Master of Science in Plant Diversity and Genetic Management has been enhanced through a comprehensive curriculum review to strengthen its relevance, competitiveness and alignment with current developments in plant biology. This programme reinforces core components in taxonomy and genetic resource management, incorporates digital and IR4.0-related technologies and expands hands-on and industry-engaged learning. New elective courses such as Ecological Data Analysis and Curation Science, together with cross-programme electives, offer greater flexibility and broader career pathways. This programme equips graduates with strong theoretical knowledge and practical skills to meet workforce needs in biodiversity, conservation, forestry, plantation, environmental sectors and research institutions, while also providing a solid foundation for doctoral studies.
Study Duration
Minimum 2 semesters (full time) / 4 semesters (part time)
Maximum 4 semesters (full time) / 8 semesters (part time)
*all lectures during weekdays and office hours (including part time)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAP6043 Biodiversity and Plant Systematics STAB6903 Diversity of Plant Genetic Resources STAB6923 Advanced Plant Biotechnology STAP6974 Research Project I | 20 |
| Elective Course | (Choose one (1)) STAB6123 Data Management and Taxonomy Resources STAB6153 Micromorphology and Plant Anatomy STAB6003 Biodiversity Conservation and Management STAB6094 Ecological Data Analysis STAB6163 Biogeography | ||
| II | Core Course | STAB6143 Economic Botany and Ethnobotany STAB6914 Plant Breeding STAB6134 Phylogeny, Diversity and Taxonomy of Cryptogams STAP6986 Research Project II | 20 |
| Elective Course | (Choose one (1)) STAB6063 Curatorial Science STAB6173 Principles and Methods of Phylogeny Reconstruction STAB6084 Natural Resource and Environmental Economics | ||
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing, and succeeding in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STAP6043 Biodiversity and Plant Systematics
This course covers an introduction to radiation protection and safety of radiation sources, basic nuclear physic and mathematics including statistics used in radiation protection. This course also includes interaction of radiation with matter and sources of radiation and also detection and measurement of quantum particles.
STAB6903 Diversity of Plant Genetic Resources
This course covers a wide range of topics in diversity of plant genetic resources, and focuses on plant species for food, livestock, horticultural, biomaterials, construction, and medical industries. These include general principles of plant diversity (evolution, domestication, breeding), centre of origin and centre of diversity, categories of plant genetic resources, their values, importances and distributions, factors that threaten plant genetic resources, gene pool concepts, plant reproductive systems, cytogenetic variation , introgression, vulnerability and genetic erosion, and issues related to plant genetic resources including cooperation between various countries in conservation, management and research on plant genetic resources, as well as farmer’s and breeder’s rights. This course also has field visit.
STAB6923 Advanced Plant Biotechnology
The course gives an introduction and overview of important advances ingenome study and analysis and the application of the derived information in plant biotechnology that can be applied to crop improvement or tree breeding programmes. The course will introduce the students to various aspects of genomics, bioinformatics and genetic manipulation including mapping plant genomes with molecular markers, map-based cloning, genome sequencing, sequence analysis, cloning vectors, transformation method and analysis of transgenic plants. The practicals, seminars and visits are designed to expose these students to the technologies and to help them link the knowledge to application.
STAB6143 Economic Botany and Ethnobotany
The course will focus and discuss the plant botanical aspects that have economic and ethnobotanical importance to man including their role in culture and civilisation of man. It also covers some plant commodity groups such as food crops (rice and other carbohydrate sources), medicinal plants and plants in rural and urban landscape. A brief history on the use of plants among the people of Southeast Asia will be outlined from the aspects of biology, environment, socio-economy, culture and their roles in modern utilisation such as plantation crops and agro- biotechnology.
STAB6914 Plant Breeding
Plant breeding is a method of plant improvement based on genetic principles. This course will discuss basic genetics covering the concept of genetic control over quantitative and qualitative characteristics, inheritance mechanisms, methods of determining heritability values, genotype due to environmental interaction, the concept of polyploidy and mutation, as well as the basics of population genetics and quantitative genetics. Next, this course will focus on the principles of plant breeding covering plant breeding systems, plant breeding methods, selection and hybridization concepts, marker-assisted breeding concepts, gene manipulation and genetic engineering. This course also explains the procedure for registration of new plant varieties. In addition to lectures, this course also involves field trips.
STAB6134 Phylogeny, Diversity and Taxonomy of Cryptogams
This course discusses aspects of taxonomy, ecology, phytogeography, reproductive biology, diversity, classification and phylogeny of lower-level plants or cryptogams. It will cover the three main groups of cryptogamous plants namely algae, bryophytes and pteridophytes. Practice on the techniques of collecting, clipping, slicing and slide preparation and identification methods will also be given to the three groups. Mini projects will be given to enhance understanding and application of knowledge.
STAB6123 Data Management and Taxonomy Resources
This course discusses how to record and document the information of plants (bryophytes, ferns and higher plants) collected during fieldwork. Collection of information includes nomenclature, plant morphology, geography, ecology, and economic value. This information is very important for the management and storage of specimens in the herbarium for reference and research purposes. Students will learn the theory and concept of biodiversity assessment using several biodiversity software in taxonomy resources management. The course also covers practical analysis of the raw data through biodiversity assessment in resource management to associate data obtained from the field with the environment. Finally, students also will be exposed to the geographical information system as technologies in taxonomy resources management. The course also covers spatial data processing and positioning of spatial location for spatial mapping purposes, which the analysis will enable students to determine the relationship between taxonomic data distribution and the environment.
STAB6153 Micromorphology and Plant Anatomy
This course discusses the diversity of anatomical features and micromorphological features of leaves, including pollen features on plants including their function and importance. The anatomical and micromorphological features of the leaves as well as the suitability of such features as additional evidence in the systematic study of plants are discussed in more detail. Examples will be given from local species and some foreign species. The morphological characteristics of pollen used for species identification will also be discussed including type, class and aperture decoration. Related mini projects are given to students to increase their understanding and implications to the application of the acquired knowledge.
STAB6003 Biodiversity Conservation and Management
Conservation and management of biological diversity is a multidisciplinary field of science that encompasses the philosophies of morality, social justice, economics, politics and sustainable development, in addition to biodiversity and natural habitat protection. Both aspects of conservation and management of biodiversity are important to consider when using natural resources to ensure sustainable development. The multidisciplinary approach is applied through lectures and discussions on the history of conservation biology, international agreements, such as the Convention on Biological Diversity, and national attempts to safeguard biodiversity through various acts, strategies and policies. In-depth discussion is given to the issues and problems facing biodiversity, particularly the impact of climate change, habitat loss, and the introduction of invasive alien species. Among the topics on conservation include the establishment of protected areas; rehabilitation of species, populations, habitats and ecosystems; integrated conservation and development project (ICDP); conservation status guide in the IUCN Red List database; and the Sustainable Development Goals (SDGs). Fieldwork involves assessing the impact of tourism activities and anthropogenic factors on the conservation and management of biodiversity at UNESCO/RAMSAR sites in Peninsular Malaysia. The use of latest technologies in conservation and management of biodiversity, especially those related to IR4.0, such as drone technology, IoT and nanotechnology will be discussed.
STAB6094 Ecological Data Analysis
Ecological data is a set of measurements collected by scientists which includes analytical and conceptual frameworks. Ecological data systems usually consist of many types of data. This course provides various numerical methods for analyzing ecological data. This course is divided into four parts. The first and second parts involve biodiversity assessment methods and approaches such as Bayesian method in ecological studies and wildlife management. The third and fourth parts are big data analysis using appropriate software such as R software and multivariate analysis to determine the interactions between biotic and abiotic data from ecological studies. Latest software will be introduced for statistical analysis, visualization, and big data. This includes introduction and the roles of big data in ecological studies and metadata quality control. In addition, students will be exposed to a variety of experimental designs and statistical methods to answer various ecological questions, and critical evaluation on the results obtained from ecological studies.
STAB6163 Biogeography
Biogeography is a multidisciplinary science related to various field such as biology, geography, geology, palaeontology and ecology. Biogeography explains about biological diversity covering aspects of species diversity, ecosystems and genetics. Biogeography seeks to answer basic question such as why are there so many living creatures? Why are they distributed in the way they are? How they occupied current distribution patterns? How are the present activities of human affecting these patterns? What are their prospects of future? The course is organized into four parts. The first part covers ecological aspects including geographical variations in physical environmental conditions and factors limiting the distribution of species. The second part covers historical aspects such as speciation, extinction, dispersal, endemism and reconstructing biogeographic histories. The third part covers the distribution of taxa in the context of time and space and the fourth part covers ecological biogeography such as equilibrium theory of island biogeography, island patterns and relation to conservation processes. Students will also learn data analysis methods in the field of biogeography that involve the latest molecular genetics approaches and big data applications in line with IR4.0.
STAB6063 Curatorial Science
This course will discuss the science of curation which includes theory, practice and understanding of the role of natural history collections in biological conservation. The course also emphasizes the importance of natural history collections as a reference for education and research. Students will be trained on methods of sampling, preparation, identification and curation of animal and plant specimens at the flora and fauna repository facilities at UKM, namely the Insect Systematics Centre, Herbarium Universiti Kebangsaan Malaysia Bangi and the Natural History Museum Faculty of Science and Technology. Students will digitise specimens for data management in line with the latest curation method as part of the course assessment. Students will also have the opportunity to visit one of the national specimen repositories.
STAB6173 Principles and Methods of Phylogeny Reconstruction
This course discusses the use of molecular data in plant/animal systematics. Various types of molecular data and multiple sequence alignment of molecular data are explained. The phylogenetic concepts are approached through the application of various phylogeny reconstruction methods i.e. Neighbour-Joining, Maximum Parsimony and Maximum Likelihood. Students will be exposed to data mining from public database, computer software such as BIOEDIT and PAUP for phylogenetic analyses.
STAB6084 Natural Resource and Environmental Economics
This course is about the application of the principles of economics to study how natural resources and the environment are developed and managed. Natural resources have a double- edge effect on economic growth, i.e., the intensity of their use increases output but also increases their depletion rate. Thus, students will be exposed to economic methods, techniques, and instruments in resolving issues such as resource scarcity, externalities, property rights, market failures, and public goods. These economic analyses provide a strong basis for well-informed decision-making that may directly or indirectly affect our environment. Fieldwork and interviews will be conducted to improve students’ understanding and aptitude for using environmental and natural resource valuation techniques. The implementation of fieldwork and interviews is through case studies, involving several environmental and natural resource sectors, such as fisheries and marine resources, forestry, wildlife (e.g. Jabatan Perhilitan), biodiversity, energy, and community-based geo-tourism (e.g. Man and Biosphere Reserve Tasik Chini dan Langkawi UNESCO Global Geopark). Students should also discuss these case studies in the context of the Sustainable Development Goals, particularly SDGs 13, 14 and 15.
STAP6974 Research Project I
This course aims to train students to conduct research in the field of biological sciences under supervision. Research is conducted through literature review and individual research. Students are required to prepare a preliminary research report with a chosen topic accompanied by a problem statement, hypothesis, significance or justification of the study, literature review and methods
STAP6986 Research Project II
This course aims to train students to do research in the field of biological sciences under the guidance of a supervisor. Research is conducted empirically and analytically. Students are required to prepare a final research report covering introduction, literature review, materials and methods, results, discussion, and conclusion. Student is also required to give an oral presentation on the research findings
The Master of Science in Chemistry by mixed mode offers a package of a minimum of two semesters for full-time students. This program is offered to qualified students from chemical industries, private colleges, research institutions, teachers and government sector which have limited time to further their studies. Graduates from this program are expected to have in-depth knowledge in advanced areas of chemistry and competence in solving problems in chemistry and related sciences.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Courses | Total Credit |
| I | Core Course | STPD6024 Research Methodology STKK6523 Spectroscopy in Organic Chemistry STKK6713 Principles of Analytical Instrument Design STKK6978 Dissertation I | 18 |
| II | Core Course | STKK6722 Chemical Management System STKK6920 Dissertation II | 22 |
Total Credit | 40 | ||
Starting on Semester 2, 2024/2025 Academic Session
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STKK6523 Spectroscopy in Organic Chemistry
This course is introduced to strengthen the students’ knowledge and skill in structural determination and stereochemistry of organic compounds. The theory and application of modern spectroscopic methods for this particular aim will be discussed, including ultraviolet, infrared, one and two-dimensional NMR and mass spectrometry. In addition, a step-by-step approach in structural elucidation of organic compounds that involves abstraction and interpretation of ultraviolet, infrared, one and two-dimensional NMR and mass spectral data will be discussed in detail. Besides focusing on the structural elucidation exercises based on the spectroscopic data, hands-on application of the instrument will also be executed during one slot of practical work. The importance of spectroscopic and physical data in the stereochemical determination of organic compounds will also be covered.
STKK6713 Principles of Analytical Instrument Design
This course provides a comprehensive understanding of designing and utilizing analytical instruments for scientific research and industrial applications. This course covers fundamental concepts in instrument design, including detectors, sensors, and data acquisition systems, emphasizing the selection of measurement techniques, signal processing methods, and calibration procedures. Various analytical techniques, such as spectroscopy, chromatography, mass spectrometry, and electrochemical methods, are explored in terms of their instrument design implications. Students are exposed to instrument validation, quality control, and regulatory compliance, preparing them for careers in research, development, and quality assurance across scientific and industrial sectors. Overall, this course equips students with essential skills for designing, optimizing, and maintaining analytical instruments to meet industry standards and regulatory requirements.
STKK6722 Chemical Management System
This course emphasizes a comprehensive discussion of the components of the management of the chemical industry. These management components involve history, legislation, and practice procedures adopted in Malaysia. Among them are The Occupational Safety and Health Act (Act 514) and its Regulations, Environmental Quality Act (Act 127), ISO 1042 Laboratory Safety Practice Procedures, ISO 9001:2000 Quality Management System, ISO 14000 Environmental Management System, Safety Management System and Occupational Health ISO 45001. This course also introduces continuous management system improvement procedures using the PDCA (Plan, Do, Check, Act) cycle model. This course also discusses hazard identification methods, risk assessment, and appropriate hazard control measures.
STKK6978 Dissertation I
This course intended to introduce students to the research environment in specialized fields in chemistry, namely organic chemistry, inorganic, analysis, physical, catalysis and polymer. The research project title will be given by lecturers whom the program coordinator has identified to guide the students during their study. Students need to understand in-depth the essence of the literature study for the title of the research project. The research project will be evaluated based on the literature review report, research proposal and presentation.
STKK6920 Dissertation II
Dissertation is a continuation of Research Project I, where students in this semester must produce a dissertation using data from the research project. Research conducted exposes students to approaches, techniques, observation and data analysis as well as research solutions. Research outcomes should be written according to the UKM style writing format (The UKM Style Guide). In addition, students are required to provide a full manuscript concerning the research project framework that has been carried out. Students are also required to attend research seminars under the university or outside parties. Assessment is based on dissertation writing, oral presentation and proof of seminar attendance. In addition, the monitoring of the development and the frequency of meeting with supervisors was also evaluated.
The Master of Science in Entomology (Mix Mode) at Universiti Kebangsaan Malaysia (UKM) is designed to provide comprehensive academic and practical training in the science of insects. This programme explores the biological, ecological, medical, and agricultural significance of insects, with a focus on their impact on ecosystems, public health, and human activities.
Delivered through a structured combination of lectures, projects, and research projects, the mix mode is ideal for students seeking an in-depth, professionally oriented understanding of entomology. Students will engage with key topics such as insect anatomy, physiology, and pest management, and will also complete a research project to apply their knowledge in a focused study.
The programme is offered to:
Graduates will be well-equipped for careers in research institutions, agriculture, public health agencies, environmental organisations, and various sectors of the biological sciences. The programme also provides a solid foundation for those intending to pursue PhD studies in entomology or related fields.
Study Duration
Minimum 3 semesters (full time) / 5 semesters (part time)
Maximum 6 semesters (full time) / 10 semesters (part time)
*all lectures during weekdays and office hours (including part time)
Intake
2 times a year (March & October)
*subjected to UKM academic calendar
Structure for Full Time
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAB6644 Insect Pest Management | 8 |
| II | Core Course | STAB6674 Insect Anatomy and Physiology STAP6978 Research Project I | 12 |
| III | Core Course | STAP6989 Research Project II | 20 |
Total Credits | 40 | ||
Structure for Part Time
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology | 4 |
| II | Core Course | STAP6978 Research Project I | 8 |
| III | Core Course | STAB6644 Insect Pest Management | 4 |
| IV | Core Course | STAB6674 Insect Anatomy and Physiology | 4 |
| V | Core Course | STAP6989 Research Project II | 20 |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAB6644 Insect Pest Management
This course will discuss the principles of Integrated Insect Pest Management (IPM). The important components that ensure the success of IPM, such as basic biology, ecology, insect behavior, biotic and abiotic factors, types of damage, economic threshold levels, monitoring, sampling, strategies and techniques of pest control that are environmental friendly using biological control agents (predators, parasitoids, pathogens and microbial insecticides) will be discussed. Students will also be introduced to the concept of on-line and modeling development for ‘Integrated Pest Management Program’ (IPM), and how best to implement (including on aspects of agricultural law) and evaluate socially, politically and environmentally acceptable in a borderless economic era. The law of pesticide development, usage and selling and aspect of insect quarantine will also be discussed. Additionally, students will be introduced to contributions of biotechnology methods and techniques to the progress and success of IPM. At the end of the course students are required to develop an IPM for the current three species of major insect pests of their selected crops.
STAB6674 Insect Anatomy and Physiology
This course discusses on anatomy and various physiological processes occurring within insects for them to carry out daily activities for purposes of survival and reproduction. The anatomy and basic physiological processes discussed include endocrine system and insect growth, reproductive system, embryogenesis, digestive system and nutrition, excretory system and ion balance, circulatory system and immune mechanism, respiration as well as muscle system and insect flight. In addition, nervous and sensory systems, insect perception, sound and light production as well as pheromone in insect communication are also discussed. Through case study, lab and readings on the latest research publications in insect physiology, students will be able to understand the functions of a broad physiological system in relation to morphological, anatomical, and biochemical changes in insects that brought about their natural behaviour which are essential for practical application at the macro as well as molecular levels.
STAP6978 Research Project I
This course aims to train students to conduct research in the field of biological sciences under supervision. Research is conducted through literature review and individual research. Students are required to prepare a preliminary research report with a chosen topic accompanied by a problem statement, hypothesis, significance or justification of the study, literature review and methods.
STAP6989 Research Project II
This course aims to train students to do research in the field of biological sciences under the guidance of a supervisor. Research is conducted empirically and analytically. Students are required to prepare a final research report covering introduction, literature review, materials and methods, results, discussion and conclusion. Student is also requried to give an oral presentation on the research findings.
Our faculty currently offers 2 Masters Programmes by Mix Mode (course work and research). All our programmes integrate the exploration of new knowledge for the creation of graduates who are learned, dynamic and guided by national aspirations in a minimum 1 year of study.
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Strategic location in Klang Valley, Malaysia.
UKM is a leading research University in the country
Expertise in various field of science and technology and encourage cross discipline research
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APEL.Q (Accreditation of Prior Experiential Learning for Qualifications) is the award of academic qualifications to individual learners through the evaluation and assessment of prior experiential learning toward a fully accredited degree
To use your prior experiential learning for enrolment in a fully accredited programmevia APEL.Q, you must meet the minimum 20 years of experience stipulated by MQA
Get full accredited academic degree within 1 year
Programs are accredited by Malaysian Qualifications Agency (MQA)
Validity, transparency and consistency APEL.Q process
High graduate employability
The International Dual PhD Degree Programme provides its registered students the opportunity to complete their PhD degree at Universiti Kebangsaan Malaysia (UKM) and Osaka University (OU), Japan. This Dual PhD Degree programme is a smart partnership that brings benefits to the students in terms of countless experience and global perspectives during their learning process. They will be exposed to the experts and the numerous resources from two different Universities from two different countries.
Potential students must satisfy each university’s admission requirements, including language proficiency. A student who is accepted to join the programme will be supervised by at least 2 supervisors, two from each university and will be required to spend part of their study at each university for at least 12 months. After fulling all the requirements from both universities, the students will be awarded two PhD certificates, two from each university.
Study Duration
Full Time : 6 – 12 semesters
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Course | Total Credit |
| I or II | Core Course | STPD8014 | 4 |
| III | Thesis Progress Evaluation (Research Progress) | ||
| V | Thesis Progress Evaluation (Research Progress) | ||
STPD8014 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researcher with caliber. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students also has the opportunity to produce a review paper based on their literature review and experimental design. Students will be evaluated based on the writing of literature review and research proposal, attendance, as well as oral presentation of the research proposal.
This programme offers students to conduct PhD level scientific research at Universiti Kebangsaan Malaysia (home institution) and Gifu University (host institution). The field offered is in the field of Materials Science and Engineering. This field is further divided into several areas of specialization that will highlight the areas of expertise of FST and UKM in research in line with the status of Research University (RU).
Study Duration
Full Time : 6 – 12 semesters
Intake
Intake – every April
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Course | Total Credit |
| I or II | Core Course | STPD8014 | 4 |
| III | Thesis Progress Evaluation (Research Progress) | ||
| V | Thesis Progress Evaluation (Research Progress) | ||
STPD8014 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researcher with caliber. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students also has the opportunity to produce a review paper based on their literature review and experimental design. Students will be evaluated based on the writing of literature review and research proposal, attendance, as well as oral presentation of the research proposal.
This course covers introduction to national and regional systems for nuclear safety, physical protection of nuclear materials and facilities, detection and response, principles of nuclear safeguards, nuclear material accountancy, integrated safeguards, containment and surveillance, satellite monitoring and international law.
Study Duration
Minimum 3 semesters (1½ year)
Maximum 4 semesters (2 years)
*Classes on weekends
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STSN6042 Radiation Effects, Safety and Radiation Protection STSN6153 International and National Legal Framework for Nuclear Safety, Security and Safeguard STSN6023 Basic Concepts and Principles in Nuclear Safety, Security and Safeguard STSN6082 Practical I STSN6152 Nuclear Reactor Safety STSN6972 Research Project I | 18 |
| II | Core Course | STSN6113 Uses of Nuclear Security and Safeguard STSN6193 Physical Protection of Nuclear Materials and Nuclear Facilities STSN6182 Control and Accounting of Nuclear Materials for Safeguard and Security Purposes STSN6183 Nuclear Forensics STSN6342 Nuclear Emergency Preparedness and Response STSN6282 Nuclear Securities Management STSN6382 Practical II STSN6283 Nuclear Securities for Materials Outside Legal Control | 20 |
| III | Core Course | STSN6352 Cyber Security STSN6062 Fuel Cycle and Radioactive Waste Management STSN6976 Research Project II | 10 |
| Total Credits | 48 | ||
STSN6042 Radiation Effects, Safety and Radiation Protection
This course will provide the basic overview and understanding of nuclear and radiation properties and effects, and how the principles of radiation protection is applied to minimize the adverse effects of nuclear and radiation exposure towards public and radiation worker safety. Topics in this course includes Nuclear Properties; Nuclear Reactions; Radioactive Decay; Interaction of Radiation with Matter; Effects of Ionising Radiation on Biological Systems, Principles of Radiation Protection; Protection against Occupational Exposure and Protection of the Public.
STSN6153 International and National Legal Framework for Nuclear Safety, Security and Safeguard
This course will provide an overview of the relevant international binding and non-binding legal instruments, international organizations involved in nuclear safety, security and safeguards issues and will focus on the elements of a national legal regime needed to establish and maintain nuclear application in a country. It aims to promote knowledge and understanding of the diversity of legal matters and issues related to nuclear safety, security.
STSN6023 Basic Concepts and Principles in Nuclear Safety, Security and Safeguard
This course focuses on the Basic Concept of Nuclear Safety, Nuclear Security and Nuclear Safeguards. Their relationships for the national, regulatory and operational levels will be discussed in details including some practical examples of how 3S are intertwined within the legal, regulatory and operational areas of nuclear facilities and other activities involving nuclear material, such as those in hospitals and industry. It also explores some of the synergies between the 3S. In addition, the effectives and efficient strategies for implementing 3S in nuclear operation will also be discussed. The areas in which good practices of 3S have been identified as well as challenges in the implementation of 3S will also be included in this course.
STSN6082 Practical I
This course involves practicals and demonstration of the detection device identiFINDER, which is one of the most basic mobile equipment in Nuclear Safety, Security and Safeguards. This practical course will concentrate on giving students the understanding behind the working principle of the device, and carry out experiments that highlights the capability and limitations of the device, and situation or conditions where the device can be optimally utilised.
STSN6972 Research Project I
This course is aim at training students to study specific topics on nuclear safety security and safeguards through extensive readings and guided research. Students are required to identify a research project, propose research plan and literature review. The research will be conducted in STSN6986 Research Projects II.
STSN6113 Uses of Nuclear Security and Safeguard
The course will provide a general overview regarding nuclear safeguards and nuclear security in the most common nuclear technologies in power generation, industry and medicine. Nuclear reactors, nuclear fuel cycle facilities, radioisotope production and radioisotope applications will be considered in more detail.
STSN6193 Physical Protection of Nuclear Materials and Nuclear Facilities
The course in intended to provide an appreciation for need to protect nuclear materials and nuclear facilities from adversaries and sabotage with grounding in the basic principles of nuclear security and management. The course will provide a general description of adversaries (their tactics and methods, psychological aspects and adversary organizations), the role of threat information in developing appropriate security measures and counterterrorism methods. The course will provide all important elements of the process of PPS design, such as target identification, PPS evaluation approaches, response and communication, vulnerability assessment, performance testing, operating principles and contingency plan will be described in detail.
STSN6182 Control and Accounting of Nuclear Materials for Safeguard and Security Purposes
This course covers Nuclear Materials Subject to Safeguards; Basic Principles of Nuclear Material Management; Statistical Aspects of Nuclear Material Accountancy and Auditing; Containment and Surveillance; Material Balance: Areas, Balance Period, Inventory
STSN6183 Nuclear Forensics
The focus of this course on nuclear forensics will be on a detailed description of analytical tools for nuclear forensics and nuclear forensic analysis. In addition, the course will emphasize the sampling and distribution methods in a nuclear forensics laboratory. Considerable time will be spent on interpretation of findings in nuclear forensics and data quality methods aiming to enhance confidence in driven conclusions.
STSN6342 Nuclear Emergency Preparedness and Response
This course will provide an overview of established requirements for an adequate level of preparedness and response to a radiation emergency. Introduction to National Radiation Safety, Prevention and Management of Radiation Accidents will be discussed in detail. This includes the national plan for nuclear or radiological emergencies, transboundary emergencies and the role of the regulatory body.
STSN6282 Nuclear Securities Management
This course focuses on the Basic Elements of Nuclear Safety, Nuclear Security and Nuclear Safeguards and their Interrelationship. It examines methods for planning and evaluating nuclear security activities at the State and facility level, establishing nuclear security culture in different types of nuclear and radiological installation. The roles and responsibilities at the International, State and Operational levels will also be discussed as well as prevention and transport security, detection, response, and information security.
STSN6382 Practical II
This course involves practicals and demonstration of the detection device identiFINDER, which is one of the most basic mobile equipment in Nuclear Safety, Security and Safaeguards. This second practical course concentrates on the analyses of data obtained from the field to achieve the correct conclusion. Emphasis is given on the procedure to transfer information from the identiFINDER to the analytical software, and the application of the analytical software to determine the nuclear material, enrichment and shielding. Students will also be exposed to advanced analyses done with additional information obtained from gamma spectrum.
STSN6283 Nuclear Securities for Materials Outside Legal Control
This course will emphasize the need for a robust second line defence in a State, i.e. effective capabilities to detect and interdict unauthorized movement of nuclear and other radioactive materials both at borders and within the state. The course will provide the fundamental components necessary for developing and implementing effective detection strategies and for maintaining detection system.
STSN6352 Cyber Security
This course will provide an overview of computer security specifically as it applies to nuclear security. The focus of computer security is preventions, detection and response to malicious acts involving computer systems. It aims to address the establishment and improvement of programmes to protect those computer systems, networks and other digital systems that are critical for the safe and secure operation of the nuclear facility and for preventing theft, sabotage and other malicious acts.
STSN6062 Fuel Cycle and Radioactive Waste Management
The course covers overview of the nuclear fuel cycle; the “front end” of the fuel cycle; nuclear fission reactor; reprocessing: THORP case study; the “back end” of the fuel cycle; types of nuclear waste, waste classification and overall management like treatment and disposal of radioactive waste from NPP and treatment facilities, solidification and volume reduction technology, package and transportation, interim storage and disposal repository, repository safety analysis, decontamination and decommission, and spent fuel management.
STSN6976 Research Project II
This course is a continuation of STSN6972 Research Project I. Students are required to carry out research, analyse and present results as well as writing a dissertation to be evaluated. Students must show the originality of their research and must be able to defend their findings.
Data science is a multidisciplinary field of study that involves scientific methods, processes and systems in extracting both explicit and implicit information from a variety of data structures. It combines the knowledge of mathematics and statistics, programming and data analytics. This master programme offers a variety of courses with emphasis on data analytics. Students are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytic to match their interests and career paths. The aim of the programme is to produce knowledgeable, ethical and competitive graduates who can contribute to the nations.
Study Duration
Minimum 3 semesters (1½ years)
Maximum 4 semesters (2 years)
Intake
Intake – every October
*subjected to UKM academic calendar
Data Computing Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 STQD6324 STQD6114 STQS6444 STQM6154 STQD6334 STQD6524 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
Data Analytic Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 Data Visualization and Communication STQS6284 STQD6114 STQD6134 STQS6444 STQS6234 STQM6154 STQD6334 STQD6524 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
Finance and Business Analytic Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 STQD6134 TQD6114 STQS6444 STQD6334 STQA6014 STQA6034 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
STQA6014 Investment Analysis and Portfolio Management
The focus of this course is on the investment decision making. It presents the applications of various investment instruments and its role in risk management. The concept of risks and returns are covered comprehensively. Efficient diversification is discussed with the emphasis on the construction of efficient portfolio. The different kinds of investment instruments are assessed and weighted. Share valuation methods and portfolio theories such as the Markowitz theory, the Single Index model, the Capital Asset Pricing Model are discussed. The fundamental and technical analyses are also explained. The behavioral finance theory such as the Efficient Market Hypothesis is included. Students will participate in learning activities consisting of article journal discussion and project presentations.
STQA6034 Issues in Risk Management and Insurance
This course has one main objectives; the first is to provide students with a broad perspective of risk management that emphasize traditional risk management and insurance while introducing other types of risk management, while the second is to equip students with the tools needed for the analysis of mathematical models that describe the loss process. The major topics that will be covered are risk management (objectives, measurement, diversification and retention), hedging, corporate risk management, enterprise risk management, estimation methods (for complete and incomplete data) and model selection. The students will also be trained to use R and Excell software for computing relevant mathematical analysis. At the end of semester, students are required to make a presentation on an article from an agreed journal so that they will appreciate the applicability of concepts and methodologies covered in this course.
STQD6014 Data Science
This course aims to expose students to the basic principles of data science and Python programming. Students will be introduced with the concept of big data and the various types of data related to it. This course would also covers the algorithms, processes, methods and analyses used in the field of data science with examples and discussions using Python. Other topics covered are the current data technologies available for storing and archiving data.
STQD6024 Machine Learning
This course aims to expose students on concepts, techniques and algorithms in machine learning. Machine learning revolves around the development of a computer system, which is able to self-learning and improving through experience and recorded data. This course is among main technologies in Big Data and its applications in various fields. Among common topics covered are neural neonerk, decision tree and support vector machines. Among advanced topics covered are ensemble and unsupervised learning also reinforcement and evolutionary learning.
STQD6114 Unstructured Data Analytics
The aim of this course is to introduce students to basic and current methods used to compile, summarize and analyze unstructured and semi-structured data. Unstructured data includes texts, images and audios. Focus are given to algorithms and techniques for mining, exploring and analyzing unstructured data using suitable packages. Students are also exposed to sources for unstructured data. Related applications of unstructured data such as sentiment analysis, document clustering and information extraction are also discussed.
STQD6124 Data Visualization and Communication
This course introduces students to the basic principles of data visualization and communication. Students are exposed to the principle of designing visualizations, human perception, colour theory and effective data storytelling. Suitable graphs and charts to convey information clearly are taught. Students will be trained to use visualization softwares such as R, ggplot, MatplotLib, D3 and others. Some specific graphical techniques will be introduces such as visualizing multivariate, time series, spatial, texts, hierarchical and neonerk data.
STQD6134 Business Analytics
This course aims to expose students on the techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. It is divided into customer, operation and people analytics. Customer analytics focuses on how data is used to describe, explain, and predict customer behavior. Meanwhile, operation analytics focuses on how the data can be used to profitably match supply with demand in various business settings. This also covers on how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. Finally, people analytics is a data – driven approach to managing people at work.
STQD6214 Mathematical Statistics with Computing
This course aims to expose students to the fundamentals of mathematical statistics including descriptive statistics, graphical displays, sampling distributions, hypothesis testing and other methods in data analysis. This course also reflects the integral role of R in computing statistical problems. Basic simulation concepts are discussed with examples. Students will learn how to generate data, analyze data using statistical methods and interpret the results obtained.
STQD6324 Data Management
This course aims to provide the fundamental and state of the art on the technologies used in data management big data solutions. Students will be introduced to data model, databases, querying and big data processing. It covers data security, data centre and the development of big data solutions such as the Hadoop ecosystem, including MapReduce and HDFS. Apache Spark will also be introduced, including Spark’s architecture, data distribution and parallelisation of tasks. Students will have a better understanding on how to optimise the information in the big data using Spark’s memory caching, as well as using the more advanced operations available in Spark.
STQD6334 Multicriteria Decision Making
The purpose of this course is to introduce the concepts and techniques in solving Multi-criteria Decision Making problems. The methods to be used to solve the problems depend on the type of problems. Topics included are decision making without probabilities, decision making with probabilities, decision making with sample information, decision making under uncertainties, Analytic Hierarchy Process, TOPSIS, VIKOR, PROMETHEE and ELECTRE.
STQD6414 Data Mining
This course explains in detail about the process of exploration in the database (KDD) and data mining. This course discusses the process of data preparation which includes data cleaning, integration, transformation, reduction and discretization. This course covers the the general concept of data mining process on various types of data stream, sequence, time series, text, spatial and web-data.
STQD6524 Statistical Methods for Computational Biology
The aim of this course is to give exposure on statistical methods and computation in biology and bioinformatics. Focus is given on the understanding of basic statistical concepts and inferential statistics as well as their use in solving biological problems. This course covers topics such as introduction to genetic data, gene expression data, DNA sequential data, Protein and RNA, sequential analysis, phylogenetic, gene expression analysis and micro array data analysis. Statistical methods that will be covered are inferential statistics methods, hypothesis testings, multivariate, statistical modelling, experimental design, robust statistical techniques, Bayesian and Markov Chain Monte Carlo.
STQD6889 Capstone Project
Capstone project provides experiential learning opportunity and gives students space to produce a product which is evaluated by potential employers. The project is obtained from real world problems and executed in collaboration with industry, government or private agencies, or academics. Students will use knowledge and skills which they have obtained throughout their study to help solve real problems. During the course of the project, students will be involved with the whole process of identifying and defining problems, giving solutions and limitations, perform analysis, reporting and presenting results and giving suggestions
STQM6154 Network Science
This course introduces mathematical theories in neonerk science. Neonerk science is a multidiscipline field which investigate problems that can be understood through neonerk approach. Among the aims of neonerk science are to find cross-neonerk equations and increase understanding of systems which are represented by neonerks through data analysis. The use of neonerk science can be found in mathematics, social neonerks, biological systems and transportations
STQP6014 Research Methodology and Industrial Seminar
The aim of this course is to give a background and method to perform scientific research in Data Dcience field. Research ethics, research principes, research designs and the role of researhers are discussed. Research methodologies, sampling and data collection as well as critical literature review are exposed to the students. Students will also be exposed to current issues and recent research in Data Science through a series of Data Science Seminar by inviting researchers and main industry practitioners in this field.
STQS6234 Bayesian Inference
This course introduces to the students on Bayesian’s theories. Bayesian inference for normal distributions is also discussed. Other than that, Bayesian inference for distributions other than normal, for example Binomial and Poisson is also explained. Other topics include hierarchical Bayesian model, empirical Bayesian, hypothesis testing, correlation, regression and analysis of variance.
STQS6284 Multivariate Analysis
This course intends to introduce statistical mehods for multivariate data. Students are emphasized on the comprehension of the concepts and theories in multivariate analysis. Among topics covered in this course are matrix algebra, multivariate normal distribution, hypothesis testing for multivariate data, principal component analysia, factor analysis, discriminant analysis and cluster analysis.
STQS6444 Time Series Modelling and Forecasting
The objectives of this course are estimating simple regression models, explaining the techniques for modeling trend and volatility in time series data, explaining the cointegrating relation between one or more time series, and at the same time highlighting several major issues in time series analysis that are related to stationarity, trend, volatility, and cointegration. In particular, for modeling trend and volatility, the focus will be on the ARCH-GARCH models. As for cointegration, the error-correction mechanism and the Johansen approach will be discussed. At the end of the semester, the students will be required to write one short report on the application of statistical testing methods and model analyses that are covered during the semester.
Chemical biology is an interdisciplinary field that combines chemistry and biology to understand biological systems at the molecular level. Subjects related to chemical biology include biochemistry, molecular biology, medicinal chemistry, structural biology, proteomics, chemical genetics, metabolomics and synthetic biology.
PhD (University Of Reading)
✉️ ntalip@ukm.edu.my
Expertise: Plant Taxonomy, Plant Systematic, Plant Anatomy, Plant Micromorphology, Plant Palynology

PhD (UKMalaysia)
✉️ mardiana@ukm.edu.my
Expertise: Environmental Analytical Chemistry, Environmental Modelling, Plant Allelopathy

PhD (Aarhus University)Denmark
✉️ fir_my@ukm.edu.my
Expertise: Lipid Modification, Biodiesel And Biofuel Chemistry, Edible And Non-Edible Oil Modification For Consumer's Product

PhD (Imperial College London)
✉️nurulhuda@ukm.edu.myy
Expertise: Inorganic Synthesis, Sensors/Biosensors, Medicinal Inorganic Chemistry
Biotechnology is a field of study that combines biology and technology to develop innovative products and processes for a wide range of applications. Biotechnology research encompasses a broad range of topics, including genetic engineering, synthetic biology, bioinformatics, bioprocessing, and nanobiotechnology. This research has numerous applications in fields such as medicine, agriculture, environmental science, and industrial manufacturing. Biotechnology has led to the development of new drugs, vaccines, and medical treatments, as well as innovations in agriculture such as genetically modified crops and livestock. It has also contributed to advances in renewable energy production and waste management. The scope of biotechnology research continues to expand as new technologies and applications are developed, making it an exciting and rapidly evolving field.
PhD (Univ. Of Edinburgh)
✉️ maniz@ukm.edu.my
Expertise: Plant Cell Biotechnology, Plant Genetics, Plant Cell Culture and Secondary Metabolite, Plant Molecular Biology

PhD (UMIST)
✉️hisham@ukm.edu.my
Expertise:
Stem cell, Cytotechnology, Biomarker, Human Genetics
PhD (Cambridge)
✉️ klwan@ukm.edu.my
Expertise: Parasite Genomics, Plant Genomics, Molecular Parasitology, Plant Molecular Biology

PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (Queensland)
✉️ shazrul@ukm.edu.my
Expertise: Food Biotechnology, Functional Food, Biochemistry, Molecular Biology

PhD (Southampton)
✉️ roohaida@ukm.edu.my
Expertise: Plant Biochemistry, Plant Molecular Biology, Plant Functional Genomics, Algal Molecular Biology

PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Technology, Biomaterial, Chemical Engineering

PhD (University of Edinburgh)
✉️airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (University of London)
✉️ dorisquay@ukm.edu.my
Expertise: High Temperature superconductorsStructural Biology (X-ray Crystallography), Molecular Biology, Computational Molecular Biology, Biotechnology, Biochemistry

PhD (Dublin)
✉️izzy@ukm.edu.my
Expertise:
Protein Biochemistry, Enzymology

PhD (Univ. of Liverpool, UK)
✉️ ibb@ukm.edu.my
Expertise: Fungal Biology, Microbial Genomics, Plant Pathogens, Biological Control, Antarctic Microbes

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (Shandong University of Technology, China)
✉️yusufnazir@ukm.edu.my
Expertise:
Microbial Biotechnology, Fermentation and bioprocess technology, Food Microbiology and Biotechnology

PhD (Sydney)
✉️fareed@ukm.edu.my
Expertise: Applied Microbiology, Bioprospecting, Machine learning application, Antimicrobial peptide

PhD (University of Western Australia)
✉️ hafiz87@ukm.edu.my
Expertise: Plant Biotechnology, Plant Molecular Biology

PhD (Kyushu Institute of Tech.)
✉️nazlinayasin@ukm.edu.my
Expertise: Environmental Biotechnology, Bioprocess Technology, Biorefinery, Renewable Energy

PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (The University of Manchester, United Kingdom)
✉️njamar@ukm.edu.my
Expertise:
Applied Microbiology, Food Toxicology
PhD (Reading)
✉️nurulaqilah@ukm.edu.my
Expertise:
Food Microbiology, Food Bioprocess, Fermentation Technology, Purification Technology, Reutilisation of Food Waste

PhD (University Of Nottingham)
✉️hikma@ukm.edu.my
Expertise:
Plant Molecular Biology, Plant Development & Cell Signaling, Plant Abiotic Stress

PhD (UKMalaysia)
✉️sylvia@ukm.edu.my
Expertise: Microbial genomics, Infectious disease, Microbial leaching, Host-pathogen interaction, Diagnosis biomarker

PhD (Dublin)
✉️syaidatul@ukm.edu.my
Expertise:
Environmental Microbiology, Bioremediation, Environmental Biotechnology

Biology is the scientific study of life and living organisms, including their structure, function, evolution, and interactions with the environment. The scope of biology research is vast and encompasses a wide range of topics, from molecular and cellular biology to ecology and evolution. Some of the major areas of focus in biology research include genetics and genomics, developmental biology, physiology, microbiology, immunology, neuroscience, and environmental biology. The findings from biology research have many practical applications, such as in medicine, agriculture, conservation, and biotechnology, and contribute to our understanding of the natural world and the diversity of life on our planet.
PhD (UKMalaysia)
✉️ abgbadd@ukm.edu.my
Expertise: Aquaculture, Functional Food, Microbiology

PhD (Univ. Of East Anglia)
✉️ vani@ukm.edu.my
Expertise: Plant Microbe Interaction, Plant Biotic And Abiotic Stresses, Soil Microbial Remediation

PhD (University Of Reading)
✉️ ntalip@ukm.edu.my
Expertise: Plant Anatomy, Plant Micromorphology, Plant Palynology, Plant Systematic, Plant Taxonomy

PhD (UKMalaysia)
✉️ norhayatiahmad@ukm.edu.my
Expertise: Vertebrate Zoology and Ecology, Biodiversity, Conservation Biology, Herpetology, Biological Heritage

PhD (State University of Groningen)
✉️ salmah78@ukm.edu.my
Expertise: Insect Systematics - Molecular Phylogenetics - Insects Diversity - Species Interaction

PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (UKMalaysia)
✉️farah_sh@ukm.edu.my
Expertise: Vertebrate Ecology, Parasitology, Zoonosis, Conservation Biology

PhD (Univ. Of Edinburgh)
✉️ deen@ukm.edu.my
Expertise: Biodiversity, Flora, Fern Taxonomy, Molecule Systematic

PhD (Queensland)
✉️ shazrul@ukm.edu.my
Expertise: Food Biotechnology, Functional Food, Biochemistry, Molecular Biology

PhD (UKMalaysia)
✉️ ng_yf@ukm.edu.my
Expertise: Ekologi dan taksonomi serangga thrips (order Thysanoptera) dan pepatung (order Odonata)

PhD (USMalaysia)
✉️ slwee@ukm.edu.my
Expertise: Insect Behaviour, Plant-Insect Interaction, Insect Pest Management, Diptera Diversity (Tephritidae & Calliphoridae)

PhD (Cambridge)
✉️ amirahsidik@ukm.edu.my
Expertise:https://scholar.google.com/citations?user=qbAhAmEAAAAJ&hl=en&oi=ao

PhD (USMalaysia)
✉️danialhariz@ukm.edu.my
Expertise:
eDNA Metabarcoding, Integrative Taxonomy, Conservation

PhD (Sydney)
✉️herry@ukm.edu.my
Expertise:
Cell Biology, Aquatic Biology, Environmental Genotoxicology

PhD (Univ. Koblenz, Germany)
✉️izfahazmi@ukm.edu.my
Expertise:
Taxonomy and Systematics of Insect

PhD (Univ. of Liverpool, UK)
✉️ ibb@ukm.edu.my
Expertise: Fungal Biology, Microbial Genomics, Plant Pathogens, Biological Control, Antarctic Microbes

PhD (Univ. of Alicante, Valencia, Spain.)
✉️ johari_j@ukm.edu.my
Expertise: Insect Pest Management, Biological Control, Insect Pathogens, Bioacoustics

PhD (Texas Tech Uni USA)
✉️ julianas@ukm.edu.my
Expertise: Conservation biology, Biomechanics, Chiropterologist
PhD (UMalaya)
✉️ msaifulmansor@ukm.edu.my
Expertise: Vertebrate Ecology and Evolution, Molecular Ecology, Wildlife Management
PhD (UKMalaysia)
✉️ikmal.asmuni@ukm.edu.my
Expertise:
Plant Genomics, Plant Breeding, Plant Physiology, Agronomy

PhD (University of Manchester, UK)
✉️ syafiqmusa@ukm.edu.my
Expertise: Marine Biology, Fish Eco-physiology, Microplastic, Climate Change, Shark Conservation

PhD (The Univ. of Adelade)
✉️ nadia.zulkifli@ukm.edu.my
Expertise: Animal Genetics
PhD (University of Liège, Belgium)
✉️riena@ukm.edu.my
Expertise:
Botany, Plant Systematics, Plant Taxonomy, Bryology, Biodiversity

PhD (UPMalaysia)
✉️ nora_aziz@ukm.edu.my
Expertise: Plant Breeding (Conventional, Molecular & Mutational Breeding), Genetics, Agronomy, Agricultural Sciences

PhD (UKMalaysia)
✉️ linda_md@ukm.edu.my
Expertise: Ethology, Animal Histology & Physiology

PhD (UKMalaysia)
✉️aliahkhaduwi@ukm.edu.my
Expertise:
Pteridology, Plant Systematics
PhD (Aberdeen)
✉️nuraqilah@ukm.edu.my
Expertise:
BIOLOGY, PLANT SCIENCE, MYCOLOGY FOREST ECOLOGY, ENVIRONMENTAL SCIENCE
PhD (UKMalaysia)
✉️ farahzainee@ukm.edu.my
Expertise: Taxonomy, Ecology and Biology of Algae
PhD (The University of Manchester, United Kingdom)
✉️njamar@ukm.edu.my
Expertise:
Applied Microbiology, Food Toxicology
PhD (UKMalaysia)
✉️ syazwani.basir@ukm.edu.my
Expertise: Palynology, Plant Functional Anatomy, Phytochemistry, Histology

PhD (Australian National University, Canberra)
✉️ wahida@ukm.edu.my
Expertise: Insect Physiology and Biochemistry, Insect Histology and ultrastructure, Insect Toxicology

PhD (UKMalaysia)
✉️ shamsulk@ukm.edu.my
Expertise: Botany, Plant diversity and Taxonomy of Spermatophytes

Molecular biology is the study of biology at a molecular level. The field overlaps with other areas of biology and chemistry, particularly genetics and biochemistry. Molecular biology chiefly concerns itself with understanding the interactions between the various systems of a cell, including the interactions between DNA, RNA and protein biosynthesis as well as learning how these interactions are regulated.
PhD (Edinburgh)
✉️maniz@ukm.edu.my
Expertise:
Plant Cell Biotechnology, Plant Genetics, Plant Cell Culture and Secondary Metabolite, Plant Molecular Biology

PhD (Univ. Of East Anglia)
✉️ vani@ukm.edu.my
Expertise: Plant Microbe Interaction, Plant Biotic And Abiotic Stresses, Soil Microbial Remediation

PhD (Sheffield)
✉️m.firdaus@ukm.edu.my
Expertise: Bioinformatics, Molecular Biophysics, Computational Structural Biology

PhD (UMIST)
✉️hisham@ukm.edu.my
Expertise:
Stem cell, Cytotechnology, Biomarker, Human Genetics
PhD (Cambridge)
✉️klwan@ukm.edu.my
Expertise:
Parasite Genomics, Plant Genomics, Molecular Parasitology, Plant Molecular Biology

PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (Univ. Of Edinburgh)
✉️ deen@ukm.edu.my
Expertise: Biodiversity, Flora, Fern Taxonomy, Molecule Systematic

PhD (Queensland)
✉️shazrul@ukm.edu.my
Expertise: Food Biotechnology, Functional Food, Biochemistry, Molecular Biology

PhD (Warwick)
✉️ nazlina@ukm.edu.my
Expertise: Molecular Virology, Toxicology, Antimicrobial Activity, Immunology, DNA Recombinant Technology

PhD (Southampton)
✉️roohaida@ukm.edu.my
Expertise: Plant Biochemistry, Plant Molecular Biology, Plant Functional Genomics, Algal Molecular Biology

PhD (Cambridge)
✉️ amirahsidik@ukm.edu.my
Expertise: Plant ion and molecular signalling, abiotic stress responses

PhD (UMalaya)
✉️bernardlkb@ukm.edu.my
Expertise:
Data science, applied statistics, cancer biology, computational biology
PhD (USMalaysia)
✉️danialhariz@ukm.edu.my
Expertise:
eDNA Metabarcoding, Integrative Taxonomy, Conservation

PhD (University of London)
✉️ dorisquay@ukm.edu.my
Expertise: High Temperature superconductorsStructural Biology (X-ray Crystallography), Molecular Biology, Computational Molecular Biology, Biotechnology, Biochemistry

PhD (Univ. of Liverpool, UK)
✉️ ibb@ukm.edu.my
Expertise: Fungal Biology, Microbial Genomics, Plant Pathogens, Biological Control, Antarctic Microbes

PhD (UKMalaysia / University of Otago PG Visiting Fellow, NZ)
✉️ jasper.james@ukm.edu.my
Expertise:Molecular Mycology, Antifungal Drug Resistance Mechanisms, Drug-efflux Pump Proteins, Yeast Genetic Engineering, Transcriptomics

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (UKMalaysia)
✉️mohdasifsukri@ukm.edu.my
Expertise: Antibiotic Resistance In Bacteria, Pathogenesis Of Bacteria, Virus Genomics, And Emerging Infectious Disease

PhD (UKMalaysia)
✉️ikmal.asmuni@ukm.edu.my
Expertise:Plant Genomics, Plant Breeding, Plant Physiology, Agronomy

PhD (UPMalaysia)
✉️rohaizad@ukm.edu.my
Expertise:
"Pharmacology & Toxicology, Cancer biology, Natural products
"
PhD (University of Liège, Belgium)
✉️riena@ukm.edu.my
Expertise:
Botany, Plant Systematics, Plant Taxonomy, Bryology, Biodiversity

PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (University Of Nottingham)
✉️hikma@ukm.edu.my
Expertise:
Plant Molecular Biology, Plant Development & Cell Signaling, Plant Abiotic Stress

PhD (UKMalaysia)
✉️shazilah@ukm.edu.my
Expertise: Enzyme Technology, Molecular Biology, Protein Engineering, Structural Biology

PhD (UKMalaysia)
✉️sylvia@ukm.edu.my
Expertise: Microbial genomics, Infectious disease, Microbial leaching, Host-pathogen interaction, Diagnosis biomarker

The field of plant biotechnology highlights developing new techniques towards improvements for plant production to supply the global need for food, raw materials and fuel. In addition to being a source of food, plants also provide us with many pharmaceuticals and industrial compounds. As our population grows, our daily needs also grow. Through plant biotechnology, the increase in quality crops, increased crop yields and the production of specific characteristics in plants is achievable. In this programme, the students will be exposed to the knowledge and techniques related to plant biotechnology with particular emphasis on aspects of tissue culture and plant molecular biology.
PhD (Edinburgh)
✉️maniz@ukm.edu.my
Expertise:
Plant Cell Biotechnology, Plant Genetics, Plant Cell Culture and Secondary Metabolite, Plant Molecular Biology

PhD (East Anglia)
✉️vani@ukm.edu.my
Expertise:Plant microbe interation, plant biotic and abiotic stresses, soil microbial remediation

PhD (Cambridge)
✉️klwan@ukm.edu.my
Expertise:Parasite Genomics, Plant Genomics, Molecular Parasitology, Plant Molecular Biology

PhD (Southampton)
✉️ roohaida@ukm.edu.my
Expertise: Plant Biochemistry, Plant Molecular Biology, Plant Functional Genomics, Algal Molecular Biology

PhD (Southampton)
✉️ amirahsidik@ukm.edu.my
Expertise: Plant ion and molecular signalling, abiotic stress responses

PhD (UKMalaysia)
✉️ikmal.asmuni@ukm.edu.my
Expertise:Plant Genomics, Plant Breeding, Plant Physiology, Agronomy

PhD (Univ. of Western Australia)
✉️ hafiz87@ukm.edu.my
Expertise: Plant Biotechnology, Plant Molecular Biology

PhD (UPMalaysia)
✉️ nora_aziz@ukm.edu.my
Expertise: Plant Breeding (Conventional, Molecular & Mutational Breeding), Genetics, Agronomy, Agricultural Sciences

PhD (Penn State Univ.)
✉️ liyana@ukm.edu.my
Expertise: Plant molecular biology, Plant physiology, Plant abiotic stress

PhD (Nottingham)
✉️hikma@ukm.edu.my
Expertise:
Plant Molecular Biology, Plant Development & Cell Signaling, Plant Abiotic Stress

Environmental science is an interdisciplinary science that studies the interactions between the physical, chemical, and biological components of ecosystems. Environmental science aims to understand three things: natural phenomena, how humans interact with the environment, and how humans impact their environment. Environmental science is concerned with determining the best ways for humans to interact with their environment, which has resulted in ecosystem services such as water purification, air purification, and waste product recycling. Environmental science research topics include physical, chemical, and biological aspects of the environment. The research is primarily concerned with environmental conservation and prevention.
PhD (Loughborough)
✉️abas@ukm.edu.my
Expertise: Freshwater Ecology, freshwater taxonomy, freshwater biological monitoring, Environmental Impact Assessment (EIA)
PhD (East Anglia)
✉️ talib@ukm.edu.my
Expertise: Air quality, atmospheric aeosols, surface ozone, volatile organic compounds

PhD (USMalaysia)
✉️azharhalim@ukm.edu.my
Expertise:
Water and Wastewater Treatment, Water Quality, Environmental Chemistry, Environmental Analytical Chemistry.
PhD (UKMalaysia)
✉️ juneng@ukm.edu.my
Expertise: Climate and Ocean Modeling, Climate Change Projection and Downscaling, Atmospheric Sciences, Numerical Weather Prediction

PhD (UMalaya)
✉️ shahrulnadzir@ukm.edu.my
Expertise: Environmental Science, Atmospheric Science, Sensors

PhD (Hokkaido)
✉️matt@ukm.edu.my
Expertise:
Remote Sensing And Environmental GIS, Soil Erosion Prediction, Wildlife Habitat Suitability Predictions, River Plume Diversity

PhD (UKMalaysia)
✉️mardiana@ukm.edu.my
Expertise: Environmental Analytical Chemistry, Environmental Modelling, Plant Allelopathy

PhD (Edith Cowan Uni. Australia)
✉️mdrozaimI@ukm.edu.my
Expertise: Seagrass Biology and Ecology, Blue carbon, Sediment Biogeochemistry

PhD (Aberdeen)
✉️nuraqilah@ukm.edu.my
Expertise:
BIOLOGY, PLANT SCIENCE, MYCOLOGY FOREST ECOLOGY, ENVIRONMENTAL SCIENCE
PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (UKMalaysia)
✉️ nurulain@ukm.edu.my
Expertise: Solid Waste Management
PhD (UKMalaysia)
✉️ kaybadri@ukm.edu.my
Expertise: Polymer & Polymer Composites, Polyurethane, Natural Rubber Latex, Bioresource Technology, Chemistry Outreach

Microbiology is the study of microorganisms, including bacteria, viruses, fungi, and protozoa. Microbiology research encompasses a wide range of topics, from the molecular and cellular biology of microorganisms to the interactions between microorganisms and their hosts, the environment, and other microorganisms. Some of the major areas of focus in microbiology research include microbial genetics, pathogenesis, microbial ecology, and biotechnology. The findings from microbiology research have many practical applications, such as in medicine, agriculture, environmental science, and biotechnology. Microbiology research is important for understanding the fundamental processes that govern life, and for addressing many of the challenges facing society today, such as developing new antimicrobial therapies, improving food safety, and advancing biotechnology for sustainable production of food, fuel, and other products. The scope of microbiology research continues to expand as new technologies and applications are developed, making it a dynamic and exciting field.
PhD (Hull)
✉️aidilah@ukm.my
Expertise: Microbial Physiology/ Microbial Biochemistry/ Fermentation Technology
PhD (Univ. Of East Anglia)
✉️ vani@ukm.edu.my
Expertise: Plant Microbe Interaction, Plant Biotic And Abiotic Stresses, Soil Microbial Remediation

PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (Warwick)
✉️ nazlina@ukm.edu.my
Expertise: Molecular Virology, Toxicology, Antimicrobial Activity, Immunology, DNA Recombinant Technology

PhD (Dublin)
✉️syaidatul@ukm.edu.my
Expertise:
Environmental Microbiology, Bioremediation, Environmental Biotechnology

PhD (University of Edinburgh)
✉️airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (Univ. of Liverpool, UK)
✉️ ibb@ukm.edu.my
Expertise: Fungal Biology, Microbial Genomics, Plant Pathogens, Biological Control, Antarctic Microbes

PhD (Dublin)
✉️izzy@ukm.edu.my
Expertise:
Protein Biochemistry, Enzymology

PhD (UKMalaysia / University of Otago PG Visiting Fellow, NZ)
✉️ jasper.james@ukm.edu.my
Expertise:Molecular Mycology, Antifungal Drug Resistance Mechanisms, Drug-efflux Pump Proteins, Yeast Genetic Engineering, Transcriptomics

PhD (Univ. of Alicante, Valencia, Spain.)
✉️ johari_j@ukm.edu.my
Expertise: Insect Pest Management, Biological Control, Insect Pathogens, Bioacoustics

PhD (Shandong University of Technology, China)
✉️yusufnazir@ukm.edu.my
Expertise:
Microbial Biotechnology, Fermentation and bioprocess technology, Food Microbiology and Biotechnology

PhD (UKMalaysia)
✉️mohdasifsukri@ukm.edu.my
Expertise: Antibiotic Resistance In Bacteria, Pathogenesis Of Bacteria, Virus Genomics, And Emerging Infectious Disease

PhD (Sydney)
✉️fareed@ukm.edu.my
Expertise: Applied Microbiology, Bioprospecting, Machine learning application, Antimicrobial peptide

PhD (Kyushu Institute of Tech.)
✉️nazlinayasin@ukm.edu.my
Expertise: Environmental Biotechnology, Bioprocess Technology, Biorefinery, Renewable Energy

PhD (Aberdeen)
✉️nuraqilah@ukm.edu.my
Expertise:
BIOLOGY, PLANT SCIENCE, MYCOLOGY FOREST ECOLOGY, ENVIRONMENTAL SCIENCE
PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (The University of Manchester, United Kingdom)
✉️njamar@ukm.edu.my
Expertise:
Applied Microbiology, Food Toxicology
PhD (Reading)
✉️nurulaqilah@ukm.edu.my
Expertise:
Food Microbiology, Food Bioprocess, Fermentation Technology, Purification Technology, Reutilisation of Food Waste

PhD (UKMalaysia)
✉️sylvia@ukm.edu.my
Expertise: Microbial genomics, Infectious disease, Microbial leaching, Host-pathogen interaction, Diagnosis biomarker

Actuarial science is a discipline that uses mathematical and statistical methods to assess risk in the financial and insurance industries. Actuarial science uses the probability and statistics to define, analyze, and solve the financial impacts of uncertain future events. Life insurance and pension plans are the two main applications of actuarial science. In addition, actuarial science is also applied in the study of financial organizations to analyze their liabilities and improve financial decision making.
PhD (UKMalaysia)
✉️ni@ukm.edu.my
Expertise:
Actuarial Modelling, Risk Modelling, Applied Statistics, Non-Life Insurance, Regression

PhD (New Orlands)
✉️munira@ukm.edu.my
Expertise:Financial Economics, Mathematical Finance, Quantitative Finance, Financial Modelling

PhD (Salford)
✉️ humaida@ukm.edu.my
Expertise: Risk Management, Insurance, Mortality Analysis, Survival Analysis
PhD (Nebraska, USA)
✉️ nurfiryal@ukm.edu.my
Expertise: Text Mining, Data Analytics, Financial Studies

PhD (UKMalaysia)
✉️rrmt@ukm.edu.my
Expertise: Actuarial Modelling, Statistical Modelling

PhD (Univ. of Connicticut, USA)
✉️ itaramli@ukm.edu.my
Expertise: Mortality Models, Actuarial Reserves, Contingency Models, Application of Financial Mathematics, Stochastic Models

PhD (Royal Melbourne Inst. Of Technology,
Australia)
✉️ sih@ukm.edu.my
Expertise: Financial Modeling, Risk Modeling, Applied Statistics, Machine Learning, Deep Learning
PhD (Macquarie)
✉️ rafidah@ukm.edu.my
Expertise: Kewangan Kuantitatif

Botany, also known as plant biology, is a branch of biology that studies plants and their structure, function, growth, and evolution. Botany research encompasses a wide range of topics, from molecular and cellular biology to ecology and evolution, and includes both basic and applied research. Some of the major areas of focus in botany research include plant physiology, plant genetics and genomics, plant ecology, plant systematics, and plant biotechnology. The findings from botany research have practical applications in fields such as agriculture, forestry, horticulture, pharmacology, and environmental conservation. Botany research is important for understanding and addressing some of the most pressing global challenges, such as climate change, food security, and biodiversity loss, making it a vital and exciting field of study.
PhD (University Of Reading)
✉️ ntalip@ukm.edu.my
Expertise: Plant Anatomy, Plant Micromorphology, Plant Palynology, Plant Systematic, Plant Taxonomy

PhD (Univ. Of Edinburgh)
✉️ deen@ukm.edu.my
Expertise: Biodiversity, Flora, Fern Taxonomy, Molecule Systematic

PhD (University of Edinburgh)
✉️airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (University of Liège, Belgium)
✉️riena@ukm.edu.my
Expertise:
Botany, Plant Systematics, Plant Taxonomy, Bryology, Biodiversity

PhD (University Of Aberdeen)
✉️ nuraqilah@ukm.edu.my
Expertise: Forest Ecology, Plant Ecology, Mycology, Environmental Assessment, Climate Change

PhD (UKMalaysia)
✉️aliahkhaduwi@ukm.edu.my
Expertise:
Pteridology, Plant Systematics
PhD (UKMalaysia)
✉️ syazwani.basir@ukm.edu.my
Expertise: Palynology, Plant Functional Anatomy, Phytochemistry, Histology

PhD (UKMalaysia)
✉️ shamsulk@ukm.edu.my
Expertise: Botany, Plant diversity and Taxonomy of Spermatophytes

Chemistry is a central science that bridges the gap between physics and biology. Chemists study the structure of molecules, the properties of different elements, the behaviour of chemical reactions, and the ways that chemicals can be used to create new materials, fuels, medicines, and more. They use a variety of tools and techniques to study these topics, including spectroscopy, chromatography, and other analytical methods. There are many subjects that are related to chemistry, including biochemistry, organic chemistry, inorganic chemistry, physical chemistry, analytical chemistry, physical chemistry, catalysis, environmental chemistry, materials chemistry and polymer chemistry
PhD (UMIST)
✉️ gading@ukm.edu.myy
Expertise: Polymer blends and composites, Biopolymers, Nanocomposites
PhD (Durham), AMIC
✉️ rusli.daik@ukm.edu.my
Expertise: Polymer Synthesis, Electroactive Polymer, Biosynthetic Polymer, Nano-structured Polymer, Magnetic Polymer

PhD (UMIST)
✉️ szakaria@ukm.edu.my
Expertise: i) Pulp Paper and Functional Polysaccharides Technology, ii) Regeneration and Derivatives of Cellulose; iii) Biodegradable and Dissolvable Polymer; iv) Bio-Fuel and Bio-Refinery (liquefaction and Solvolysis) v) Absorption Materials
PhD (UKMalaysia)
✉️ darfizzi@ukm.edu.my
Expertise: Oleochemistry, Catalysis for Bioenergy, Advanced Biofuels, Mesoporous Silica, Hazard & Risk Management
PhD (Uni. of Strathclyde, Glasgow)
✉️ jalifah@ukm.edu.myy
Expertise: Organic Chemistry, Natural Products Chemistry, Metabolomics, Instrumentation Analyses (Small Molecules Structure Elucidation and Characterisation)

PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Technology, Biomaterial, Chemical Engineering

PhD (Sheffield University)
✉️ aishah80@ukm.edu.my
Expertise: Organic synthesis, analytical chemistry, sensors and biosensors, computational chemistry, theoretical chemistry

PhD (UKMalaysia)
✉️ sharina@ukm.edu.my
Expertise: Electrochemical Biosensor, Polymer Modification, Photopolymerization, Water Analysis, Electroanalysis

PhD (Bristol)
✉️ sitifairus@ukm.edu.my
Expertise: Coordination Chemistry, Polymer Chemistry, Chemical Synthesis, Natural Rubber Modification
PhD (UKMalaysia)
✉️tiankhoon@ukm.edu.my
Expertise: Energy Storage ( Li, Na, Al, S - Ion Batteries) , Natural Rubber , Nano-composite Polymer Electrolyte, Nano Materials

PhD (UKMalaysia)
✉️ mazuwa@ukm.edu.my
Expertise: Photocatalysis, Photoelectrocatalysis,
Electrocatalysis/Catalysis,
Biomimetic Materials,
Functional Catalytic Membrane,
Functional Cellulose

PhD (Aarhus University)Denmark
✉️ fir_my@ukm.edu.my
Expertise: Lipid Modification, Biodiesel And Biofuel Chemistry, Edible And Non-Edible Oil Modification For Consumer's Product

PhD (Trinity College Dublin)
✉️ muntaz@ukm.edu.my
Expertise: Chemistry, Organic Synthesis (Porphyrin), Natural Product Chemistry

PhD (UKMalaysia)
✉️nadhratunnaiim@ukm.edu.my
Expertise:
Functional Biopolymer, Energy Conversion & Energy storage, Membrane for Water Treatment, Computational Simulation
PhD (UMalaya)
✉️nurul.asikin@ukm.edu.my
Expertise:
Catalyst, Renewable Energy, Nanotechnology, Biomass Conversion

PhD (UKMalaysia)
✉️ nfaizah@ukm.edu.my
Expertise: Analytical Chemistry
PhD (Imperial College London, UK)
✉️ nurulhuda@ukm.edu.my
Expertise: Inorganic Synthesis, Sensors/Biosensors, Medicinal Inorganic Chemistry

PhD (UTMalaysia)
✉️ lpteh@ukm.edu.my
Expertise: Advanced Materials, CO2 Capture and Conversion, Heterogeneous Solid Acid-Base Catalysis, Water treatment

Genome science is the study of entire genomes, which are the complete sets of genetic material present in an organism. Genome science research encompasses a wide range of topics, from genome sequencing and analysis to the functional characterization of genes and their interactions. Some of the major areas of focus in genome science research include comparative genomics, gene regulation, epigenetics, metagenomics, and synthetic biology. The findings from genome science research have numerous practical applications, such as in medicine, agriculture, biotechnology, and environmental science. Genome science research is important for understanding the organization and function of genetic information in living organisms, and for developing new tools and technologies to manipulate and engineer genomes for a variety of applications. As genome sequencing technologies continue to improve and become more accessible, the scope of genome science research is rapidly expanding, making it a dynamic and exciting field.
PhD (Cambridge)
✉️klwan@ukm.edu.my
Expertise:
Parasite Genomics, Plant Genomics, Molecular Parasitology, Plant Molecular Biology

PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (UKMalaysia)
✉️sylvia@ukm.edu.my
Expertise: Microbial genomics, Infectious disease, Microbial leaching, Host-pathogen interaction, Diagnosis biomarker

Genetics is the study of genes, heredity, and genetic variation in living organisms. Genetics research encompasses a wide range of topics, from molecular genetics to population genetics, and includes both basic and applied research. Some of the major areas of focus in genetics research include gene expression, regulation, and editing, genome sequencing and analysis, epigenetics, genetic disorders, and the genetics of complex traits and diseases. The findings from genetics research have numerous practical applications, such as in medicine, agriculture, forensic science, and biotechnology. Genetics research is important for understanding the fundamental mechanisms that govern life, and for addressing many of the challenges facing society today, such as developing new treatments for genetic diseases, improving crop yields, and identifying genetic factors that contribute to human health and disease.
PhD (UKMalaysia)
✉️ abgbadd@ukm.edu.my
Expertise: Aquaculture, Functional Food, Microbiology

PhD (University Of Reading)
✉️ ntalip@ukm.edu.my
Expertise: Plant Taxonomy, Plant Systematic, Plant Anatomy, Plant Micromorphology, Plant Palynology

PhD (UMIST)
✉️hisham@ukm.edu.my
Expertise:
Stem cell, Cytotechnology, Biomarker, Human Genetics
PhD (Univ. of Liverpool, UK)
✉️ ibb@ukm.edu.my
Expertise: Fungal Biology, Microbial Genomics, Plant Pathogens, Biological Control, Antarctic Microbes

PhD (UKMalaysia / University of Otago PG Visiting Fellow, NZ)
✉️ jasper.james@ukm.edu.my
Expertise:Molecular Mycology, Antifungal Drug Resistance Mechanisms, Drug-efflux Pump Proteins, Yeast Genetic Engineering, Transcriptomics

PhD (UKMalaysia)
✉️ikmal.asmuni@ukm.edu.my
Expertise:
Plant Genomics, Plant Breeding, Plant Physiology, Agronomy

PhD (UPMalaysia)
✉️ nora_aziz@ukm.edu.my
Expertise: Plant Breeding (Conventional, Molecular & Mutational Breeding), Genetics, Agronomy, Agricultural Sciences

PhD (ETH Zurich)
✉️ n_farhan@ukm.edu.my
Expertise: Bioinformatics, population genomics, comparative genomics, evolutionary genomics

PhD (UPMalaysia)
✉️ nora_aziz@ukm.edu.my
Expertise: Plant Breeding (Conventional, Molecular & Mutational Breeding), Genetics, Agronomy, Agricultural Sciences

Mathematics is the abstract science of number, quantity, and space, either as abstract concepts (pure mathematics), or as applied to other disciplines such as physics and engineering (applied mathematics). Major subdisciplines in pure mathematics include number theory, algebra, geometry, and analysis. Pure mathematics courses are heavily proof-based and deal with theoretical possibilities of mathematics. On the other hand, applied mathematics is used in practical applications in day-to-day life.
PhD (Glasgow)
✉️ ghafur@ukm.edu.my
Expertise: Combinatorial Algebra, Fuzzy Sets and Generalisations
PhD (UKMalaysia)
✉️ni@ukm.edu.my
Expertise: Actuarial Modelling, Risk Modelling, Applied Statistics, Non-life Insurance, Regression

PhD (UMalaya)
✉️ asr@ukm.edu.my
Expertise: Biomechanics, Modelling, Sports & Performance, Machine Learning, Applied Mathematics

PhD (UMalaya)
✉️anuaralias@ukm.edu.my
Expertise: General Relativity, Braneworld, Wormhole, Geometrodynamics, Cosmology

PhD (UKMalaysia)
✉️ anuar_mi@ukm.edu.my
Expertise: Applied Mathematics, Fluid Mechanics

PhD (USMalaysia)
✉️maslina@ukm.edu.my
Expertise: Complex Analysis, Geometric Function Theory, Univalent Functions

PhD (USMalaysia)
✉️esbi@ukm.edu.my
Expertise: Mathematical Cryptography, Number Theory

PhD (UKMalaysia)
✉️ ishak_h@ukm.edu.my
Expertise: Fluid Mechanics, CFD, Instability, Numerical Methods

PhD (UTMalaysia)
✉️ rmn@ukm.edu.my
Expertise: Fluid Dynamics, Heat Transfer, Mathematical Modelling

PhD (Imperial)
✉️fatima84@ukm.edu.my
Expertise: Network Analysis, Complex Systems, Topological Data Analysis

PhD (Monash)
✉️mohdalmie@ukm.edu.my
Expertise:
Numerical PDEs, level set method, mathematical biology, reaction-diffusion equations, topological data analysis.
PhD (University of Oxford)
✉️msyajoh@ukm.edu.my
Expertise: Differential geometry, geometric flows, Lie groups, partial differential equations
PhD (Sydney)
✉️ sakhinah@ukm.edu.my
Expertise: Network Science, Machine Learning Algorithms, Computational Mathematics, Applied Mathematics

PhD (Birmingham)
✉️syahida@ukm.edu.myy
Expertise: Topological Dynamics

Physics is a field of science that studies the properties, motion, behaviour, force and energy of matter. Physics uncovers the hidden laws that govern and explain the orderliness of the universe, from the behaviour of particles to the life cycle of stars scattered in our night sky.
PhD (UKMalaysia)
✉️mardiana@ukm.edu.my
Expertise: Environmental Analytical Chemistry, Environmental Modelling, Plant Allelopathy

PhD (Aarhus University)Denmark
✉️ fir_my@ukm.edu.my
Expertise: Lipid Modification, Biodiesel And Biofuel Chemistry, Edible And Non-Edible Oil Modification For Consumer's Product

PhD (Reading)
✉️ntalip@ukm.edu.my
Expertise:
Plant Anatomy, Plant Micromorphology, Plant Palinology, Plant Taxonomy, Plant Systematic

PhD (Arkansas, US)
✉️ ras@ukm.edu.my
Expertise: High Temperature superconductors

PhD (UMalaya)
✉️rozida@ukm.edu.my
Expertise:
Plasma thin film technology optics
PhD (UKMalaysia)
✉️ ccyap@ukm.edu.my
Expertise: Organic photovoltaic

Nutrition is the study of the role of nutrients in food (macronutrients, micronutrients, water and bioactive substances) and its influence on the health and well-being of an individual throughout their lifespan. It is a multidisciplinary field that integrates scientific disciplines including biochemistry, molecular biology, genetics and social science. It studies the physiological and biochemical processes involved in providing nutrients to the human body. At the same time, humans react on foods by sensing, digesting, metabolising and storing the nutrients as it is transformed into energy or converted into body tissues. The important part of nutrition is also to study the relationship between diet, health and disease. Imbalance of diet or malnutrition could lead to the development of chronic disease. Conversely, right dietary choices could also prevent the risk of disease. Additionally, nutrition also looks into the behaviours and social factors to understand the socio-cultural, physiology, economic and politics that could influence food choice and health status. All in all, nutrition is a diverse applied science from the study of biochemical pathways and relationship with genetics, observing population intake, to designing and performing interventions to improve nutritional status of community. On the organisational level (both national and international), nutrition programs and policies are also developed to ensure accessibility toward healthy, safety and nutritious food are within the reach of the community.
PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Technology, Biomaterial, Chemical Engineering

PhD (The Univ of Adelaide)
✉️arnida@ukm.edu.my
Expertise: Nutrition, Nutritional Toxicology and Biochemistry

PhD (UPMalaysia)
✉️ hafeedzarahman@ukm.edu.my
Expertise: Functional Food, Natural Products, Metabolomics

PhD (Imperial College)
✉️ norlida.daud@ukm.edu.my
Expertise: Community Nutrition, Nutritional Biochemistry

PhD (Queensland)
✉️ zalifah.kasim@ukm.edu.my
Expertise: Sensory Evaluation, Glycemic Index, Satiety and Satiation, Community Nutrition, Food Analysis

Zoology is the branch of biology that studies the animal kingdom, including the structure, embryology, evolution, classification, habits, and distribution of all animals, both living and extinct, and how they interact with their ecosystems
PhD (Loughborough)
✉️abas@ukm.edu.my
Expertise: Freshwater Ecology, freshwater taxonomy, freshwater biological monitoring, Environmental Impact Assessment (EIA)
PhD (UKMalaysia)
✉️ norhayatiahmad@ukm.edu.my
Expertise: Vertebrate Zoology and Ecology, Biodiversity, Conservation Biology, Herpetology, Biological Heritage

PhD (UKMalaysia)
✉️farah_sh@ukm.edu.my
Expertise: Vertebrate Ecology, Parasitology, Zoonosis, Conservation Biology

PhD (USMalaysia)
✉️ slwee@ukm.edu.my
Expertise: Insect Behaviour, Plant-Insect Interaction, Insect Pest Management, Diptera Diversity (Tephritidae & Calliphoridae)

PhD (Univ. of Alicante, Valencia, Spain.)
✉️ johari_j@ukm.edu.my
Expertise: Insect Pest Management, Biological Control, Insect Pathogens, Bioacoustics

PhD (Texas Tech Uni USA)
✉️ julianas@ukm.edu.my
Expertise: Conservation biology, Biomechanics, Chiropterologist
PhD (UMalaya)
✉️ msaifulmansor@ukm.edu.my
Expertise: Vertebrate Ecology and Evolution, Molecular Ecology, Wildlife Management
PhD (UKMalaysia)
✉️ linda_md@ukm.edu.my
Expertise: Ethology, Animal Histology & Physiology

PhD (Australian National Univ. Canbera)
✉️ wahida@ukm.edu.my
Expertise: Insect Physiology and Biochemistry, Insect Histology and ultrastructure, Insect Toxicology

PhD (UKMalaysia)
✉️ abgbadd@ukm.edu.my
Expertise: Aquaculture, Functional Food, Microbiology

Geology involving structural geology, geophysics, engineering geology, and environmental geology. Research in geology focuses on the stratigraphy, diagenesis, and sedimentology of both contemporary and historical carbonate systems. The research specification focuses on geo-related hazards such as landslides and floods, tectonic-induced hazards such as earthquakes and liquefaction, as well as ground and underground issues such as contaminations, pollutions, and settlements. It also specialises in determining the structure of the upper mantle and crust by using a variety of imaging techniques. Environmental geochemistry, hydrogeology, and environmental remediation are all active research areas

PhD (Leeds)
✉️ haqqim@ukm.edu.my
Expertise: Mineral Engineering, Industrial Mineral,
Geochemistry , Mineralogy

PhD (UKMalaysia)
✉️ bib@ukm.edu.my
Expertise: Geochemistry, Quaternary Geology,
Petroleum Geology


PhD (UKMalaysia)
✉️ hariri@ukm.edu.my
Expertise: Enviromental Geophysics, Engineering Geophysics, Geothermal Exploration, Groundwater


PhD (Cardiff)
✉️yaacobzw@ukm.edu.my
Expertise:
Environmental Geology, Contaminant hydrogeology, Engineering Geology, Soil Contamination


PhD (UKMalaysia)
✉️gohthianlai@ukm.edu.my
Expertise:
Engineering Geology, geohazards, slope stability assessment, mitigation and geomechanics


PhD (UMalaya)
✉️umor@ukm.edu.my
Expertise: Igneous Petrology, Mineralogy, Geochemistry, Dam Safety Inspection, economic mineral exploration


PhD (USMalaysia)
✉️taqiuddin@ukm.edu.my
Expertise:
Near-surface geophysics;
Exploration geophysics


PhD (Leeds)
✉️norasiahs@ukm.edu.my
Expertise:
Structural Geology, Tectonics, Geohazards, Seismic Interpretation, Geological Mapping.


PhD (Birmingham)
✉️ finalan@ukm.edu.my
Expertise: Urban hydrogeology, groundwater modelling, engineering geology


PhD (Univ. of Stratclyde, Glasgow)
✉️shahidahnazer@ukm.edu.my
Expertise:
Engineering geology, soil mechanics,
geomorphology, problematic soils, geodisasters


PhD (UKMalaysia)
✉️ nurulafifah@ukm.edu.my
Expertise: Sedimentology, Stratigraphy,
Petroleum Geology.


PhD (University of Liverpool, United Kingdom)
✉️ surayahazim@ukm.edu.my
Expertise: Igneous Petrology, Metamorphic Petrology,
Volcanic Intrusions, Analogue Modelling, Image Analysis

Biochemistry is a broad field of study that explores the chemical processes and interactions that occur within living organisms. Biochemistry research focuses on topics such as the structure and function of biomolecules, metabolic pathways, genetics and gene expression, and the mechanisms of cellular signaling and communication. This research has applications in fields such as medicine, agriculture, biotechnology, and environmental science, and it plays a critical role in understanding and improving human health and the natural world around us.
PhD (Sheffield)
✉️m.firdaus@ukm.edu.my
Expertise: Bioinformatics, Molecular Biophysics, Computational Structural Biology

PhD (UMIST)
✉️hisham@ukm.edu.my
Expertise:
Stem cell, Cytotechnology, Biomarker, Human Genetics
PhD (Aberdeen)
✉️munir@ukm.edu.my
Expertise:
Microbial Biotechnology, Applied Microbiology, Molecular Mycology, Plant-Microbe Interactions

PhD (Queensland)
✉️shazrul@ukm.edu.my
Expertise: Food Biotechnology, Functional Food, Biochemistry, Molecular Biology

PhD (Warwick)
✉️ nazlina@ukm.edu.my
Expertise: Molecular Virology, Toxicology, Antimicrobial Activity, Immunology, DNA Recombinant Technology

PhD (Southampton)
✉️roohaida@ukm.edu.my
Expertise: Plant Biochemistry, Plant Molecular Biology, Plant Functional Genomics, Algal Molecular Biology

PhD (University of Edinburgh)
✉️airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (UKMalaysia)
✉️farizajuliana@ukm.edu.my
Expertise:
Cancer mechanistic study, cancer drug discovery

PhD (University of London)
✉️dorisquay@ukm.edu.my
Expertise: Structural Biology (X-ray Crystallography), Molecular Biology, Computational Molecular Biology, Biotechnology, Biochemistry

PhD (Dublin)
✉️izzy@ukm.edu.my
Expertise:
Protein Biochemistry, Enzymology

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (Shandong University of Technology)
✉️yusufnazir@ukm.edu.my
Expertise: Microbial Biotechnology, Fermentation and bioprocess technology, Food Microbiology and Biotechnology

PhD (UPMalaysia)
✉️rohaizad@ukm.edu.my
Expertise:
"Pharmacology & Toxicology, Cancer biology, Natural products
"
PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (UKMalaysia)
✉️shazilah@ukm.edu.my
Expertise: Enzyme Technology, Molecular Biology, Protein Engineering, Structural Biology

PhD (UMalaya)
✉️ shevin@ukm.edu.my
Expertise: Biomolecular Interactions, Protein Biochemistry

PhD (UKMalaysia)
✉️sylvia@ukm.edu.my
Expertise: Microbial genomics, Infectious disease, Microbial leaching, Host-pathogen interaction, Diagnosis biomarker

Marine science programme encompasses studies of the ocean’s physical characteristics and its resources, both living and non-living. The programme covers almost the entire sub-fields of the marine domain such as biology, physiology, ecology, diversity, and taxonomy of marine organisms (fishes, invertebrates, bacterioplankton, phytoplankton) and plants (seagrass, seaweed, macroalgae), marine biotechnology, marine chemistry, marine geology, marine remote sensing and GIS. Physical disciplines such as oceanography, marine meteorology, ocean climate are also covered in the programme.
PhD (UKMalaysia)
✉️abarahim@ukm.edu.my
Expertise:
Taxonomy, Species Diversity, Systematics, Marine Invertebrate Biology, Biodiversity Assessment

PhD (UKMalaysia)
✉️ juneng@ukm.edu.my
Expertise: Climate and Ocean Modeling, Climate Change Projection and Downscaling, Atmospheric Sciences, Numerical Weather Prediction

PhD (Hokkaido)
✉️ muzz@ukm.edu.my
Expertise: Marine Remote Sensing and GIS, Oceancolour, Marine resource management

PhD (UKMalaysia)
✉️ ester@ukm.edu.my
Expertise: Meterology, climate annual variability, Climate Modelling, Atmospheric science.

PhD (Edith Cowan Uni. Australia)
✉️mdrozaimi@ukm.edu.my
Expertise: Seagrass Biology and Ecology, Blue carbon, Sediment Biogeochemistry

PhD (University of Manchester, UK)
✉️ syafiqmusa@ukm.edu.my
Expertise: Marine Biology, Fish Eco-physiology, Microplastic, Climate Change, Shark Conservation

PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (UKMalaysia)
✉️suriyanti@ukm.edu.my
Expertise:
Molecular Taxonomy, Diatom ecology, eDNA, Phycoremediation, harmful algae
PhD (University of Wales, Bangor)
✉️
masni@ukm.edu.my
Expertise:
Environmental Forensics, Marine Biogeochemistry, Marine Pollution
The field of Animal Sciences encompasses core disciplines related to animal production which include anatomy, physiology, nutrition, reproduction, meat and dairy sciences, biotechnology, microbiology, agrostology and biochemistry. It also includes the study of farm animals as well as recreational animals and captive wildlife.
PhD (University of Reading)
✉️cychoong@ukm.edu.my
Expertise: Odonatology, Biodiversity, Taxonomy, Molecular Systematics, Entomology

PhD (Australian National University, Canberra)
✉️ wahida@ukm.edu.my
Expertise: Insect Physiology and Biochemistry, Insect Histology and Ultrastructure, Insect Toxicology,

PhD (UK Malaysia)
✉️farah_sh@ukm.edu.my
Expertise:
Vertebrate Ecology, Parasitology, Zoonosis, Conservation Biology

PhD (Universiti Of Alicante, Valencia, Spain)
✉️johari_j@ukm.edu.my
Expertise: Insect Pest Management, Biological Control, Insect Pathogens, Bioacoustics,

PhD (University of Manchester, UK)
✉️ syafiqmusa@ukm.edu.my
Expertise: Marine Biology, Fish Eco-physiology, Microplastic, Climate Change, Shark Conservation

PhD (Universiti Kebangsaan Malaysia)
✉️ linda_md@ukm.edu.my
Expertise: Ethology, Animal Histology & Physiology

PhD (UKMalaysia)
✉️ ng_yf@ukm.edu.my
Expertise: Ekologi dan taksonomi serangga thrips (order Thysanoptera) dan pepatung (order Odonata)

PhD (Universiti Sains Malaysia)
✉️slwee@ukm.edu.my
Expertise:
Insect Behaviour, Plant-Insect Interaction, Insect Pest Management, Diptera Diversity (Tephritidae & Calliphoridae)

PhD (Texas Tech Uni USA)
✉️ julianas@ukm.edu.my
Expertise: Conservation biology, Biomechanics, Chiropterologist
Nuclear science fields cover the topics on changes and reactions at the nucleus level of the element; the origin and sources of various natural and man-made radiations; the effects on matter, environment and living organisms; safety aspects; law and regulations involving the usage of the nuclear technology for the benefits of mankind. Besides those areas, nuclear security and safeguard were also being part of the areas that can be studied due to global concern around the world. The discipline also integrates the knowledge from past, current and future applications of the nuclear technology in Malaysia and worldwide such as in medical, manufacturing, power generation, food and agriculture, non-destructive tests, environmental research, and consumer products.
PhD (Exeter)
✉️faizalm@ukm.edu.my
Expertise: Radiation Biophysics & Nuclear Safety
PhD (UKMalaysia)
✉️ khoo@ukm.edu.my
Expertise: Radiochemistry, Neutron Activation Analysis, Radiological Impact Assessment, Reactor Physics, Nuclear Physics

PhD (KAIST)
✉️aznan@ukm.edu.my
Expertise: Thorium and Uranium Extraction, Radiological Impact Assessment, Separation Technology, Environmental Radioactivity, Nuclear Engineering

PhD (Queensland)
✉️ syahidah@ukm.edu.my
Expertise: Radiation Chemistry

PhD (Cambridge)
✉️imranyusuff@ukm.edu.my
Expertise: Experimental High Energy Physics

PhD (Tokyo Institute of Technology)
✉️idzat@ukm.edu.my
Expertise: Nuclear Engineering, Nuclear Reactor, Nuclear Materials, Nuclear Ceramic, Radiation Environment

PhD (Royal Melbourne Institute of Technology,
Australia)
✉️ wnordiana@ukm.edu.my
Expertise: Medical Physics, Radiotherapy, Radiation Biology, Radiation Dosimetry, Nanomedicine

PhD (UTMalaysia)
✉️ ratna@ukm.edu.my
Expertise: Nuclear Physics, Medical Physics, Radiation Protection, Computed Tomography, Thermoluminescence

PhD (Pohang Univ. of Science and Technology)
✉️syazwanimf@ukm.edu.my
Expertise: Radioactive Waste Management, Waste Immobilization, Environmental Radioactivity, Environmental Monitoring, Radiation Safety

Statistics is an area of study that deals with the collection, organisation, classification, analysis, presentation, and interpretation of data to explain reality by scientific method. In other words, it is all about applying various methods to the raw data in order to make it more understandable. Statistics is considered as a mathematical science that works with the numerical data. It is used in many sectors such as in industry, society, and science.
PhD (UKMalaysia)
✉️ ni@ukm.edu.my
Expertise: Actuarial Modelling, Risk Modelling, Applied Statistics, Non-life Insurance, Regression

PhD (UKMalaysia)
✉️zaidiisa@ukm.edu.my
Expertise: Quantitative Risk Analytics, Risk Management, Econometric, Quantitative Financial Analysis
PhD (USMalaysia)
✉️ noramuda@ukm.edu.my
Expertise: Computational Biology, Statistical Modelling, Robust Statistics and Applied Statistics

PhD (UKMalaysia)
✉️ tqah@ukm.edu.my
Expertise: Data Analytics, Computational Statistics, Data Science, Data Visualization, Extreme Analysis

PhD (UKMalaysia)
✉️kamalmsn@ukm.edu.my
Expertise: Applied Statistical Modeling, Data Mining

PhD (UMalaya)
✉️ nrms@ukm.edu.my
Expertise: Performance and Innovation Analytics, Statistical Modeling and Analytics

PhD (UKMalaysia)
✉️ zw_zawiah@ukm.edu.my
Expertise: Statistical Modelling, Extreme Data Modelling, Engineering Statistics, Experimental Design

PhD (Cranfield)
✉️ zbhm@ukm.edu.my
Expertise: Quality Measurement Analysis, Industrial Statistics, Quality and Productivity Improvement

PhD (Macquarie, Sydney)
✉️zamira@ukm.edu.my
Expertise: Traffic Accidents Modelling, Bayesian Statistics, Multivariate Analysis, Business Analytics

PhD (UMalaya)
✉️bernardlkb@ukm.edu.my
Expertise:
Data science, applied statistics, cancer biology, computational biology
PhD (Adelaide)
✉️ aftar@ukm.edu.my
Expertise:
Time Series Analysis, Machine Learning

PhD (UKMalaysia)
✉️hilmi.majid@ukm.edu.my
Expertise:
Applied Statistics, Statistical Modelling, Statistical Learning.
PhD (UMalaya)
✉️norhamizah@ukm.edu.my
Expertise:
Time Series Analysis, Data Science, Machine Learning, Unstructured Data Analytics
PhD (Nebraska, USA)
✉️nurfiryal@ukm.edu.my
Expertise: Text Mining, Data Analytics, Financial Studies

PhD (UKMalaysia)
✉️rrmt@ukm.edu.my
Expertise:
Actuarial Modelling, Statistical Modelling
PhD (Univ. of Connicticut, USA)
✉️ itaramli@ukm.edu.my
Expertise: Mortality Models, Actuarial Reserves, Contingency Models, Application of Financial Mathematics, Stochastic Models

PhD (Arkansas, US)
✉️ sih@ukm.edu.my
Expertise: Financial Modeling, Risk Modeling, Applied Statistics, Machine Learning, Deep Learning

MSc (UPMalaysia)
✉️ rofizah@ukm.edu.my
Expertise: Multivariate Bayesian Modelling
MSc (UMalaya)
✉️ nurul.afiqah@ukm.edu.my
Expertise: Bayesian Modelling, Statistical Machine Learning

Bioinformatics is a discipline that integrates the computational sciences and information technology to solve problems in biosciences and biotechnology requiring computational and information science solutions. Bioinformatics enables the development of algorithms or software that allow the analysis and interpretation of big data in molecular biology. The focus of such data analysis is primarily limited to the scope of molecular biology data, specifically, the analysis of sequence and macromolecular structures to gain insights and discoveries in the post genomics era in addition to applied research and development in genetics, vaccinology, enzyme technology and drug discovery that are directed at improving the quality of human health and economic progress.
PhD (Sheffield)
✉️m.firdausmazuwa@ukm.edu.my
Expertise: Bioinformatics, Molecular Biophysics, Computational Structural Biology

PhD (Cambridge)
✉️ klwan@ukm.edu.my
Expertise: Parasite Genomics, Plant Genomics, Molecular Parasitology, Plant Molecular Biology

PhD (Edinburgh)
✉️zeti.hussein@ukm.edu.my
Expertise:
Computational Systems Biology, Network Biology, Omics Data Integration, Protein Bioinformatics

PhD (UMalaya)
✉️bernardlkb@ukm.edu.my
Expertise:
Data science, applied statistics, cancer biology, computational biology
PhD (University of London)
✉️ dorisquay@ukm.edu.my
Expertise: Structural Biology, Molecular Biology, Computational Molecular Biology

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (ETH Zurich)
✉️ n_farhan@ukm.edu.my
Expertise: Bioinformatics, population genomics, comparative genomics, evolutionary genomics

PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

Quality and Productivity Improvement addresses the challenges in quality and productivity issues required in public sector, manufacturing and services environments. The study covers the range from total management techniques and their philosophy to product quality improvement and services with more emphasis on the application of the statistical methods. The program is designed to impart knowledge using mathematical science methods as well as mathematical and statistical skills to improve the quality of goods and services.
PhD (UKMalaysia)
✉️zaidiisa@ukm.edu.my
Expertise: Quantitative Risk Analytics, Risk Management, Econometric, Quantitative Financial Analysis
PhD (Loughborough)
✉️wrismail@ukm.edu.my
Expertise: Timetabling, Route Scheduling, Analysis of Efficiency and Productivity
PhD (UMalaya)
✉️nrms@ukm.edu.my
Expertise: Performance and Innovation Analytics, Statistical Modeling and Analytics

PhD (Cranfield)
✉️ zbhm@ukm.edu.my
Expertise: Quality Measurement Analysis, Industrial Statistics, Quality and Productivity Improvement

Nanotechnology research course is typically designed for graduate students who want to gain hands-on experience in the field of nanotechnology research that covers the science and engineering of materials and systems at the nanoscale, and their applications in a wide range of fields. In a nanotechnology research course, students typically work individually on a research project under the supervision of a supervisor. The project could include designing and carrying out experiments, analysing data, and presenting findings at scientific meetings or in publications. Students may also have the opportunity to visit and interact with researchers at other institutions or research facilities, as well as attend seminars and workshops to learn about the most recent advances in nanotechnology research. The course can provide students with valuable career skills and experience in research and development in fields such as materials science, engineering, health science, and environmental science.
PhD (UMIST)
✉️ gading@ukm.edu.my
Expertise: Polymer blends and composites, Biopolymers, Nanocomposites
PhD (Sheffield)
✉️ m.firdaus@ukm.edu.my
Expertise: Bioinformatics, Molecular Biophysics, Computational Structural Biology
PhD (Durham)
✉️ rusli.daik@ukm.edu.my
Expertise: Polymer Synthesis, Electroactive Polymer, Biosynthetic Polymer, Nano-structured Polymer, Magnetic Polymer
PhD (UKMalaysia)
✉️ kaybadri@ukm.edu.my
Expertise: Functional Polymer, Applied Chemistry, Material Science and Engineering, Chemical processing and engineering, Industrial Chemistry
PhD (UKMalaysia)
✉️ darfizzi@ukm.edu.my
Expertise: Oleochemistry, Catalysis for Bioenergy, Advanced Biofuels, Mesoporous Silica, Hazard & Risk Management
PhD (Warwick)
✉️ baayah@ukm.edu.my
Expertise: Magnetic thin film, rare earth

PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Processing & Technology, Phytochemical Processing, Biomaterial

PhD (Cardiff)
✉️ yaacobzw@ukm.edu.my
Expertise: Environmental Geology, Contaminant hydrogeology, Engineering Geology, Soil Contamination

PhD (UMalaya)
✉️ fatinsaiha@ukm.edu.my
Expertise: Nanostructured materials, Electrochemical Applications

PhD (UKMalaysia)
✉️ tiankhoon@ukm.edu.my
Expertise: Energy Storage ( Li, Na, Al, S - Ion Batteries) , Natural Rubber , Nano-composite Polymer Electrolyte, Nano Materials
PhD (UKMalaysia)
✉️ mazuwa@ukm.edu.my
Expertise: Photocatalysis/Photoelectrocatalysis, Electrocatalysis/Catalysis, Biomimetic Materials, Functional Catalytic, Membrane Functional Cellulose

PhD (UKMalaysia)
✉️ asif@ukm.edu.my
Expertise: Nonlinear Optics, Plasmonics, Quantum Optics, Computational and Theoretical Physics, Biosensors

PhD (UiTM)
✉️ siddiqfadhil@ukm.edu.my
Expertise: Conductivity and Dielectric, Optical and Luminescence, Rare Earth doped Glass, Nanoparticles doped Glass

PhD (UKMalaysia)
✉️wanhafizi@ukm.edu.my
Expertise: 3D Printing, Bionanocomposite, Smart Materials, Celullose

PhD (Universiti Malaya)
✉️ nurul.asikin@ukm.edu.my
Expertise: Nano-Materials, Biomass Conversion Technology, Oleochemistry, Catalysis , Energy & Fuels

PhD (Kyoto Univ)
✉️ aisyah@ukm.edu.my
Expertise: Nanomaterials, Polymer (block or blend), Quantum dots materials, Supercapacitor
PhD (UTM)
✉️ lpteh@ukm.edu.my
Expertise: Advanced Materials, CO2 Capture and Conversion, Heterogeneous Solid Acid-Base Catalysis, Water treatment

PhD (Royal Melbourne Institute of Technology,
Australia)
✉️ wnordiana@ukm.edu.my
Expertise: Medical Physics, Radiotherapy, Radiation Biology, Radiation Dosimetry, Nanomedicine

PhD (UKMalaysia)
✉️ farahnadia@ukm.edu.my
Expertise: Pulp and Paper, Lignocellulosic Materials, Regenerated Cellulose, Nanomaterials, Biopolymer and Derivatives

PhD (UKMalaysia)
✉️ nafizah@ukm.edu.my
Expertise: Nanocomposites, Biodegradable Polymer, Polymer Blend, Lignocellulosic Modification
Data science is the study of raw data that includes data analysis, data mining and machine learning under one roof. The study of data science can help in finding meaningful patterns and insights from raw and unstructured data and is used to deal with big data which includes data cleaning, preparation and analysis. The program is designed to produce graduates who are knowledgeable and competent in data management as well as the technical aspects of data science.
PhD (UKMalaysia)
✉️zaidiisa@ukm.edu.my
Expertise: Quantitative Risk Analytics, Risk Management, Econometric, Quantitative Financial Analysis
PhD (UMalaya)
✉️asr@ukm.edu.my
Expertise:
Biomechanics, Modelling, Sports & Performance, Machine Learning, Applied Mathematics
PhD (Adelaide)
✉️ aftar@ukm.edu.my
Expertise: Time Series Analysis, Machine Learning

PhD (UMalaya)
✉️nrms@ukm.edu.my
Expertise:
Performance Analytics and Innovation, Statistical Modelling and Analytics
PhD (UKMalaysia)
✉️ kamalmsn@ukm.edu.my
Expertise: Applied Statistical Modeling, Data Mining
PhD (UKMalaysia)
✉️ tqah@ukm.edu.my
Expertise: Data Analytics, Computational Statistics, Data Science, Data Visualization, Extreme Analysis
PhD (Imperial)
✉️ fatima84@ukm.edu.my
Expertise: Network Analysis, Complex Systems, Topological Data Analysis

PhD (USMalaysia)
✉️noramuda@ukm.edu.my
Expertise:
Computational Biology, Statistical Modelling, Robust Statistics and Applied Statistics
PhD (Macquarie, Sydney)
✉️ zamira@ukm.edu.my
Expertise: Traffic accidents modelling, Bayesian statistics, Multivariate analysis, Business analytics
PhD (UMalaya)
✉️bernardlkb@ukm.edu.my
Expertise:
Data Science, Translational Bioinformatics, Systems Biology, Computational Immuno-Oncology, Precision Oncology
PhD (Monash)
✉️mohdalmie@ukm.edu.my
Expertise:
Numerical PDEs, level set method, mathematical biology, reaction-diffusion equations, topological data analysis.
PhD (Nebraska USA)
✉️ nurfiryal@ukm.edu.my
Expertise: Text Mining, Data Analytics, Financial Studies

PhD (UKMalaysia)
✉️hilmi.majid@ukm.edu.my
Expertise:
Applied Statistics, Statistical Modelling, Statistical Learning.
PhD (Padova)
✉️shoh@ukm.edu.my
Expertise:
High Energy Physics, Particle Physics, Data analysis, Nuclear and Atomic Physics, Plasma Physics
PhD (Royal Melbourne Inst. Of Technology,
Australia)
✉️sih@ukm.edu.my
Expertise: Financial Modeling, Risk Modeling, Applied Statistics, Machine Learning, Deep Learning
PhD (UPMalaysia)
✉️maimunahmma@ukm.edu.my
Expertise:
Agri-food Process Engineering, Postharvest, Image Processing, Food Engineering, Artificial Intelligence
PhD (UMalaya)
✉️norhamizah@ukm.edu.my
Expertise:
Time Series Analysis, Data Science, Machine Learning, Unstructured Data Analytics
PhD (Sydney)
✉️ sakhinah@ukm.edu.my
Expertise: Network Science, Machine Learning Algorithms, Computational Mathematics, Applied Mathematics.
Ssn (UMalaya)
✉️ nurul.afiqah@ukm.edu.my
Expertise: Bayesian Modelling, Statistical Machine Learning
This program of study are closely related to food production from the point of harvest or slaughter until it is marketed and reaches the consumer in conditions that satisfy the consumer’s requirements in terms of food safety and taste.
PhD (Georgia)
✉️ yusofm@ukm.edu.my
Expertise: Sustainable Food Production And Processing
PhD (Nottingham)
✉️wanaidawm@ukm.edu.my
Expertise:
Functional Food, Food Analysis, Food Chemistry
PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Technology, Biomaterial, Chemical Engineering

PhD (UKMalaysia)
✉️ joe@ukm.edu.my
Expertise: Functional food, food chemistry, food analysis

PhD (Queensland)
✉️ shazrul@ukm.edu.my
Expertise: Food Biotechnology, Functional Food, Biochemistry, Molecular Biology

PhD (NUI Cork)
✉️salma_my@ukm.edu.my
Expertise:
Protein-Based Product Technology, Meat Quality Processing and Evaluation, Food Sensory Evaluation

PhD (The Univ of Adelaide)
✉️arnida@ukm.edu.my
Expertise: Nutrition, Nutritional Toxicology and Biochemistry

PhD (Edinburgh)
✉️ airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (UPMalaysia)
✉️ hafeedzarahman@ukm.edu.my
Expertise: Functional Food, Natural Products, Metabolomics

PhD (UKMalaysia)
✉️haslaniza@ukm.edu.my
Expertise:
Food Processing, Food Safety, Halal Food

PhD (Aarhus University)Denmark
✉️ fir_my@ukm.edu.my
Expertise: Lipid Modification, Biodiesel And Biofuel Chemistry, Edible And Non-Edible Oil Modification For Consumer's Product

PhD (Shandong University of Technology, China)
✉️yusufnazir@ukm.edu.my
Expertise:
Microbial Biotechnology, Fermentation and bioprocess technology, Food Microbiology and Biotechnology

PhD (Queensland)
✉️ zalifah.kasim@ukm.edu.my
Expertise: Sensory Evaluation, Glycemic Index, Satiety and Satiation, Community Nutrition, Food Analysis

PhD (NUI Cork)
✉️ syuhada_ns@ukm.edu.my
Expertise: Functional Food, Food Packaging and Shelf Life

PhD (Massey University, New Zealand)
✉️ soffalina@ukm.edu.my
Expertise: Food Emulsion, Lipid Technology, Functional Food, Food Product Development
PhD (Reading)
✉️nurulaqilah@ukm.edu.my
Expertise:
Food Microbiology, Food Bioprocess, Fermentation Technology, Purification Technology, Reutilisation of Food Waste

PhD (UPMALAYSIA)
✉️nurfatimah@ukm.edu.my
Expertise:
Food Engineering, Thermal Processing, High-Pressure Processing, Biomass Conversion, Food Processing

PhD (UPMalaysia)
✉️maimunahmma@ukm.edu.my
Expertise:
Agri-food Process Engineering, Postharvest, Image Processing, Food Engineering, Artificial Intelligence
BSc, PhD (UPMalaysia)
✉️firdaussyahmi97@ukm.edu.my
Expertise:
Mikrobiologi Makanan, Mikroorganisma Patogen (Food Microbiology, Microbial Pathogen)
BSc (UKM), PhD (UKM)
✉️zhiyin@ukm.edu.my
Expertise:
Makanan dan Ingredien Berfungsi, Kimia Makanan & Analisis Makanan (Functional Foods & Ingredients, Food Chemistry, Food Analysis)

Plant sciences is the study of plants in all their forms and interactions using a scientific approach.
PhD (Univ. Of East Anglia)
✉️ vani@ukm.edu.my
Expertise: Plant Microbe Interaction, Plant Biotic And Abiotic Stresses, Soil Microbial Remediation

PhD (Univ. Of Edinburgh)
✉️ maniz@ukm.edu.my
Expertise: Plant Cell Biotechnology, Plant Genetics, Plant Cell Culture and Secondary Metabolite, Plant Molecular Biology

PhD (University Of Reading)
✉️ ntalip@ukm.edu.my
Expertise: Plant Taxonomy, Plant Systematic, Plant Anatomy, Plant Micromorphology, Plant Palynology

PhD (University of Western Australia)
✉️ hafiz87@ukm.edu.my
Expertise: Plant Biotechnology, Plant Molecular Biology

PhD (University of Liège, Belgium)
✉️riena@ukm.edu.my
Expertise:
Botany, Plant Systematics, Plant Taxonomy, Bryology, Biodiversity

PhD (The Pennsylvania State University)
✉️liyana@ukm.edu.my
Expertise:
Plant Molecular Biology, Plant Physiology, Plant Abiotic Stress

PhD (Univ. Of Edinburgh)
✉️ deen@ukm.edu.my
Expertise: Biodiversity, Flora, Fern Taxonomy, Molecule Systematic

PhD (University of Edinburgh)
✉️airianah@ukm.edu.my
Expertise: Microbial and Plant Polysaccharide Biochemistry, Food Biotechnology, Functional Food

PhD (UKMalaysia)
✉️ikmal.asmuni@ukm.edu.my
Expertise:
Plant Genomics, Plant Breeding, Plant Physiology, Agronomy

PhD (Aberdeen)
✉️nuraqilah@ukm.edu.my
Expertise:
BIOLOGY, PLANT SCIENCE, MYCOLOGY FOREST ECOLOGY, ENVIRONMENTAL SCIENCE
PhD (University Of Nottingham)
✉️hikma@ukm.edu.my
Expertise:
Plant Molecular Biology, Plant Development & Cell Signaling, Plant Abiotic Stress

PhD (Cambridge)
✉️ amirahsidik@ukm.edu.my
Expertise: Plant ion and molecular signalling, abiotic stress responses

PhD (UPMalaysia)
✉️ nora_aziz@ukm.edu.my
Expertise: Plant Breeding (Conventional, Molecular & Mutational Breeding), Genetics, Agronomy, Agricultural Sciences

PhD (UKMalaysia)
✉️ shamsulk@ukm.edu.my
Expertise: Botany, Plant diversity and Taxonomy of Spermatophytes

PhD (UKMalaysia)
✉️ syazwani.basir@ukm.edu.my
Expertise: Palynology, Plant Functional Anatomy, Phytochemistry, Histology

Chemical engineering is a branch of engineering that applies principles of chemistry, physics, and mathematics to design, develop, and optimize chemical processes and equipment. Subjects related to chemical engineering include thermodynamics, process design and optimization, reaction kinetics, catalysts, and reactors, separation processes, process control, design of safety systems and chemical engineering principles to biological systems.
PhD (UKMalaysia)
✉️ darfizzi@ukm.edu.my
Expertise: Oleochemistry, Catalysis for Bioenergy, Advanced Biofuels, Mesoporous Silica, Hazard & Risk Management

PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Technology, Biomaterial, Chemical Engineering

PhD (UKMalaysia)
✉️ mazuwaa@ukm.edu.my
Expertise: Photocatalysis/Photoelectrocatalysis
Electrocatalysis/Catalysis
Biomimetic Materials
Functional Catalytic Membrane
Functional Cellulose

PhD (UPMALAYSIA)
✉️nurfatimah@ukm.edu.my
Expertise:
Food Engineering, Thermal Processing, High-Pressure Processing, Biomass Conversion, Food Processing

Materials Science is a multidisciplinary field that focuses on fundamental science (physics, chemistry, and mathematics) and engineering. Materials Science includes metals, polymers, ceramics, composites, and semiconductors that emphasize on the study of the properties and behavior of materials at all scales, from the atomic to the macroscopic and nanoscopic, as well as the relationships between their structure, properties, processing, and performance. It also allows students to gain a deeper understanding of fundamental materials science and engineering principles, as well as advanced skills in designing, characterizing, and processing materials with tailored properties for specific applications. The course will also provide the opportunity for students to specialize in a variety of applications, including electronic, automotive, biomaterials, nanomaterials, and optical materials. Students may also work on interdisciplinary projects that involve collaborations with researchers from other fields, such as physics, chemistry, biology, and engineering.
PhD (UKMalaysia)
✉️ chia@ukm.edu.my
Expertise: Nanotechnology, Nanomaterials, Advanced Materials

PhD (UNSW Austalia)
✉️ insan@ukm.edu.my
Expertise: Corrosion Science

PhD (Durham)
✉️ rusli.daik@ukm.edu.my
Expertise: Polymer Synthesis, Electroactive Polymer, Biosynthetic Polymer, Nano-structured Polymer, Magnetic Polymer

PhD (UKMalaysia)
✉️ kaybadri@ukm.edu.my
Expertise: Functional Polymer, Applied Chemistry, Material Science and Engineering, Chemical processing and engineering, Industrial Chemistry

PhD (UKMalaysia)
✉️ darfizzi@ukm.edu.my
Expertise: Oleochemistry, Catalysis for Bioenergy, Advanced Biofuels, Mesoporous Silica, Hazard & Risk Management

PhD (Warwick)
✉️ hafizhj@ukm.edu.my
Expertise: Lead Free Ferroelectrics, X-ray Diffractions

PhD (London)
✉️ saiful-z@ukm.edu.my
Expertise: Food Bioprocessing, Food Engineering, Food Processing & Technology, Phytochemical Processing, Biomaterial

Phd (BOKU)
✉️ nabihah@ukm.edu.my
Expertise: Polymer Materials, Renewable Materials, Microspheres, Biorefinery
PhD (UKMalaysia)
✉️ chen@ukm.edu.my
Expertise: Polymer, Blending, Composite, Biocomposite, Nanocomposite

PhD (USMalaysia)
✉️ husniyah@ukm.edu.my
Expertise: Glass-ceramics, Ceramics, Aluminosilicate, Thermal shock resistance, Bioceramics

PhD (UKMalaysia)
✉️tiankhoon@ukm.edu.my
Expertise: Li, Na, Al, S - ion batteries; Nano-composite polymer electrolyte; secondary battery

PhD (UKMalaysia)
✉️ mazuwa@ukm.edu.my
Expertise: Photocatalysis, Photoelectrocatalysis,
Electrocatalysis/Catalysis,
Biomimetic Materials,
Functional Catalytic Membrane,
Functional Cellulose

PhD (UKMalaysia)
✉️ asif@ukm.edu.my
Expertise: Nonlinear Optics, Plasmonics, Quantum Optics, Computational and Theoretical Physics, Biosensors

PhD (UiTM)
✉️ siddiqfadhil@ukm.edu.my
Expertise: Conductivity and Dielectric, Optical and Luminescence, Rare Earth doped Glass, Nanoparticles doped Glass

PhD (UKMalaysia)
✉️wanhafizi@ukm.edu.my
Expertise: 3D Printing, Bionanocomposite, Smart Materials, Celullose

PhD (Kyoto Univ)
✉️ aisyah@ukm.edu.my
Expertise: Nanomaterials, Polymer (block or blend), Quantum dots materials, Supercapacitor
PhD (UTMalaysia)
✉️ lpteh@ukm.edu.my
Expertise: Advanced Materials, CO2 Capture and Conversion, Heterogeneous Solid Acid-Base Catalysis, Water treatment

PhD (UPMalaysia)
✉️ zazai@ukm.edu.my
Expertise: Dielectric ceramics, electrolyte ceramics

PhD (UKMalaysia)
✉️ farahnadia@ukm.edu.my
Expertise: Pulp and Paper, Lignocellulosic Materials, Regenerated Cellulose, Nanomaterials, Biopolymer and Derivatives

An efficient and safe work environment is established and sustained through industrial safety management. By learning it, risks will be reduced, and the security of the facility’s resources and users will be maintained. Without excellent safety management, risks of unscheduled downtime and accidents will be occurred. Industrial safety management covers fundamental core knowledge such as the occupational safety management system, risk and hazard assessment. Industrial safety management also focuses on explosive and fire safety. It will enhance our understanding on ergonomics, organizational and industrial psychology too. This program contains wide range of field in industry such as radiation and chemical safety, mechanical and electrical safety, biological and environmental safety. Meanwhile, the course provides essential knowledge on environmental and industrial law locally and internationally.
PhD (Exeter)
✉️faizalm@ukm.edu.my
Expertise: Radiation Biophysics & Nuclear Safety
PhD (UKMalaysia)
✉️ darfizzi@ukm.edu.my
Expertise: Oleochemistry, Catalysis for Bioenergy, Advanced Biofuels, Mesoporous Silica, Hazard & Risk Management

PhD (Pohang Univ. of Science and Technology)
✉️syazwanimf@ukm.edu.my
Expertise:
Radioactive Waste Management, Waste Immobilization, Environmental Radioactivity, Environmental Monitoring, Radiation Safety

PhD (UPMalaysia)
✉️nurrul@ukm.edu.my
Expertise: Occupational Safety and Health, Risk Management, Work-related Road risk management, Mental health management after workplace injury, Disability management
Environmental engineering is the scientific study of using engineering principles to improve environment, including air, water, land, and natural resources, as well as providing clean water, air, and land for humans and other organisms to live on and cleaning up polluted sites. Environmental engineering covers major topics in environmental service provision, such as water supply, wastewater treatment, sustainable resource management, and pollution control. It entails the design and construction of water and wastewater treatment plants, buildings, and industrial infrastructure, the fate and transport of contaminants in air, surface water, groundwater, and soil as well as the development of remediation strategies to keep these environments safe for public health and ecological services. The course emphasises the practical application of technical knowledge such as mathematics and physical sciences, as well as their applications to all areas of environmental engineering to real-world and societal problems.
PhD (RUN, The Netherlands)
✉️mhmarlia@ukm.edu.my
Expertise: Life Cycle Assessment, Techno-Economic Analysis, Material Flow Analysis, Carbon Footprinting, Wastewater Treatment,

BEng, MEng, PhD (UKM)
✉️ nurulain@ukm.edu.my
Expertise: Solid Waste Management

BSc (UKM), MSc, PhD (USM)
✉️azharhalim@ukm.edu.my
Expertise:
Water and wastewater treatment, Water quality, Environmental chemistry, Environmental analytical chemistry.

B.Sc., M.Sc. (UKM), PhD (USM, Malaysia)
✉️hariri@ukm.edu.my
Expertise: Enviromental Geophysics, Engineering Geophysics, Geothermal Exploration, Groundwater

Physics is a field of science that studies the properties, motion, behaviour, force and energy of matter. Physics uncovers the hidden laws that govern and explain the orderliness of the universe, from the behaviour of particles to the life cycle of stars scattered in our night sky.
PhD (UKMalaysia)
✉️mazuwa@ukm.edu.my
Expertise: Photocatalysis, Photoelectrocatalysis,
Electrocatalysis/Catalysis,
Biomimetic Materials,
Functional Catalytic Membrane,
Functional Cellulose

PhD (Kyushu Univ)
✉️ zana@ukm.edu.my
Expertise: Space weather, Earth's Ionosphere, Geomagnetic Field

PhD (University College London)
✉️maro@ukm.edu.my
Expertise:
Radiation physics, supercapacitors, quantum optics

PhD (Arkansas, US)
✉️ ras@ukm.edu.my
Expertise: High Temperature superconductors

PhD (UMalaya)
✉️rozida@ukm.edu.my
Expertise:
Plasma thin film technology optics
PhD (UKMalaysia)
✉️ ccyap@ukm.edu.my
Expertise: Organic photovoltaic

Environmental conservation is the planned management of natural resources for the preservation of the environment’s diversity. The major scopes of environmental conservation include pollution control, natural resource utilisation and development, addressing issues related to global warming and climate change, managing extreme events, natural hazards, and disasters, developing in the field of environmental engineering, ecosystem management, and habitat conservation, and so forth. The research area incorporated several subjects, including science and social studies in order to identify safe production and consumption practises to reduce the negative effects of human activity on the environment.
PhD (Loughborough)
✉️abas@ukm.edu.my
Expertise: Freshwater Ecology, freshwater taxonomy, freshwater biological monitoring, Environmental Impact Assessment (EIA)
PhD (East Anglia)
✉️ talib@ukm.edu.my
Expertise: Air quality, atmospheric aeosols, surface ozone, volatile organic compounds

PhD (USMalaysia)
✉️azharhalim@ukm.edu.my
Expertise:
Water and Wastewater Treatment, Water Quality, Environmental Chemistry, Environmental Analytical Chemistry.
PhD (USMalaysia)
✉️hariri@ukm.edu.my
Expertise:
Enviromental Geophysics, Engineering Geophysics, Geothermal Exploration, Groundwater

PhD (USMalaysia)
✉️ slwee@ukm.edu.my
Expertise: Insect Behaviour, Plant-Insect Interaction, Insect Pest Management, Diptera Diversity (Tephritidae & Calliphoridae)

PhD (Texas Tech Uni USA)
✉️ julianas@ukm.edu.my
Expertise: Conservation biology, Biomechanics, Chiropterologist
PhD (UMalaya)
✉️ shahrulnadzir@ukm.edu.my
Expertise: Environmental Science, Atmospheric Science, Sensors

PhD (Cardiff)
✉️ yaacobzw@ukm.edu.my
Expertise: OEnvironmental Geology, Contaminant hydrogeology, Engineering Geology, Soil Contamination
PhD (UKMalaysia)
✉️ mardiana@ukm.edu.my
Expertise: Environmental Analytical Chemistry, Environmental Modelling, Plant Allelopathy

PhD (UMalaya)
✉️ msaifulmansor@ukm.edu.my
Expertise: Vertebrate Ecology and Evolution, Molecular Ecology, Wildlife Management
PhD (Aberdeen)
✉️nuraqilah@ukm.edu.my
Expertise:
BIOLOGY, PLANT SCIENCE, MYCOLOGY FOREST ECOLOGY, ENVIRONMENTAL SCIENCE
PhD (Univ. of NSW, Australia)
✉️ hazlin@ukm.edu.my
Expertise: Environmental Microbiology, Environmental Biotechnology, Microbial Ecology

PhD (UKMalaysia)
✉️ nurulain@ukm.edu.my
Expertise: Solid Waste Management
Biophysics is an interdisciplinary field that applies the principles of physics to study biological systems at the molecular, cellular, and organismal levels. It involves the use of quantitative methods, including mathematics, computer modelling, and experimental techniques including X-ray crystallography, nuclear magnetic resonance spectroscopy, electron microscopy, to understand the complex physical mechanisms that govern the behaviour of living organisms. Biophysicists study a wide range of topics, including the structure and function of biomolecules, the mechanics of cellular processes, the dynamics of biological systems, and the interactions between organisms and their environments. Biophysics plays a crucial role in advancing our understanding of fundamental biological processes and developing new technologies for healthcare, bioengineering and biotechnology.
PhD (Exeter)
✉️faizalm@ukm.edu.my
Expertise: Radiation Biophysics & Nuclear Safety

PhD (Sheffield)
✉️ m.firdaus@ukm.edu.my
Expertise: Bioinformatics, Molecular Biophysics, Computational Structural Biology

PhD (University of London)
✉️ dorisquay@ukm.edu.my
Expertise: Structural Biology, Molecular Biology, Computational Molecular Biology

PhD (University College London)
✉️sudatt@ukm.edu.my
Expertise:
Bioinformatics, Computational Biology, Structural Biology

PhD (UKMalaysia)
✉️ asif@ukm.edu.my
Expertise: Nonlinear Optics, Plasmonics, Quantum Optics, Computational and Theoretical Physics, Biosensors

PhD (UMalaya)
✉️ shevin@ukm.edu.my
Expertise: Biomolecular Interaction

PhD (Royal Melbourne Institute of Technology,
Australia)
✉️ wnordiana@ukm.edu.my
Expertise: Medical Physics, Radiotherapy, Radiation Biology, Radiation Dosimetry, Nanomedicine

PhD (USMalaysia)
✉️wannurfadhilah@ukm.edu.my
Expertise: Computational Chemistry, Electronic Structure (Organic), Muon Spin Relaxation, Polymer (Aptasensor & Solar Cell)

The program is offered to address challenges in quality and productivity issues required in public sector, manufacturing and services environments. The main courses offered cover the philosophy and methods of total management and quality improvement of goods and services with a focus given to the application of scientific and mathematical methods. The main message of this program is to impart knowledge using mathematical science methods and mathematical and statistical skills to improve the quality of goods and services.
Study Duration
Minimum 3 semesters (1½ year)
Maximum 6 semesters (3 years)
*Classes on weekends
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
Public Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement
| Choose two (2): STQK6124 Process Control and Quality Improvement STQK6514 Quality Management in Service Sector STQK6264 Supply Chain Management STQK6544 Quality Design and System Reliability
|
| II | STQK6324 Service Delivery System in the Public Sector STQK6524 Productivity Measurement STQK6988 Research Project
| |
| Total Credit | 32 | 8 |
Manufacturing Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement | Choose two (2): STQK6264 Supply Chain Management STQK6514 Quality Management in Service Sector STQK6324 Service Delivery System In The Public Sector STQK6544 Quality Design and System Reliability |
| II | STQK6124 Process Control and Quality Improvement STQK6524 Productivity Measurement STQK6988 Research Project | |
| Total Credit | 32 | 8 |
Service Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement | Choose two (2): STQK6124 Process Control and Quality Improvement STQK6264 Supply Chain Management STQK6324 Service Delivery System In The Public Sector STQK6544 Quality Design and System Reliability |
| II | STQK6514 Quality Management in Service Sector STQK6524 Productivity Measurement STQK6988 Research Project | |
| Total Credit | 32 | 8 |
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STQK6114 Quality Assurance and Standardization
This course aims at giving students knowledge on the quality system in an organization and its role in assuring quality in products and services. Topics that will be discussed include the Total Quality Control, ISO 9000 and its development, documentation and planning of quality system, quality assurance analysis techniques, and quality audits and accreditation. This course also exposes the students to Quality Management System (QMS) based on Islam perspectives and the Syariah principles in supporting and defining QMS MS 1900:2005. Next, the QMS MS1900:2005 is studied on its implementation in various sectors, and method that can improve their competitiveness by adding Islamic values and halal aspects in the process of producing products and providing services, and in the work environment.
STQK6124 Process Control and Quality Improvement
The aim of this course is to illustrate students the importance of process control and quality improvement based on 6Sigma concept and how to apply the 6Sigma methodology in order to identify customers and improve process in an organization. The application of 6Sigma will be divided into one general categories; i.e. in manufacturing and management. Topics that will be discussed include the understanding and definition of 6Sigma concepts and its steps, identification of critical factors for success, measurement strategies including measurement tools, analyze phase, control phase including some control charts such as multivariate charts, CUSUM, EWMA, decision barrier scheme and reliability test, reference measurement, break even analysis of the quality values, learning curve and process improvement.
STQK6134 Total Quality Management
This course introduces students to the concepts of Total Quality Management (TQM) from the aspects of history, philosophy, principles, needs, measurement, reports and its usage. Topics that will be discussed include the historical development of TQM; TQM philosophy, needs and principles of TQM; customer concentration, human resource management, process management, ISO 9000 and its development, documentation and planning of quality system, quality audits and accreditation, and benchmarking.
STQK6144 Organizational Performance Measurement
This course aims at giving students knowledge of the concepts of measuring an organization’s performance, either in public or private sector. Emphasize will be given on the questions of why performance measurement is an essential element in an organization and how it can be done. One of the performance principles that are important is the Key Performance Indicators (KPI) and its linkages to the organization’s strategic planning. Other performance principle that will be highlighted is the Balanced Scorecard (BSC) that measures performance in 4 major perspectives: Internal Process, Customer, Finance and Human Capital. Implementation aspects of BSC and its challenges will also be discussed. Several case studies will be presented in order to enhance the knowledge of students towards the performance measurement through BSC implementation.
STQK6264 Supply Chain Management
This course is an introduction to the supply chain concept and will explore the management of supply chains to improve an organization’s overall supply efficiency. Other concepts included are the definitions of supply chains, identification procedures, an overview of methods, processes, and systems that are used in the operation of supply chains, and the applications of methods, processes, and systems to improve supply chain performance.
STQK6324 Service Delivery System in the Public Sector
In this course, student will be exposed to the service delivery system of the government agencies. Students need to understand various policies, regulation and circulation about various types and level of public service released by the Public Service Department of Malaysia. The history aspects of the public service and its evolution in Malaysia also will be discussed. Among important approaches in the public service that will be discussed includes ‘Best Value Review’. Comparison with various service delivery systems from other countries, particularly from Australia, United Kingdom, USA and Canada will also be touched. Case study on the public service system in the government agencies will also be discussed
STQK6514 Quality Management in Service Sector
This course explains to students the definition of ‘customer service’ and ‘service excellence’, basis of service excellent and the importance of services excellent in an organization. The importance aspect is how an organization can manage the customer complaint and solve the problem that being complaint by the customer. It also discusses the barrier to service excellence. The aim of this course is also to introduce students the methods of Customer Relationship Management (CRM) which is one of the important business strategies for an organization which put customers as the main focus. Students will get to understand the meaning and concepts of CRM and its importance to any organization, especially business organizations. Implementation of CRM in an organization includes aspects such as customer profiling, customer data warehousing and customer data mining, and also problems often encountered whilst implementing it will be discussed. Other aspects are customer satisfaction measurement, customer loyalty, customer equity concept and value equity. The usage of information technology makes the implementation of automatic CRM easier and establishment of Call Centre or Customer Service Centre is also discussed.
STQK6524 Productivity Measurement
This course introduces the concept of measuring the productivity of a firm, which efficiently convert inputs into outputs. Productivity measurement is a way which provides an excellent medium to monitor the status of productivity, and to explicitly relate productivity to its other strategic objectives. Topics discussed include productivity indicators, Data Envelopment Analysis (DEA) method, Index numbers and Malmquist Index. Several applications of the DEA method and Malmquist Index will be discussed.
STQK6534 Marketing Research Methods
This course discusses the research in marketing. Students will be exposed to the scientific research methods in order to understand and be able to analyze any problem in an organization. Comprehension of problem statement, research issues, research design, collection and analysis of data will be discussed in detail. The best approach in producing an ‘Executive Summary’ will also be discussed. The use of SPSS statistical package to analyze data and the interpretation of the outcomes of the statistical analysis will be delivered to students. In this case, several concepts and statistical analysis techniques will be discussed using collected data from a selected real life problem.
STQK6544 Quality Design and System Reliability
This course explores how statistics is used for controlling quality of product design and the process in manufacturing industry and furthermore for reliability assurance in production system. Experiments done by most researchers from various fields will be made an example in teaching and learning of this course. The outcomes from the analysis of these experiments depend and rely on the factors (whether the factors are fixed or randomly chosen) and experiment errors. Data collected from the experimental design are not only important to be analyzed statistically but also the ability to interpret the results becoming more important for more established experimental design development having taken into account suitable errors and factors. The topics that will be discussed are design of experiments in quality improvement and control; analysis of variance, f-test, multiple comparison, completely randomised design, factorial design, orthogonality, optimal blocked and design; Taguchi quality definition, Taguchi method, signal-noise ratio, robust design, loss function and output tolerance, reliability and failure function; life time distribution, model selection and fitting; repairable systems; fault tree; life testing plan; accelerated life testing; failure rating models and regression.
STQK6988 Research Project
Research project is a compulsory course work involving case study/literature survey/research. The student is required to conduct the research study under supervision of a supervisor. The student is also required to select a pertinent topic as agreed to by the supervisor. The students are required to write up a comprehensive and scientific report on the study that he/she has conducted.
The research-based programme offered in diverse areas in Science and Technology to provide students with the opportunity to experience the research process. Our postgraduates are nurtured to build their research reputation for excellence in scientific discovery. Students will be part of a strong research community that contributes to the society or some may be tackling global challenges. Some of the research in Faculty of Science and Technology (FST) strives to make distinctive contribution to science by taking multidisciplinary approaches and having industrial or institutional collaborations. FST students are also encouraged to access and engage with research networks both within Malaysia and internationally.
Study Duration
Full Time : 6 – 12 semesters
Part Time : 8 – 14 semesters
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Course | Total Credit |
| I or II | Core Course | STPD8014 | 4 |
| III | Thesis Progress Evaluation (Research Progress) | ||
| V | Thesis Progress Evaluation (Research Progress) | ||
STPD8014 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researcher with caliber. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students also has the opportunity to produce a review paper based on their literature review and experimental design. Students will be evaluated based on the writing of literature review and research proposal, attendance, as well as oral presentation of the research proposal.
Study Plan for Doctor of Philosophy Programme

Department of Applied
Physics
✉️
kpJFG_siswazah@ukm.edu.my

Department of Chemical Sciences
✉️
kpJSK_siswazah@ukm.edu.my

Department of Biological Sciences and Biotechnology
✉️
kpJSBB_siswazah@ukm.edu.my

Department of Earth Sciences and Environment
✉️
kpJSBAS_siswazah@ukm.edu.my

Department of Food
Sciences
✉️
kpJSMn_siswazah@ukm.edu.my

Department of Mathematical Sciences
✉️
kpJSMt_siswazah@ukm.edu.my
Executive Mode is a coursework, full-time master programme offered outside of office hours to give working students the opportunity to achieve their ambitions
The Master in Food Science by coursework program is designed to produce graduates with advanced knowledge and skills in various aspects of food science. Core courses provide in-depth understanding of food properties, safety, and quality; develop critical research skills essential for addressing current issues in the food industry; as well as provide exposure to operational aspects. In addition, a wide range of elective courses allows students to tailor their studies according to their interests and career goals. These electives support specialization in areas such as innovation, public health, and specialized food product development. Overall, the program equips students with the knowledge and expertise needed to meet the challenges of an increasingly complex and global food industry.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Courses | Total Credit |
| I | Core Course | STPD6024 Research Methodology STKM6113 Advanced Food Microbiology STKM6112 Research Methodology in Food Science STKM6012 Advanced Food Analysis Methods STKM6123 Advanced Food Chemistry STKM6973 Research Project I | 17 |
| Elective Course | STKM6133 Food and Nutrition Security STKM6712 Food and Nutritional Toxicology STKM6052 Cocoa and Chocolate Confection Technology STKM6212 Halal Food Technology STKM6152 Nutrition, Food and Health | 3 (choose any course offered) | |
| II | Core Course | STKM6243 Food Safety Management STKM6323 Food Processing Operations STKM6986 Research Project II | 12 |
| Elective Course | STKM6033 Science of Fats and Oils STKM6173 Food Carbohydrate Innovation STKM6732 Food Packaging and Shelf Life STKM6023 Protein Product Technology | 8 (choose any course offered) | |
Total Credit | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STKM6113 Advance Food Microbiology
This course critically discusses the scientific aspects of microbial contamination in food, including the physiological and biochemical characteristics of such microorganisms, and fermentation technology that highlights the aspects of automation, in line with the concept of the 4th industrial revolution. The mechanism of toxin production by microorganism that cause food poisoning, infection or intoxication will also be discussed. Rapid and advanced methods for the detection of microorganisms, issues of emergence of foodborne diseases and legislation related to food microbiology will be collaboratively discussed. The principles and use of predictive microbiology during food preservation and microbiological risk assessment (MRA) for the control of food pathogens will be introduced. In addition, topics related to gut microbiota including probiotics, techniques in food bioprocess and biotechnology using bioreactors and genetically modified microorganisms will also be studied.
STKM6112 Research Methodology in Food Science
This course discusses the application of basic principles of experimental design in food science which include single and multi factor experiments. Discussion will include different types of experimental design and steps to conduct it including randomization and replication. This will be followed with discussion on the basic methods of data analysis such as t test, ANOVA and means comparison test. Students will also learn how to discuss and report experimental findings.
STKM6012 Advanced Food Analysis Methods
This course discusses the current trends in food analysis methods using latest instruments for innovative research in food science, supporting the needs of Industrial Revolution 4.0. The topics to be discussed include sample preparations, and physicochemical characterisation of food samples. Preparative chromatography, flash chromatography and ultrafiltration methods will be introduced as methods for sample preparations. In terms of sample characterisation, latest instruments including FTIR, LC-MS/ToF and NMR will be discussed collaboratively. Metabolomics and
chemometrics analysis methods will also be introduced. Selection of suitable instruments appropriate to the research or samples studied will be highlighted, in order for students to be able to critically identify the correct instruments to be used for solving research problems. Students will be performing hands-on practical on selected instruments. Innovative and latest applications in analysis methods will be unveiled using the latest findings based on high-impact journals, as well as sharing by experts of these latest instruments.
STKM6123 Advance Food Chemistry
This course will critically discuss the topics associated with the major and minor food components including protein, carbohydrate, lipid, water, enzyme, flavour, vitamins and minerals pertaining to the chemistry and biochemistry, giving special emphasis on appropriate instrumental analytical techniques to determine and monitor physicochemical properties. Protein chemistry will be discussed on interaction of protein-water, protein-protein, protein-starch and protein-metal and their importance in food processing. Protein modification technology will also be discussed
collaboratively and effectively. Carbohydrate chemistry will cover detailed discussion on the structure-function relationship, modification and application in food industries. Lipid chemistry will cover topics such as the production of fats, classification of lipid, value added products, polymorphism, fat oxidation, oxidation, effects of processing towards lipid and use of lipid in food systems. Fat and oil analysis techniques as well as their applications for problem solving in industry will also be discussed.
STKM6243 Food Safety Management
Food quality control, total quality management (TQM) and food safety management in current food industry will be discussed. Students will be exposed to the elements of organization management which are required to develop and administer a product quality assurance system. An effective quality assurance system is required to produce a good and safe product which can meet national and international standards. Good Manufacturing Practice, Halal food, Hazard Analysis and Critical Control Point (HACCP), FSSC 22000 and SQF system will be discussed based on case studies. The development and administration of the regulations and rules pertaining to quality and safety systems will be covered in this course.
STKM6323 Food Processing Operations
This course critically discusses the current trends in food processing technologies. This course focuses on the technical aspects of processing including theoretical aspects, equipment preparation, and application of such processing technologies in the food industry. Among the food processing technologies that will be discussed include the basics of process dynamics and control, extrusion, food sensors, high-pressure processing, and non-thermal processing. Students will also be involved in several practical sessions on developing certain processes.
STKM6133 Food and Nutrition Security
In this course, the trends in population demographics and their effects on food demand, distributional issues (such as issues with affordability and accessibility), food supply (availability), the impact of technology and climate change, and the significance of trade for food availability and as a stabilisation mechanism will be covered. Different aspects of food security will also be exposed and debated.
STKM6712 Food and Nutritional Toxicology
This course will provide exposure to the general and applied concepts in food toxicology and nutrition. Emphasis is given to toxins in food, their effect on nutrition, and interaction with bio transformation. Students are also exposed to matters related to food supply chain, food safety and current issues in food toxicology and nutrition.
STKM6052 Cocoa and Chocolate Confection Technology
This course covers a comprehensive and scientific understanding of the post-harvest processing of cocoa which involves important processes such as fermentation and roasting. For example, the chemical changes that occur during the fermentation process to produce the final chocolate flavoring precursors will be discussed. Next how these flavoring precursors interact as a result of the Maillard reaction is also revealed. Chocolate and cocoa confectionery production technology will also be discussed. Students will be exposed to the importance and interactions of ingredient components and additives that will affect the physicochemical and sensory properties of the product. In this course, students will carry out a collaborative hands-on project to improve their mastery of important factors in cocoa processing and the production of chocolate products in an innovative and creative way.
STKM6212 Halal Food Technology
This course discusses various aspects of processed food production and catering services / halal catering in relation to the 4th industrial revolution concept. Among the focus areas are the Shariah and Legal Fatwa, guidelines and standards for halal food production and control in accordance with MS1500: 2019 (third revision) and the Malaysian Halal Certification Procedure Manual (MPPHM), the development of halal quality systems, certification and usage of the official halal logo, halal audit, non-conformance report will be emphasized. The legal aspects of food, acts and regulations related to halal food at national and global levels are also discussed. Various issues which focus on halal food technology towards ingredients and food additives such as kod E, gelatin, blood plasma, transglutaminase (TGase), alcohol, genetic modified organism (GMO), cultured meat and others are also discussed. Development of meat-based technology; various ingredients and halal food additives; and advanced molecular techniques to detect porcine DNA based on methods of polymerase chain reaction (PCR), Next Generation Sequencing (NGS), real-time PCR, southern-hybridization PCR and detection based on protein are also emphasized.
STKM6152 Nutrition, Food and Health
This course will discuss the relationship between nutrition, health, and food. Nutritional management and effective food consumption control are essential for optimum health. A healthy diet is crucial for good health and nutrition, where it protects against numerous chronic noncommunicable diseases, such as heart disease, diabetes, and cancer. A healthy diet encompasses a combination of different foods. Consuming a variety of foods and consuming less salt, sugars, and saturated and trans-fats, are essential for healthy diet.
STKM6033 Science of Fats and Oils
This course discusses fat and oil processing to produce value added products. These include fractionation, hydrogenation, transesterification, production of emulsifiers (DAG, MAG) and specialty fats (structured lipids), which can be applied and to solve industrial problems. In addition, polymorphic characteristics of fats and oils and the physico-chemical changes in fats and oils for example when subjected to heat or oxidation will also be discussed collaboratively. Students will also be exposed to how innovative and creative manipulation of lipid’s structure can make it useful in different applications such as structured lipid, lipid-based emulsifiers, and lipid-based fat replacers. Lipid digestion will also be discussed. Innovative and up-to-date applications of fats and oils will be unveiled using the latest findings based on high-impact journals either through discussions in lectures, or by individual or collaborative assignments.
STKM6173 Food Carbohydrate Innovation
This course discusses several aspects of carbohydrate innovation in food processing aimed at producing value-added food products. The discussion begins with an introduction to the importance of carbohydrates in food products as well as the relationship between structure and its properties in providing value in terms of taste, texture, and function. Innovations for several important carbohydrates in food such as starch, cellulose, glucans, pectin, sugar alcohols, fructans and inulin, chitin, and chitosan as well as carbohydrates from microbial and marine algae will be discussed in depth. Emphasis will be given from the aspects of source, preparation process, modification technology, structure and properties of the carbohydrates produced. For each of these carbohydrates, its application in various food products such as in bread production, dairy, beverages, confectionery, frozen food, and food packaging will be discussed comprehensively. At the end of this course, students will have the opportunity to propose innovations and applications of sustainable and commercially value-added carbohydrate food products.
STKM6732 Food Packaging and Shelf Life
This course covers the critical and scientific discussion of food packaging techniques. Consequently, aspects related to food degradation and reaction rates, shelf life and shelf life prediction will be instructed theoretically and practically. The course scope will collaboratively and effectively deliberate on the issues, trends and challenges faced by the food industries regarding food packaging in terms of safety and enforcement. Also, the safety and pollution of packaging materials will also be covered. The students will be exposed to the latest technologies evolving in food packaging industries including edible food packaging, biodegradable packaging, active packaging and smart packaging.
STKM6023 Protein Product Technology
This course discusses the scientific and technological aspects of animal, plant and microbial protein. Emphasis will be given to animal protein technology and innovation especially on meat, milk and eggs. The scientific aspects include microbial quality, chemical, biochemical and the physical properties of these proteins. Technological aspects include meat, milk and egg-based product processing technology with relation to the 4th industrial revolution concept. The production and usage of side products such as fats, leather, egg shells, whey and lactose will also be discussed collaboratively. Besides, protein technology from plant and microbial (single cell protein) based will also be discussed with focus on vegetarian / vegan consumers.
STKM6973 Research Project I
This course aims to expose students to the nature of research by training the students to study a specific research topic in the studied programme, either food science or nutrition. Students are required to conduct a systematic information search and need to deeply understand the essence of the methodology and literature review conducted. At the end of the semester, students are required to submit the research report of chapters 1-3, which comprises of research introduction, literature review and methodology for an evaluation.
STKM6986 Research Project II
This course is the second phase of a research project in which the students will gain experience in conducting research in a specific area that has been selected during the Research Project I course. Research to be performed on a hands-on basis includes laboratory or community survey, observing and analyzing data. The results of the research will be reported in the form of a dissertation according to the format outlined by UKM, which then needs to be presented and defended in an oral examination.
The Master of Science in Chemistry by coursework offers a package of a minimum of two semesters for full-time students. This program is offered to qualified students from chemical industries, private colleges, research institutions, teachers and government sector which have limited time to further their studies. Graduates from this program are expected to have in-depth knowledge in advanced areas of chemistry and competence in solving problems in chemistry and related sciences.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Courses | Total Credit |
| I | Core Course | STPD6024 Research Methodology STKK6523 Spectroscopy in Organic Chemistry STKK6353 Advanced Inorganic Chemistry STKK6153 Advanced Physical Chemistry STKK6713 Principles of Analytical Instrument Design STKK6974 Research Project I | 20 |
| II | Core Course | STKK6722 Chemical Management System STKK6513 Organic Synthesis STKK6989 Research Project II | 14 |
| Elective Course | **Select any 2. Students are advised to take courses related to their respective research fields. STKK6213 Advanced Electrochemistry STKK6113 Quantum Chemistry STKK6273 Computational Chemistry STKK6253 Introduction to Chemical Biology STKK6233 Advanced Oleochemistry STKK6373 Characterization of Inorganic Compound STKK6293 Agriculture Chemistry STKK6123 Advanced Polymer Chemistry STKK6393 Advanced Analytical Chemistry | 6 | |
Total Credit | 40 | ||
Starting on Semester 2, 2024/2025 Academic Session
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STKK6523 Spectroscopy in Organic Chemistry
This course is introduced to strengthen the students’ knowledge and skill in structural determination and stereochemistry of organic compounds. The theory and application of modern spectroscopic methods for this particular aim will be discussed, including ultraviolet, infrared, one and two-dimensional NMR and mass spectrometry. In addition, a step-by-step approach in structural elucidation of organic compounds that involves abstraction and interpretation of ultraviolet, infrared, one and two-dimensional NMR and mass spectral data will be discussed in detail. Besides focusing on the structural elucidation exercises based on the spectroscopic data, hands-on application of the instrument will also be executed during one slot of practical work. The importance of spectroscopic and physical data in the stereochemical determination of organic compounds will also be covered.
STKK6353 Advanced Inorganic Chemistry
This course will expose students to all aspects of basic inorganic reaction mechanisms, namely the process of bond formation and cleavage, electron transfer, the nature of intermediates, medium and other effects, in inorganic and organometallic redox and substitution reactions, including those which underlie critical catalytic, environmental, biological and industrial processes. Besides that, examples of specific structures and functions of metal/metal ions and metal complexes in human life will also be discussed. This course will also cover the catalysis processes of inorganic and organometallic complexes.
STKK6153 Advanced Physical Chemistry
Changes: internal energy changes, direction of system changes. Second law: entropy and third law. Free energy of system: general thermodynamic equation, characteristics of free energy, chemical potential. Phase boundary, phase stability, phase transition, liquid surface. Phase diagram: three-component system. State of matter: gas, solid and liguid, physical and chemical process, ideal and real gases, concentration and activity, pressure and fugacity, energy concept, first , second and third thermodinamic laws, physical and chemical equilibriums, electrolyte and non-electrolyte, conductive number, conductivity, galvanic cell, concentration cell and battery. Discussion on the engineering aspect of chemical reactions involving homogeneous and heterogeneous reactions, and mechanism derivation based on the kinetics data is explored. The type and properties of chemical reactors are introduced.
STKK6713 Principles of Analytical Instrument Design
This course provides a comprehensive understanding of designing and utilizing analytical instruments for scientific research and industrial applications. This course covers fundamental concepts in instrument design, including detectors, sensors, and data acquisition systems, emphasizing the selection of measurement techniques, signal processing methods, and calibration procedures. Various analytical techniques, such as spectroscopy, chromatography, mass spectrometry, and electrochemical methods, are explored in terms of their instrument design implications. Students are exposed to instrument validation, quality control, and regulatory compliance, preparing them for careers in research, development, and quality assurance across scientific and industrial sectors. Overall, this course equips students with essential skills for designing, optimizing, and maintaining analytical instruments to meet industry standards and regulatory requirements.
STKK6722 Chemical Managment System
This course emphasizes a comprehensive discussion of the components of the management of the chemical industry. These management components involve history, legislation, and practice procedures adopted in Malaysia. Among them are The Occupational Safety and Health Act (Act 514) and its Regulations, Environmental Quality Act (Act 127), ISO 1042 Laboratory Safety Practice Procedures, ISO 9001:2000 Quality Management System, ISO 14000 Environmental Management System, Safety Management System and Occupational Health ISO 45001. This course also introduces continuous management system improvement procedures using the PDCA (Plan, Do, Check, Act) cycle model. This course also discusses hazard identification methods, risk assessment, and appropriate hazard control measures.
STKK6513 Organic Synthesis
Reaction leading towards forming carbon-carbon bonds, a summary of reactions especially involving functional group interconversions, was discussed. Synthetic methods emphasise discovery, development and use of chemical reaction in synthesis; limitations and scope of the reactions in question. Multi-step synthesis as templates for various synthetic approaches and strategies using organometallic compounds will be discussed. Organometallic reactions such as Grignard reaction, Kharasch reaction and Gilman reaction also will be discussed.
STKK6213 Advanced Electrochemistry
This advanced course in electrochemistry offers a thorough exploration of electrochemical techniques and their wide-ranging real-world uses. By encompassing the fundamental principles as well as the latest breakthroughs in the field, it aims to foster a deep understanding of electrochemical science among students. The course commences with a comprehensive introduction to the historical context and core principles of electrochemistry, shedding light on concepts such as redox reactions, electron transfers, and the interfaces between electrodes and solutions. It delves into the various electrode types, including working, reference, counter electrodes, and microelectrodes, emphasizing methods to enhance electrode performance. Subsequently, students delve into the intricacies of essential electrochemical techniques like Cyclic Voltammetry, Differential Pulse Voltammetry, Chronoamperometry, and Potentiometry. Furthermore, the course delves into Electrochemical Impedance Spectroscopy (EIS) and its practical applications, particularly in material characterization and corrosion studies. It goes on to explore advanced electrochemical applications, encompassing sensors, electrosynthesis, fuel cells, batteries, advanced oxidation processes, corrosion prevention and coating strategies. Students will engage in hands-on case studies , culminating in comprehensive assessments that prepare them for advanced research and practical applications in various domains, including sensor technology, energy storage, environmental preservation and material science.
STKK6113 Quantum Chemistry
This course introduces and discusses the basic principles in quantum theory; topics include wave-particle duality principle, uncertainty principle, Schrödinger equation, normalization and quantization, the born interpretation of the wave function, operators, eigenvalues and eigen functions, probability and expectation values. The application of wave function in solving the particle in a box and motion in two dimensions for translational motion; the energy levels and the wave functions for vibrational motion; and rotation in two and three dimensions, and spin for rotational motion will be included in discussion. In the second part of this course, the material covers the following topics: atomic spectra, structure of H atom, ionization energy, molecular structure, molecular orbital theory, bonding and antibonding orbitals, linear combinations of atomic orbitals (LCAO) theory, Huckel molecular orbital theory.
STKK6273 Computational Chemistry
The field of computational chemistry encompasses the development and application of numerical methods for studying chemical systems. The successful investigation of problems in chemistry using computational chemistry requires both an understanding of the nature of the chemistry being studied and an understanding of the computational methods employed. Students will learn computational chemistry literacy and perform standard computational chemistry tasks such as geometry optimizations, molecular structure, rotation-vibration spectrum, and chemical adsorption and dissociation through this course. Emphasis will be placed on practical understanding of the strengths, weaknesses, and ranges of applicability of different computational software. This knowledge will allow for the critical evaluation of the validity and accuracy of results and of the conclusions derived from the computational chemistry modelling of particular chemical problems.
STKK6253 Introduction to Biological Chemistry
Chemical Biology is a subject emphasizing the study of understanding the chemical principles of biological function. Students will discuss structures and reactivity, chemical mechanisms of enzyme catalysis, the chemistry of signalling, biosynthesis, and metabolic pathways. This course is also designed to provide a forum to discuss current issues and technology developments in chemical biology.
STKK6233 Advanced Oleochemistry
This course is an advanced chemistry course in the fields of oil and fats and oleochemical. The palm oil and oleochemical industries are among the largest industries in Malaysia as the world’s largest producers of palm oil and oleochemical materials. The course prefix will focus on oil and fat chemistry principles such as the structures and the chemical naming of triacylglycerol, fatty acids, and the issues involved. The analysis of physicochemical characterization is also introduced, such as iodine value, peroxide value, saponification value, acid value and cloud point. The course will also expose students to chemical reactions, such as hydrolysis, methanolysis, and glycerolysis. In addition, students will be introduced to chemical processes at the industry level, such as crude oil extraction, oil purifying until the production process of oleochemical. At the advanced level, this course will introduce chemical modification reactions such as epoxidation, esterification and etherification to modify oil structures and oleochemical materials to a new compound that can be used in industry biolubricant, polymer, surfactants, emulsifiers, antibacterial and many more. In addition, this course will focus on the chemical and enzymatic modifications used at the research and industry level. The process of polymerization is also introduced in this course to serve current industry demand. Students have an opportunity to join industry visits to oil processing refineries and oleochemical. This course offers exposure to graduate students, especially for students interested in researching oil, fats, and oleochemicals
STKK6373 Characterisation of Inorganic Compounds
Characterisation of inorganic compounds is the course that discusses theoretical and practical aspects of characterisation techniques for inorganic compounds. This course covers analytical instrumental techniques, including data generation, acquisition, processing, and interpretation and related applications. A range of techniques will be considered, with the emphasis being placed on specific analyses, including colour and melting point of the compounds, elemental analysis, crystallography analysis, atomic and molecular spectroscopic analysis, mass spectrometry, magnetism analysis, electron paramagnetic resonance, nuclear quadrupole resonance (NQR) spectroscopy as well as diffraction analysis. Apart from that, related applications in the current research and industries will also be discussed.
STKK6293 Agricultural Chemistry
The course content of Agricultural Chemistry covers a few main topics such as the elemental composition of the soil, ion equilibrium in soil, soil acidity, insecticide, fungicide, nematocide, herbicide, plant growth and productivity regulator, formulation of agricultural chemicals, dan chemical residues in soil.
STKK6123 Advanced Polymer Chemistry
Polymer chemistry is a multidisciplinary science that deals with the chemical synthesis and chemical properties of polymers. This polymer chemistry course covers the synthetic techniques in everyday use in academic and industrial laboratories for making a wide variety of polymers. The challenges and latest developments in producing established thermoplastics and elastomers from renewable sources to obtain sustainable polymeric materials are discussed. Synthetic reactions on formed polymers are also presented as tools to modify the polymer properties. Emphasis is placed on how the various synthetic methods control structural features such as molecular weight, branching, cross-linking, and crystallinity. This course covers essential polymerization reactions, focusing on their reaction mechanisms and kinetic aspects. The most common polymerizations include step-growth polymerization and chain polymerization (radical, ion, and coordination polymerization). These include more advanced polymerization techniques such as copolymerization, controlled radical polymerization, heterogeneous polymerization and ring-opening polymerization. Polymerization principles of bulk, solution, suspension, emulsion, and interface polymerization are discussed and compared. Each method presentation will cover the entire spectrum, from the theoretical understanding of detailed experimental procedures to examples of functional materials prepared by the specific method. Aside from theory, the course also focuses on calculations and predictions of important parameters and outcomes of polymerizations, including the degree of polymerization, average molecular weight, average functionality, gel point, rate constants, copolymerization composition etc.
STKK6373 Advanced Analytical Chemistry
Advanced analytical chemistry covers theoretical and practical aspects of analytical instrumental techniques, including data generation, acquisition, processing, interpretation, instrumentation and state-of-the-art applications. A range of techniques will be considered with emphasis on atomic and molecular spectroscopic analysis, chromatographic analysis, mass spectrometry, and advanced thermal analysis techniques. This course also covers data handling, statistical treatment of analytical data and evaluation of analytical data with chemometric methods. Data collection technology which includes a big data approach to analytical chemistry will be discussed.
STKK6974 Research Project I
This course introduces students to basic of research. Students are required to carry out information search systematically. Students will have to understand in detail the content of literature search carried out. Students are also required to prepare a research proposal that includes literature review, research problems, research methods and expected research results. Students have to present a research proposal at the end of the semester.
STKK6989 Research Project II
Dissertation is a continuation of Research Project I, where students in this semester must produce a dissertation using data from the research project. Research conducted exposes students to approaches, techniques, observation and data analysis as well as research solutions. Research outcomes should be written according to the UKM style writing format (The UKM Style Guide). Assessment is based on dissertation writing and oral presentation. In addition, the monitoring of the development and the frequency of meeting with supervisors was also evaluated.
Data science is a multidisciplinary field of study that involves scientific methods, processes and systems in extracting both explicit and implicit information from a variety of data structures. It combines the knowledge of mathematics and statistics, programming and data analytics. This master programme offers a variety of courses with emphasis on data analytics. Students are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytic to match their interests and career paths. The aim of the programme is to produce knowledgeable, ethical and competitive graduates who can contribute to the nations.
Study Duration
Minimum 3 semesters (full time) / 5 semesters (part time)
Maximum 4 semesters (full time) / 8 semesters (part time)
*all lectures during weekdays and office hours (including part time)
Intake
Intake – every October
*subjected to UKM academic calendar
Data Computing Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 STQD6324 STQD6114 STQS6444 STQM6154 STQD6334 STQD6524 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
Data Analytic Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 STQS6284 STQD6114 STQD6134 STQS6444 STQS6234 STQM6154 STQD6334 STQD6524 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
Finance and Business Analytic Module
| Semester | Core Course | Elective Course |
| I | STQD6014 STQD6214 STQD6414 | Choose four (4): STQD6124 STQD6134 TQD6114 STQS6444 STQD6334 STQA6014 STQA6034 |
| II | STQD6024 STQP6014 | |
| III | STQD6889 | |
| Total Credit | 29 | 16 |
STQA6014 Investment Analysis and Portfolio Management
The focus of this course is on the investment decision making. It presents the applications of various investment instruments and its role in risk management. The concept of risks and returns are covered comprehensively. Efficient diversification is discussed with the emphasis on the construction of efficient portfolio. The different kinds of investment instruments are assessed and weighted. Share valuation methods and portfolio theories such as the Markowitz theory, the Single Index model, the Capital Asset Pricing Model are discussed. The fundamental and technical analyses are also explained. The behavioral finance theory such as the Efficient Market Hypothesis is included. Students will participate in learning activities consisting of article journal discussion and project presentations.
STQA6034 Issues in Risk Management and Insurance
This course has one main objectives; the first is to provide students with a broad perspective of risk management that emphasize traditional risk management and insurance while introducing other types of risk management, while the second is to equip students with the tools needed for the analysis of mathematical models that describe the loss process. The major topics that will be covered are risk management (objectives, measurement, diversification and retention), hedging, corporate risk management, enterprise risk management, estimation methods (for complete and incomplete data) and model selection. The students will also be trained to use R and Excell software for computing relevant mathematical analysis. At the end of semester, students are required to make a presentation on an article from an agreed journal so that they will appreciate the applicability of concepts and methodologies covered in this course.
STQD6014 Data Science
This course aims to expose students to the basic principles of data science and Python programming. Students will be introduced with the concept of big data and the various types of data related to it. This course would also covers the algorithms, processes, methods and analyses used in the field of data science with examples and discussions using Python. Other topics covered are the current data technologies available for storing and archiving data.
STQD6024 Machine Learning
This course aims to expose students on concepts, techniques and algorithms in machine learning. Machine learning revolves around the development of a computer system, which is able to self-learning and improving through experience and recorded data. This course is among main technologies in Big Data and its applications in various fields. Among common topics covered are neural neonerk, decision tree and support vector machines. Among advanced topics covered are ensemble and unsupervised learning also reinforcement and evolutionary learning.
STQD6114 Unstructured Data Analytics
The aim of this course is to introduce students to basic and current methods used to compile, summarize and analyze unstructured and semi-structured data. Unstructured data includes texts, images and audios. Focus are given to algorithms and techniques for mining, exploring and analyzing unstructured data using suitable packages. Students are also exposed to sources for unstructured data. Related applications of unstructured data such as sentiment analysis, document clustering and information extraction are also discussed.
STQD6124 Data Visualization and Communication
This course introduces students to the basic principles of data visualization and communication. Students are exposed to the principle of designing visualizations, human perception, colour theory and effective data storytelling. Suitable graphs and charts to convey information clearly are taught. Students will be trained to use visualization softwares such as R, ggplot, MatplotLib, D3 and others. Some specific graphical techniques will be introduces such as visualizing multivariate, time series, spatial, texts, hierarchical and neonerk data.
STQD6134 Business Analytics
This course aims to expose students on the techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. It is divided into customer, operation and people analytics. Customer analytics focuses on how data is used to describe, explain, and predict customer behavior. Meanwhile, operation analytics focuses on how the data can be used to profitably match supply with demand in various business settings. This also covers on how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. Finally, people analytics is a data – driven approach to managing people at work.
STQD6214 Mathematical Statistics with Computing
This course aims to expose students to the fundamentals of mathematical statistics including descriptive statistics, graphical displays, sampling distributions, hypothesis testing and other methods in data analysis. This course also reflects the integral role of R in computing statistical problems. Basic simulation concepts are discussed with examples. Students will learn how to generate data, analyze data using statistical methods and interpret the results obtained.
STQD6324 Data Management
This course aims to provide the fundamental and state of the art on the technologies used in data management big data solutions. Students will be introduced to data model, databases, querying and big data processing. It covers data security, data centre and the development of big data solutions such as the Hadoop ecosystem, including MapReduce and HDFS. Apache Spark will also be introduced, including Spark’s architecture, data distribution and parallelisation of tasks. Students will have a better understanding on how to optimise the information in the big data using Spark’s memory caching, as well as using the more advanced operations available in Spark.
STQD6334 Multicriteria Decision Making
The purpose of this course is to introduce the concepts and techniques in solving Multi-criteria Decision Making problems. The methods to be used to solve the problems depend on the type of problems. Topics included are decision making without probabilities, decision making with probabilities, decision making with sample information, decision making under uncertainties, Analytic Hierarchy Process, TOPSIS, VIKOR, PROMETHEE and ELECTRE.
STQD6414 Data Mining
This course explains in detail about the process of exploration in the database (KDD) and data mining. This course discusses the process of data preparation which includes data cleaning, integration, transformation, reduction and discretization. This course covers the the general concept of data mining process on various types of data stream, sequence, time series, text, spatial and web-data.
STQD6524 Statistical Methods for Computational Biology
The aim of this course is to give exposure on statistical methods and computation in biology and bioinformatics. Focus is given on the understanding of basic statistical concepts and inferential statistics as well as their use in solving biological problems. This course covers topics such as introduction to genetic data, gene expression data, DNA sequential data, Protein and RNA, sequential analysis, phylogenetic, gene expression analysis and micro array data analysis. Statistical methods that will be covered are inferential statistics methods, hypothesis testings, multivariate, statistical modelling, experimental design, robust statistical techniques, Bayesian and Markov Chain Monte Carlo.
STQD6889 Capstone Project
Capstone project provides experiential learning opportunity and gives students space to produce a product which is evaluated by potential employers. The project is obtained from real world problems and executed in collaboration with industry, government or private agencies, or academics. Students will use knowledge and skills which they have obtained throughout their study to help solve real problems. During the course of the project, students will be involved with the whole process of identifying and defining problems, giving solutions and limitations, perform analysis, reporting and presenting results and giving suggestions
STQM6154 Network Science
This course introduces mathematical theories in neonerk science. Neonerk science is a multidiscipline field which investigate problems that can be understood through neonerk approach. Among the aims of neonerk science are to find cross-neonerk equations and increase understanding of systems which are represented by neonerks through data analysis. The use of neonerk science can be found in mathematics, social neonerks, biological systems and transportations
STQP6014 Research Methodology and Industrial Seminar
The aim of this course is to give a background and method to perform scientific research in Data Dcience field. Research ethics, research principes, research designs and the role of researhers are discussed. Research methodologies, sampling and data collection as well as critical literature review are exposed to the students. Students will also be exposed to current issues and recent research in Data Science through a series of Data Science Seminar by inviting researchers and main industry practitioners in this field.
STQS6234 Bayesian Inference
This course introduces to the students on Bayesian’s theories. Bayesian inference for normal distributions is also discussed. Other than that, Bayesian inference for distributions other than normal, for example Binomial and Poisson is also explained. Other topics include hierarchical Bayesian model, empirical Bayesian, hypothesis testing, correlation, regression and analysis of variance.
STQS6284 Multivariate Analysis
This course intends to introduce statistical mehods for multivariate data. Students are emphasized on the comprehension of the concepts and theories in multivariate analysis. Among topics covered in this course are matrix algebra, multivariate normal distribution, hypothesis testing for multivariate data, principal component analysia, factor analysis, discriminant analysis and cluster analysis.
STQS6444 Time Series Modelling and Forecasting
The objectives of this course are estimating simple regression models, explaining the techniques for modeling trend and volatility in time series data, explaining the cointegrating relation between one or more time series, and at the same time highlighting several major issues in time series analysis that are related to stationarity, trend, volatility, and cointegration. In particular, for modeling trend and volatility, the focus will be on the ARCH-GARCH models. As for cointegration, the error-correction mechanism and the Johansen approach will be discussed. At the end of the semester, the students will be required to write one short report on the application of statistical testing methods and model analyses that are covered during the semester.
The research-based programme offered in diverse areas in Science and Technology to provide students with the opportunity to experience the research process. Our postgraduates are nurtured to build their research reputation for excellence in scientific discovery. Students will be part of a strong research community that contributes to the society or some may be tackling global challenges. Some of the research in Faculty of Science and Technology (FST) strives to make distinctive contribution to science by taking multidisciplinary approaches and having industrial or institutional collaborations. FST students are also encouraged to access and engage with research networks both within Malaysia and internationally.
Study Duration
Full Time : 4 – 6 semesters
Part Time : 6 – 8 semesters
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Code and Name of Course | Total Credit |
| I or II | Core Course | STPD6024 | 4 |
| III | Thesis Progress Evaluation (Research Progress) | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
Study Plan for Master of Science Programme

Department of Applied
Physics
✉️
kpJFG_siswazah@ukm.edu.my

Department of Chemical Sciences
✉️
kpJSK_siswazah@ukm.edu.my

Department of Biological Sciences and Biotechnology
✉️
kpJSBB_siswazah@ukm.edu.my

Department of Earth Sciences and Environment
✉️
kpJSBAS_siswazah@ukm.edu.my

Department of Food
Sciences
✉️
kpJSMn_siswazah@ukm.edu.my

Department of Mathematical Sciences
✉️
kpJSMt_siswazah@ukm.edu.my
This program is offered to address the challenging issues of quality and productivity in the industrial environment. The main courses offered range from total management techniques and their philosophy to product quality improvement and services with more emphasis on the application of the statistical methods. The main message is to make the consumers understand that the application of scientific methods and statistics will bring improvement to product quality and services.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
Public Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement
| Choose two (2): STQK6124 Process Control and Quality Improvement STQK6514 Quality Management in Service Sector STQK6264 Supply Chain Management STQK6544 Quality Design and System Reliability
|
| II | STQK6324 Service Delivery System in the Public Sector STQK6524 Productivity Measurement STQK6988 Research Project
| |
| Total Credit | 32 | 8 |
Manufacturing Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement | Choose two (2): STQK6264 Supply Chain Management STQK6514 Quality Management in Service Sector STQK6324 Service Delivery System In The Public Sector STQK6544 Quality Design and System Reliability |
| II | STQK6124 Process Control and Quality Improvement STQK6524 Productivity Measurement STQK6988 Research Project | |
| Total Credit | 32 | 8 |
Service Sector Module
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQK6114 Quality Assurance and Standardization STQK6534 Marketing Research Methods STQK6144 Organizational Performance Measurement | Choose two (2): STQK6124 Process Control and Quality Improvement STQK6264 Supply Chain Management STQK6324 Service Delivery System In The Public Sector STQK6544 Quality Design and System Reliability |
| II | STQK6514 Quality Management in Service Sector STQK6524 Productivity Measurement STQK6988 Research Project | |
| Total Credit | 32 | 8 |
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STQK6114 Quality Assurance and Standardization
This course aims at giving students knowledge on the quality system in an organization and its role in assuring quality in products and services. Topics that will be discussed include the Total Quality Control, ISO 9000 and its development, documentation and planning of quality system, quality assurance analysis techniques, and quality audits and accreditation. This course also exposes the students to Quality Management System (QMS) based on Islam perspectives and the Syariah principles in supporting and defining QMS MS 1900:2005. Next, the QMS MS1900:2005 is studied on its implementation in various sectors, and method that can improve their competitiveness by adding Islamic values and halal aspects in the process of producing products and providing services, and in the work environment.
STQK6124 Process Control and Quality Improvement
The aim of this course is to illustrate students the importance of process control and quality improvement based on 6Sigma concept and how to apply the 6Sigma methodology in order to identify customers and improve process in an organization. The application of 6Sigma will be divided into one general categories; i.e. in manufacturing and management. Topics that will be discussed include the understanding and definition of 6Sigma concepts and its steps, identification of critical factors for success, measurement strategies including measurement tools, analyze phase, control phase including some control charts such as multivariate charts, CUSUM, EWMA, decision barrier scheme and reliability test, reference measurement, break even analysis of the quality values, learning curve and process improvement.
STQK6134 Total Quality Management
This course introduces students to the concepts of Total Quality Management (TQM) from the aspects of history, philosophy, principles, needs, measurement, reports and its usage. Topics that will be discussed include the historical development of TQM; TQM philosophy, needs and principles of TQM; customer concentration, human resource management, process management, ISO 9000 and its development, documentation and planning of quality system, quality audits and accreditation, and benchmarking.
STQK6144 Organizational Performance Measurement
This course aims at giving students knowledge of the concepts of measuring an organization’s performance, either in public or private sector. Emphasize will be given on the questions of why performance measurement is an essential element in an organization and how it can be done. One of the performance principles that are important is the Key Performance Indicators (KPI) and its linkages to the organization’s strategic planning. Other performance principle that will be highlighted is the Balanced Scorecard (BSC) that measures performance in 4 major perspectives: Internal Process, Customer, Finance and Human Capital. Implementation aspects of BSC and its challenges will also be discussed. Several case studies will be presented in order to enhance the knowledge of students towards the performance measurement through BSC implementation.
STQK6264 Supply Chain Management
This course is an introduction to the supply chain concept and will explore the management of supply chains to improve an organization’s overall supply efficiency. Other concepts included are the definitions of supply chains, identification procedures, an overview of methods, processes, and systems that are used in the operation of supply chains, and the applications of methods, processes, and systems to improve supply chain performance.
STQK6324 Service Delivery System in the Public Sector
In this course, student will be exposed to the service delivery system of the government agencies. Students need to understand various policies, regulation and circulation about various types and level of public service released by the Public Service Department of Malaysia. The history aspects of the public service and its evolution in Malaysia also will be discussed. Among important approaches in the public service that will be discussed includes ‘Best Value Review’. Comparison with various service delivery systems from other countries, particularly from Australia, United Kingdom, USA and Canada will also be touched. Case study on the public service system in the government agencies will also be discussed
STQK6514 Quality Management in Service Sector
This course explains to students the definition of ‘customer service’ and ‘service excellence’, basis of service excellent and the importance of services excellent in an organization. The importance aspect is how an organization can manage the customer complaint and solve the problem that being complaint by the customer. It also discusses the barrier to service excellence. The aim of this course is also to introduce students the methods of Customer Relationship Management (CRM) which is one of the important business strategies for an organization which put customers as the main focus. Students will get to understand the meaning and concepts of CRM and its importance to any organization, especially business organizations. Implementation of CRM in an organization includes aspects such as customer profiling, customer data warehousing and customer data mining, and also problems often encountered whilst implementing it will be discussed. Other aspects are customer satisfaction measurement, customer loyalty, customer equity concept and value equity. The usage of information technology makes the implementation of automatic CRM easier and establishment of Call Centre or Customer Service Centre is also discussed.
STQK6524 Productivity Measurement
This course introduces the concept of measuring the productivity of a firm, which efficiently convert inputs into outputs. Productivity measurement is a way which provides an excellent medium to monitor the status of productivity, and to explicitly relate productivity to its other strategic objectives. Topics discussed include productivity indicators, Data Envelopment Analysis (DEA) method, Index numbers and Malmquist Index. Several applications of the DEA method and Malmquist Index will be discussed.
STQK6534 Marketing Research Methods
This course discusses the research in marketing. Students will be exposed to the scientific research methods in order to understand and be able to analyze any problem in an organization. Comprehension of problem statement, research issues, research design, collection and analysis of data will be discussed in detail. The best approach in producing an ‘Executive Summary’ will also be discussed. The use of SPSS statistical package to analyze data and the interpretation of the outcomes of the statistical analysis will be delivered to students. In this case, several concepts and statistical analysis techniques will be discussed using collected data from a selected real life problem.
STQK6544 Quality Design and System Reliability
This course explores how statistics is used for controlling quality of product design and the process in manufacturing industry and furthermore for reliability assurance in production system. Experiments done by most researchers from various fields will be made an example in teaching and learning of this course. The outcomes from the analysis of these experiments depend and rely on the factors (whether the factors are fixed or randomly chosen) and experiment errors. Data collected from the experimental design are not only important to be analyzed statistically but also the ability to interpret the results becoming more important for more established experimental design development having taken into account suitable errors and factors. The topics that will be discussed are design of experiments in quality improvement and control; analysis of variance, f-test, multiple comparison, completely randomised design, factorial design, orthogonality, optimal blocked and design; Taguchi quality definition, Taguchi method, signal-noise ratio, robust design, loss function and output tolerance, reliability and failure function; life time distribution, model selection and fitting; repairable systems; fault tree; life testing plan; accelerated life testing; failure rating models and regression.
STQK6988 Research Project
Research project is a compulsory course work involving case study/literature survey/research. The student is required to conduct the research study under supervision of a supervisor. The student is also required to select a pertinent topic as agreed to by the supervisor. The students are required to write up a comprehensive and scientific report on the study that he/she has conducted.
Our faculty currently offers 16 Masters Programmes by Coursework ranging from Biological Sciences and Biotechnology, Earth Sciences and Environmental, Applied Physics, Mathematical Sciences, Chemical Sciences and Food Sciences. All our programmes integrate the exploration of new knowledge for the creation of graduates who are learned, dynamic and guided by national aspirations in a minimum 1 year of study.
The Master of Science (Mathematics) program is designed to develop student’s ability to think more effectively, evaluate critically and focus on problem solving and achieve effective communication. The modules offered are Pure Mathematics, Applied Mathematics, and Management and Finance Mathematics. These modules are integrated outcomes which are based on human development and merging of knowledge to form future leaders of knowledge, society and industry.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
Pure Mathematics Module | ||
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQM6114 Topology STQM6124 Algebra STQM6134 Functional Analysis | Choose 3 courses – STQM6024 Biomechanics STQM6034 Decision and Game Analysis STQM6044 Cryptology STQM6084 Linear Programming STQM6064 Mathematical Modeling and Methods STQM6074 Numerical Analysis STQM6154 Network Science STQM6214 Fuzzy Mathematics STQM6234 Ergodic Theory STQM6254 Combinatorial Group Theory STQM6274 Measure Theory and Integration STQM6294 History and Philosophy of Mathematics STQM6324 Numerical Methods for Heat Transfer and Fluid Flow STQM6414 Dynamical System STQM6524 Linear Modeling of Non-Deterministic Dynamical System STQM6534 Fluid Mechanics STQM6624 Simulation
|
| II | STQM6224 Complex Analysis STQM6988 Research Project | |
| Total Credit | 28 | 12 |
| ||
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQM6414 Dynamical System STQM6074 Numerical Analysis STQM6534 Fluid Mechanics | Choose 3 courses – STQM6024 Biomechanics STQM6034 Decision and Game Analysis STQM6044 Cryptology STQM6084 Linear Programming STQM6114 Topology STQM6124 Algebra STQM6134 Functional Analysis STQM6154 Network Science STQM6214 Fuzzy Mathematics STQM6234 Ergodic Theory STQM6254 Combinatorial Group Theory STQM6274 Measure Theory and Integration STQM6294 History and Philosophy of Mathematics STQM6324 Numerical Methods for Heat Transfer and Fluid Flow STQM6524 Linear Modeling of Non-Deterministic Dynamical System STQM6624 Simulation |
| II | STQM6064 Mathematical Modeling and Methods STQM6988 Research Project | |
| Total Credit | 28 | 12 |
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STQM6024 Biomechanics
The course begins with the general equations of three-dimensional motion. The variables in these equations are explained and a summary on how these variables can be determined experimentally or theoretically is presented. The course will discuss selected methods for quantifying biomechanical data experimentally, which includes discussion on force measurements, accelerometry, measurement of motion with optical methods, electromyography, and strain measurement. The goal is to explain the principles involved in the experimental techniques, and to compare the different techniques. Next the course will discuss the place of mathematical modeling in biomechanics. The concept of force system analysis is discussed. The course will look into various mathematical models that were determinate. The indeterminate systems are also discussed as well, including solving it using optimization theory. Lastly the course discusses simulation as a tool of biomechanical research.
STQM6034 Decision and Game Analysis
This course aims at showing students that decision problems with limited number of alternatives can be solved by using decision analysis techniques. Instruments that are used to solve these problems depend on the type of problems. Analytic Hierarchy Process, ELECTRE and TOPSIS methods are used to solve problems with certainty. Decision tree is the best instrument to obtain solution for problems which involve probability. For decision problems with uncertainty, criteria that reflect decision maker’s attitude towards risks are used, while game theory is used to obtain the best decision for one competitors with contradicting goals, under each competitor’s worst condition.
STQM6044 Cryptology
This course serves as an introduction to some of the important topics of cryptology, which is the scientific study of hiding and breaking secret data. Students will be given an overview to the descriptions, theoretical bases, and rigorous protocols of security. This covers the theoretical foundation and mechanisms of symmetric encryption, public key encryption, digital signature, hash functions, message authentication codes, and some advanced topics in cryptology. For each of the cryptology topics discussed, its most common implementation will also be examined and presented for a better understanding. In addition, selected cryptanalysis will be introduced during the course.
STQM6064 Mathematical Modeling and Methods
Mathematical modeling is a process of building mathematical formulation for a physical phenomenon to gain better insights about it. The course intends to train the students in building, analyzing and solving mathematical models for certain complex problems (especially deterministic models of physics). Fundamental concepts of mathematical modeling will be explained. Dimensional procedures, approximation and dimensional analysis will be discussed first. Models introduced are linear and nonlinear. Analytical solution methods discussed include some of the followings: perturbation expansion technique, asymptotic method, transformations, special functions, Fourier series, calculus of variations and integral methods. The usage of computer algebra systems like Maple/Mathematica will be emphasized.
STQM6074 Numerical Analysis
This course covers numerical methods for solving ordinary/partial differential equations (ODEs/PDEs). The problems considered include initial value problems and boundary value problems for ODEs. Numerical methods discussed include one-step and multi-step methods with fixed or variable stepsize for stiff and non-stiff as well as chaotic equations/system of equations. Further, the topics covered include stability and error analysis. Introduction to numerical methods for PDEs such as finite difference/element methods. Analysis of hyperbolic and elliptic equations. Convergence, consistency, order and stability of methods. Applications to certain problems in engineering/science.
STQM6084 Linear Programming
The aim of this course is to introduce to the students the application of mathematical modeling methods for managerial decision makings. Several deterministic models will be discussed with a focus on how to model problems and derive solutions using LINGO computer software. Assignments in the form of case studies require students to use LINGO to obtain the solutions and write short reports. Among the topics discussed include linear programming, integer programming and goal programming problems, while emphasizing on the use of these methods in solving real world problems such as problems in network analysis, transportation and assignment problems, travelling salesman problems and efficiency analysis.
STQM6114 Topology
Topological spaces show up naturally in almost every branch of mathematics. This has made topology one of the great unifying ideas of mathematics. This course concerns with properties that are preserved under continuous deformations of objects that emerges through the development of concepts from geometry and set theory. The most basic and traditional division of topology namely point set topology will be considered.
STQM6124 Algebra
This course begins by reviewing back one main algebraic structures that is groups and rings together with some concepts related to both. This includes subgroup/subring, ideal, quotient group/ring and mapping of group/ring. Then the extension to polynomial ring and field is introduced. Various extensions of field to domain such as integral domain, Euclidean domain and unique factorisation domain. The embeddedment of domain into field leads to the construction of Galois group. This course ends with reviewing several selected articles on algebraic structures.
STQM6134 Functional Analysis
This course generalizes the study of linear algebra, in particular on finite and infinite dimensional vector spaces. This study is supported by various limit-related structures such as metric, inner product, norm and topology. Then it is added together with linear operators acting upon these spaces. The combination of algebraic and limit-related from new spaces namely Banach and Hilbert space. Thus, this course is basically the study of the properties of these spaces.
STQM6154 Network Science
This course introduces mathematical theories in network science. Network science is a multidiscipline field which investigate problems that can be understood through network approach. Among the aims of network science are to find cross-network equations and increase understanding of systems which are represented by networks through data analysis. The use of network science can be found in mathematics, social networks, biological systems and transportations.
STQM6214 Fuzzy Mathematics
This course introduces fuzzy set as a generalization of classical set. Basic operations on fuzzy sets: fuzzy complement, fuzzy union and fuzzy intersection. s-norm and t-norm. averaging operators. Fuzzy relations. Projection and cylindric extension. Composition of fuzzy relations. Linguistic variables. Fuzzy IF-THEN rule. Interpretation of fuzzy IF-THEN rule. Fuzzy logic and approximate reasoning. Fuzzy rule base and fuzzy inference engine. Fuzzy systems and fuzzy theory.
STQM6224 Complex Analysis
This course gives a view of basic analytic functions such as power series representations, Cauchy-Goursat’s theorem with various versions, maximum modulus theorem with various versions, conformal mappings, Riemann mapping theorem and Phragmen-Lindelof’s theorem. This course also introduces a theorem in analytic function space and shows the application of Runge’s theorem and Mittag-Leffler’s theorem. Harmonic functions including solutions to Dirichlet’s problem, singularities, Picard’s theorem and special functions such as the gamma functions, zeta functions and important theorems for entire functions are also introduced.
STQM6234 Ergodic Theory
Ergodic theory is a quantitative study of the long term behavior of a system. The collection of all states of a system constitute a space X and the evolution of the system is represented by a transformation whereby if x represents the state of the system at one particular time, then T(x) represents the state of the system after one unit of time. A study will be conducted on X which is a measure space (and T measure-preserving) and topological space (with T continuous). The main objective is to understand as Tn increases.
STQM6254 Combinatorial Group Theory
The course aims to display geometrical techniques and ideas to study free groups and group presentations, basic to the combinatorial group theory. Variety of equivalent classes will be discussed and related groups will be constructed using various geometrical techniques. Geometrical techniques discussed include graph, group of graph, complexes, picture and diagram. Then several selected and latest articles will be discussed.
STQM6274 Measure Theory and Integration
Firstly the idea of σ-algebra is introduced. Next a measure is defined as a real valued function with domain σ-algebra. Next outer measures is discussed (including metric outer measures) and with it is defined measurable sets, abstract measure spaces, measurable functions and convergence measurable functions. Using these concepts, properties of integrable functions, convergence theorems, spaces and important inequalities are discussed. Examples of definite integrals like Riemann integral, Lebesgue integrals and Lebesgue-Stieltjes integrals will be briefly discussed. Finally the concept of measures is extended to sign measures, complex valued measures and integration on product spaces.
STQM6294 History and Philosophy of Mathematics
This course will deepen the history and philosophy of mathematics in various aspects. Topics to be discussed include mathematical reality from metaphysical, epistemological, logical and axiological aspect will be examined together with the relationship between mathematics and belief systems. History and philosophy of the Islamization of knowledge and the indigenization of knowledge will also be discussed.
STQM6324 Numerical Methods for Heat Transfer and Fluid Flow
This course will present heat transfer and fluid flow models and their numerical solutions. The course begins with heat transfer and fluid flow model formulations. Steady and unsteady heat conduction up to three dimensions will be discussed. Next, the course discusses Crank-Nicholson method, steady and unsteady convection and diffusion up to three dimensions, and their numerical solution schemes include hybrid and power laws. Flow regimes and numerical solution methods will also be presented.
STQM6414 Dynamical Systems
The course aims to introduce basic concepts in discrete-time and continuous-time dynamical systems. These include discussion on some topics such as locally property, stability comprises structural stability, hyperbolic and homoclinic point, strange attractor, Lyapunov exponent etc. Some other concepts such as bifurcation, chaos and fractal will also be explored.
STQM6524 Linear Modeling of Non-Deterministic Dynamical System
This course is designed to exhibit the capability to model the dynamical system with non-deterministic condition as a stochastic process which fulfills the linear stochastic differential equations. It, furthermore can lead to the stochastic integral. This includes various Newtonian dynamical systems with noise, planning of monitoring system, management and screening of information. From this model, the definition of the concept of stochastic process is exhibited and in addition the analytical and numerical Ito’s Stochastic Calculus is constructed to solve the mentioned model. The relationship between the stochastic differential equations and the diffusion process is discusses to the research boundary.
STQM6534 Fluid Mechanics
The aim of this course is to show how the ideal and viscous fluids can be modelled mathematically, and further, to investigate the behaviour of the fluids analytically and numerically, especially towards the Navier-Stokes equation. This course starts with general introduction to fluid and the principle of fluid static and kinematic. Discussion on ideal fluid includes continuity, Euler and Bernoulli equations. Potential flow and incompressible flow will also be discussed. Most parts of this course discuss viscous fluid, which leads to Navier-Stokes equation, its derivations and exact solutions, as well as steady and unsteady flows. Basic flows, Stokes flow, laminar and turbulent flows, dimensional analysis, similarity method as well as Reynolds number and its importance will also be discussed. In addition, boundary layer theory and fluid instabilities will also be discussed in detail.
STQM6624 Simulation
This course introduces the students to the concepts and usage of simulation systems. It aims to enable the students to quickly perform modelling, simulation and analysis on simple but representative systems, as well encourages the students to further investigates the results experimentally. Simulation model; static, discrete and dynamics systems are discussed. Topics include system concept, modelling, simulation and analysis of various systems especially those that are related to Excel, @Risk and Arena. The science of managing simulation projects are discussed.
STQM6988 Research Project
Research project is a compulsory course, which is either a practical training, an industrial training, a literature review or a research. Every student does this project under the supervision of a supervisor. Each student must choose a suitable topic within his/her programme module and it must be approved by the supervisor. The student must complete a report, which is either a critical review to the selected topic, a new theory or a new model in its own way
Statistics is an area of study that deals with the collection, classification, analysis and interpretation of data to explain reality based on the scientific method. The Master of Science Programme (Statistics) offers several courses in statistics, suitable for students who want to further their education in this area. The programme emphasizes on the theory and application of statistics so that students would master the statistical knowledge and able to apply it.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Core Course | Elective Course |
| I | STPD6024 Research Methodology STQS6034 Statistical Inference STQS6274 Statistical Computing STQS6584 Statistical Modeling | Choose two (2): STQS6064 Medical Statistics STQS6094 Sampling Techniques STQS6244 Stochastic Process STQS6284 Multivariate Analysis STQS6424 Nonparametric Methods STQS6444 Time Series Modelling and Forecasting
|
| II | STQS6234 Bayesian Inference STQS6254 Design and Analysis of Experiments STQS6988 Research Project | |
| Total Credit | 32 | 8 |
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STQS6004 Calculus and Matrix Algebra for Statistics
The aim of this course is to introduce students to the use of calculus and matrix algebra in the field of statistics. The concept of limit is given intuitively. The concept of differentiation, rate of change and problem of extremum are discussed. Integration as anti derivative and several integration techniques are discussed. Various basic concepts about matrices are given: inverse, transpose, determinant, trace, quadratic form and orthogonal. Various basic concepts about vectors are discussed: vector, linearly dependent and not linearly dependent, eigen values and eigen vectors. Introduction is given on generalized inverse and partitioning of matrix. Several examples for linear model are given.
STQS6014 Mathematical Statistics
The aim of this course is to introduce students to the concept of statistical thinking and tools. The concept of random variables and several distribution functions. Distributions function of random variables and the techniques to identify the particular distribution: distribution function technique, transformation technique and moment generating function technique. Bivariate and multivariate distribution are discussed in the aspects of joint densities, joint distribution function, marginal distribution, conditional distribution, independence between random variables, conditional expectation and correlation coefficient. Chebyshev theorem and bivariate normal. Order statistics and sampling distribution. Several distributions related to normal distribution such as t distribution, Chi-square and F. Law of large numbers and central limit theorem. Methods of point estimation, maximum likelihood technique and method of moment. Point estimation and interval estimation involves estimation of one population parameter and one population parameters. Hypothesis testing covers one and one populations.
STQS6024 Modeling and Data Analysis
The aim of this course is to introduce students to the practical use of statistical software in doing statistical tests. The topics covered are test of hypothesis, error measurement, power of the test, test to compare means such as t test, analysis of variance (ANOVA), analysis of covariance (ANCOVA); goodness of fit test for distributions; test for linear relationship which covers correlation, simple regression and multiple regression as well as introduction to the analysis of residuals. Several related topics on nonparametric statistics will also be discussed.
STQS6034 Statistical Inference
The aim of this course is to enhance understanding of students in the theory of statistics, point estimations and the properties of the estimators. The properties discussed include efficiency, unbiasedness, minimum variance unbiased estimator, sufficiency and completeness. Rao-Cramer Inequality and Rao-Blackwell Theorem are discussed. The estimation methods studied include maximum likelihood, method of moment and least square. Asymptotic evaluations of the estimators are also covered. Various topics under hypothesis testing such as best critical region and likelihood ratio are also discussed.
STQS6064 Medical Statistics
Several important statistical concepts in medicine are discussed in detail. Basic analysis methods will be examined including the evaluation of the diagnostic tests. Topics that will be discussed are risk, relative risk, odds and odds ratio, prevalence and incidence, attributal risk, confounding and interaction, detection of and adjustment for confounding effects. Observational studies such as cohort studies, control-case will be covered; intervention methods; sample size determination. Other topics discussed are modelling in medicine, classical linear model, logistic model and survival model.
STQS6094 Sampling Techniques
This course introduces sampling designs and the related theories. The discussion will begin with various important statistics obtained from surveys and the necessary measures for initiating a survey. Simple random sampling will be discussed in detail, the theory, practical aspects, and mathematical derivations. Estimators and the properties will be studied mathematically and supported using computing techniques. Stratified sampling will be explored in details – include mathematical derivation, computing and the practical aspects. Simulation methods will be utilized for data generation and for investigating the properties of the estimators. Single and one stages cluster sampling will also be studied. Similar approaches as used for stratified sampling will be implemented in investigating the properties of estimators produced by cluster sampling. This course covers sampling design for wildlife population and spatial sampling.
STQS6234 Bayesian Inference
This course introduces to the students on Bayesian’s theories. Bayesian inference for normal distributions is also discussed. Other than that, Bayesian inference for distributions other than normal, for example Binomial and Poisson is also explained. Other topics include hierarchical Bayesian model, empirical Bayesian, hypothesis testing, correlation, regression and analysis of variance.
STQS6244 Stochastic Process
The aim of this course is to introduce the students to the theory of stochastic process. Among the topics to be discussed include discrete and continous time Markov chain. This include subtopics regarding the Chapman-Kolmogorov equation, Birth and Death process, limiting probabilities and some important properties of Markov process. Other topics to be discussed include the Poisson process and the Renewal process which include the subtopics of Homogeneous and Nonhomogeneous Poisson process, compound Poisson Process, decomposition of Poisson Process, Renewal equation, mean-value function, limit theorem and etc. The students will also be expose with the topics of Reliability theory, Brownian motion and the aplication of Markov Chain Monte Carlo method.
STQS6254 Design and Analysis of Experiments
The aim of this course is to explain the role of statistics in the scientific method which is a prerequisite to design an efficient experiment. This course will cover the basic principles of experimentation; randomization, and replication. RRL & one-way ANOVA; linear contrasts; underlying assumptions in ANOVA; analysis of residuals; additivity and interaction; transformation of data to satisfy ANOVA assumptions; block design; incomplete block design; properties of orthogonality and balance; rule of assignment of treatments in blocks; 2n factorial designs; blocking and confounding in factorial experiments; fractional factorial designs; confounding systems and aliases; design resolutions. Other topics covered will be fractional factorial designs; response surface methodology; and covariance analysis.
STQS6274 Statistical Computing
Students will be equipped with sufficient computing knowledge that useful for data analysis and statistical inferences. For these objectives they are given programming skills using R. Utilizing the skills the students will be trained to write function for obtaining various statistical summaries, empirical distribution, nonparametric measures using quantiles and the quantile based distribution summaries. In addition the students will also be exposed to various methods for simulating random data. R computing for classical and Bayesian statistical inference will be discussed. All the discussions are data and practical problems based. Re-sampling techniques for statistical inference – bootstrap and jackknife, order statistics will be explored together with testing hypothesis using permutation and Monte Carlo methods.
STQS6284 Multivariate Analysis
This course introduces the nature of multivariate as compare to univariate data. The practices of univariate data analysis are extended to multivariate data. Estimation theories and statistical inferences for multivariate distributions will be covered. Multivariate methods such as multivariate analysis of variance, principle component analysis, factor analysis, canonical correlation analysis, discriminants analysis and cluster analysis are explained. The mathematics, computing and data analysis will be integrated in the course.
STQS6424 Nonparametric Methods
This course begins with introducing students to the basic assumptions behind non-parametric methods. Topics discussed include the rules for one sample, one dependent samples and one independent samples; normal approximation to such tests; tests for three or more samples; tests for flow and correlation; trimmed data analysis; Kaplan-Meier test and Mann-Whitney test itlak Gehan; and non-parametric butstrap methods. Other topics include some methods of smoothing and model matching.
STQS6444 Time Series Modeling and Forecasting
The objectives of this course are estimating simple regression models, explaining the techniques for modeling trend and volatility in time series data, explaining the cointegrating relation between one or more time series, and at the same time highlighting several major issues in time series analysis that are related to stationarity, trend, volatility, and cointegration. In particular, for modeling trend and volatility, the focus will be on the ARCH-GARCH models. As for cointegration, the error-correction mechanism and the Johansen approach will be discussed. At the end of the semester, the students will be required to write one short report on the application of statistical testing methods and model analyses that are covered during the semester.
STQS6584 Statistical Modeling
This course begins by introducing the concept of modeling through simple linear regression, multiple linear regression and nonlinear regression where error terms is assumed to be normally distributed. Diagnostic checking on fitted model and model assumptions will be further discussed. The course continue to model where the normality assumption is not met. Students will be exposed to the concepts of generalized linear model such as logistic models, Poisson and log-linear models. The concepts of maximum likehood estimation, likehood ratio test and the concept of deviance will be introduced.
STQS6988 Research Project
Research project is a compulsory course work involving case study/literature survey/research. The student is required to conduct the research study under supervision of a supervisor. The student is also required to select a pertinent topic as agreed to by the supervisor. The students are required to write up a comprehensive and scientific report on the study that he/she has conducted.
UKM is one of the pioneers in this field since 1999. The fundamental core knowledge in this programme includes Occupational Safety Management System, Risk and Hazard Assessment, Explosive and Fire Safety, Ergonomics, Organizational and Industrial Psychology, Radiation and Chemical Safety, Mechanical and Electrical Safety, Biological and Environmental Safety, and Environmental and Industrial Law. Course content is delivered to students through lectures, practical, fieldwork, industrial visits and research projects. Course assessment is carried out in the form of examination and quizzes, assignments, practical reports, fieldwork reports, research project reports and oral presentations. This programme is offered in executive mode and only offered once in each academic session. It is carried out in the semester system, which is 3 semesters executed on weekends. Students are required to register and pass core courses which overall carries 40 notional credits.
Study Duration
Minimum 3 semesters (1½ year)
Maximum 4 semesters (2 years)
*Classes on weekends
Intake
Intake – every October
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STSI6013 Industrial and Environmental Laws STSI6053 Hazard Identification and Risk Assessment STSI6033 Occupational Safety Management STSI6073 Fire Prevention, Explosion and Toxic Release | 12 |
| II | Core Course | STSI6043 Advance in Industrial and Organizational Psychology STSI6023 Occupational Health Management STSI6063 Ergonomic STSI6024 Research Project I | 13 |
| III | Core Course | STSI6153 Electrical and Mechanical Safety Management STSI6173 Management of Chemical and Radiation Safety STSI6193 Environmental and Biology Safety Management STSI6116 Research Project II | 15 |
| Total Credits | 40 | ||
STSI6013 Industrial and Environmental Laws
This course discusses the legal aspects and regulations of industrial safety at the work place. But before the discussion of the related legislation, student will be exposed to the Malaysia Legal System in general. The obligations of the employers and employees pertaining to safety at the work place will be discussed. The environmental law aspects will also be taught.
STSI6053 Hazard Identification and Risk Assessment
This course will focus on the hazard systems, methods for hazard identification, consequence modelling from hazard and determination and risk assessment. Major topics to be covered in this course are Hazard and Hazard System, methods for Hazard Identification and Risk Assessment. Among hazard identification techniques that will be covered are Checklist, What-If, Hazard Rating, Failure Mode and Effect Analysis, Hazard and Operability Study, and Fault Tree and Event Tree Analysis. While for risk assessment, topics will be discussed on consequence modelling, category of risk recipients, qualitative risk assessment and quantitative risk assessment.
STSI6033 Occupational Safety Management
This course will focus on important aspects in general occupational safety and health management system especially ISO 45001, OHSAS 18001 and MS 1722. The discussion will cover the topics of planning, implementation, inspection and action (PDCA) in the implementation of the organization’s occupational safety and health management system. At the same time formulation of occupational safety and health policies, organization and arrangements aspects are also emphasized in this course. The occupational safety and health aspects will be discussed by also incorporating existing legal requirements such as OSHA Act 1994 & Factory Machinery Act 1974. All discussions are based on the principles of self-regulation to ensure efficient management and continuous improvement.
STSI6073 Fire Prevention, Explosion and Toxic Release
This course will show full picture of concept regarding fire prevention, explosion and toxic release. The topics that will be discussed is related to fire base principle which become the main source of fire tragedy, explosion and toxic release. Even though explosion and toxic release probably will happen without fire but it must eventually create fire at the end. Then, further discussion will be focused on introduction to fire prevention, explosion and toxic release and how to do prevention including the management issue such as safe working procedure and safety planning. Finally, this course will exposed regarding the necessary emergency action plan and investigation on fire and explosion.
STSI6043 Advance in Industrial and Organizational Psychology
This course will focus on two areas of Industrial and Organizational Psychology aimed at improving the individual performance, productivity, safety, health and the physical and mental well-being of workers. Industrial psychology, also known as Personnel Psychology is related to the process of personnel selection, job analysis, performance management, cognitive ability and cognitive failure, training and development. The topics of organizational psychology include job motivation, organizational communication, effective leadership, personality and organizational behavior. In addition, some of the key topics related to occupational health psychology such as workplace well-being (eg mental health, quality of work, family work conflict, psychological well-being) stress and stress management, interventions in occupational health psychology and promoting Employee Assistance Program is an important institution in the management and development of human resource for the safety and health officer.
STSI6023 Occupational Health Management
This course basically covered diagnosis, prevention, treatment and rehabilitation of work-related diseases which result from biological, physical, chemical or psychological factors in the workplace. Management of Occupational diseases are emphasized.
STSI6063 Ergonomic
This course highlights important issues with regards to Occupational Safety and Health regulations to the human operator/worker when designing equipment and workplace environment. This course discuss anthropometry applications in designing workplaces that fit the human (i.e. sitting height, neck and head postures, movement envelopes). It begins by defining the areas of concern in ergonomics (e.g. the human-machine interface, the displays to be perceived and the controls to be actuated). It also discusses issues concerning environmental ergonomic principles with regards to proper lighting, noise, and thermoregulation of the workplace. Finally, it also covered occupational stress, boredom and physical/mental fatigue, capabilities and limitations of the human operator/worker during performing manual material handling tasks. Besides, application of equipment for measuring noise and light also will be discussed.
STSI6153 Electrical and Mechanical Safety Management
This course will focus on the hazard systems, methods for hazard identification, consequence modelling from hazard and determination and risk assessment. Major topics to be covered in this course are Hazard and Hazard System, methods for Hazard Identification and Risk Assessment. Among hazard identification techniques that will be covered are Checklist, What-If, Hazard Rating, Failure Mode and Effect Analysis, Hazard and Operability Study, and Fault Tree and Event Tree Analysis. While for risk assessment, topics will be discussed on consequence modelling, category of risk recipients, qualitative risk assessment and quantitative risk assessment.
STSI6173 Management of Chemical and Radiation Safety
This course provides a general overview of chemical and radiation (ionising and non-ionising) safety management aspects. Chemical safety management focuses on the classification of chemicals, the asssociated risk, safety data sheet (SDS) and chemical safety management during normal handling, emergency, transport, storage and waste disposal. Lectures focus on highlighting the direct inter-relation of the total spectrum of chemical safety management with the requirements of the Control of Industrial Major Hazard Regulations 1996 (CIMAH 1996), Classification, Labelling and Safety Data Sheet of Hazardous Chemicals Regulations 2013 (CLASS 2013), Use and Standard of Exposure to Chemical Hazardous to Health Regulations 2000 (USECHH 2000) and Notification of Accident, Dangerous Occurrence, Occupational Poisoning & Occupational Disease Regulations 2004 (NADOPOD 2004). Ionising radiation safety is divided into radioactivity and radiation sources, effect of ionising radiation on humans, exposure, radiological safety management, responsibilities of the Radiation Protection Officer (RPO), emergency response plan, radiation protection program and the Act 304. Application of radiation measurement equipment will also be demonstrated either using video or hands-on. Meanwhile, non-ionising radiation safety focuses on the safety aspect of ultraviolet (UV), infrared (IR), LASER, microwave (MW), radiofrequency (RF) and extremely low frequency (ELF).
STSI6193 Environmental and Biology Safety Management
This course discusses and focusses on the important aspects of environmental and biological safety, with emphasize on mitigation steps. These aspects include the type of pollution caused by toxic and hazardous solid waste and wastewater, their impacts on human health, environmental safety, related legislations, measurement and analysis of the pollution level, steps to prevent or minimize environmental impacts and methods to treat waste or wastewater. Students will be exposed to the environmental law. The obligations of the employers and employees pertaining to biosafety at the workplace will also be discussed.
STSI6024 Research Project I
This course aims to educate the tudent to analyze a specific topic to study in the ccupational safety and health field through reading and guided self-research. Students are required to prepare literature studies for the specific chosen topic, and prepare a proposal that will be carried out in STSI6016 Research Project II. Students will be asked to do literature reviews and relate the design and proper research methodology with industrial problems.
STSI6116 Research Project II
This course aims to offer students an experience in carrying research work on certain chosen topic of interest under supervision of a lecturer or a group of research team. The research can be done experimentally or analytically. Students are required to prepare an educational report in form of research dissertation showing all research outcomes and also to defend the research work verbally.
Applied Physics is a field that studies of both classical and modern physics and combines it with topics on most recent applications of these principles. It is the science which has made possible the design and operation of many everyday components including computer chips, lasers, solar collectors, medical equipment, sensors and mobile phones.
The curriculum of the graduate program in Applied Physics consists of core courses and elective courses. The core courses are designed to provide students with the fundamentals of physics and skills in computing, mathematics and instrumentations. The electives which can be taken from a range of topics are designed so that students can develop their own course of study according to their interests. A research project is required to be undertaken throughout the duration to provide the experience of doing independent research under the supervision of the department academics. The research project focuses on applying physics to scientific and technological problems. The research project starts by conducting extensive literature review, followed by performing experiments and preparing a research report.
This programme is designed to develop professionals with broad capabilities appropriate for careers in technical research or advanced graduate study. It provides valuable graduate training and research project experience sought after by industry, government and R & D organizations.
The area of research and expertise of academics in the Department of Applied Physics are including material science, solid-state physics, the physics of thin films devices, the physics of medical radiations, space science, and theoretical and computational physics.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STSP6014 Method of Instrumentation Analysis STSP6033 Advanced Mathematical Methods STSP6053 Advanced Electromagnetism STSP6972 Research Project I | 16 |
| Elective Course | STSP6113 Physical Metallurgy STSP6133 Biomaterials STSP6153 Materials and Composites Technology STSP6173 Science and Technology of Agro-Materials STSP6773 Modification of Wood STSP6333 Thin-Film Technology STSP6713 Statistical Mechanics ** Course offer is subjected to the number of students. | Choose 4 courses – Total: 12 units | |
| II | Core Course | STAB6673 Molecular Entomology STAP6986 Research Project II | 9 |
| Elective Course | STSP6123 Advanced Polymer STSP6163 Corrosion Control and Monitoring STSP6323 Superconductor and Magnetism STSP6343 Nanotechnology STSP6383 Sensor and Systems STSP6743 Space Physics ** Course offer is subjected to the | Choose 4 courses – Total: 12 units | |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STSP6014 Method of Instrumentation Analysis
This course discusses several techniques and designs of experiments regarding the characterization methods in research and industry. Topics to be discussed are analysis of structure and microstructure which include compositional analysis, investigation of structure and morphology of surfaces by using X-ray fluorescence (XRF), X-ray diffraction (XRD) and electron microscopy techniques. A number of techniques for material characterization such as X-ray photoemission spectroscopy (XPS), Fourier transform infra-red (FTIR) spectroscopy, Raman spectroscopy, impedance technique, thermal analysis and mechanical analysis are also discussed. Methods of sample preparation for the respective technique of analysis are also introduced.
STSP6023 Applied Quantum Mechanics
(Prerequisite : Quantum mechanics at undergraduate level)
This course is designed to be the third in the sequence of required graduate quantum mechanics courses. Prerequisites are the successful completion of STSF2223 and STSF3213 or their equivalents. This course builds upon the core formalism, concepts, and techniques of quantum mechanics. Solutions to Schrodinger’s equation for various potentials. Application of quantum mechanics in metal physics, semiconductors (e.g quantum wells), low dimensional materials and superconductors. Interpretation of Quantum Mechanics and foundational problems : Copenhagen Interpretation, Consistent Histories, Parallel Universe, De Broglie-Bohm and Qubism. Entanglement theory, decoherence theory and quantum teleportation. Application of decoherence theory and entanglement in photonics, spintronics, quantum biology and nanotechnology.
STSP6033 Advanced Mathematical Methods
This course is designed to introduce first-year graduate student to mathematical concepts and tools needed for research, and more advanced math courses. Some of the topics to be covered are vector fields, deformed Cartesian system and curved coordinates. Topics in complex variable, surface Riemann, Cauchy theorem, Taylor and Laurent series, residue theorem and conformal mapping are covered. Green’s function and tensor application in physics are discussed and includes Cartesian and kronecker delta and Levita-Civita tensor, tensor derivatives and covariant and contravariant representations and first and second order Christoffel symbols.
STSP6043 Advanced Computational Physics
This course aims to introduce the usage of computational language in solving physics problems after exposing the students to fundamental concept of the language. Among the techniques that will be applied are modeling, simulation, numerical techniques and visualization. The course is therefore delivered as formal class lectures and programming exercises in the computer laboratory. Examples of topics that will be applied are space physics, astrophysics, electromagnetic field and mechanic quantum.
STSP6053 Advanced Electromagnetism
(Prerequisite: Electromagnetism at undergraduate level)
This course will discuss the methodology of information processing using electromagnetic waves, electromagnetic materials and electromagnetic devices. This course is conducted by classroom lectures and the main topics cover: Basic electromagnetic theory, special relativity in electromagnetism, Maxwell equations, tensor analysis and pseudo-tensor in electromagnetic materials, retarded potentials, Interaction of electromagnetic waves with charged particles, Lagrange formulation, Gauge transformation, monopole and multiples, application of electromagnetism in solid state, classical optics, radiation theory and telecommunication.
STSP6113 Physical Metallurgy
This course discusses topics on solidification, heat treatment, advanced alloys and metal processing. Thermodynamic and kinetic of solidification is discussed. Types and techniques of heat and mechanical treatments and their effects on metal defects and properties are also discussed. This course also introduces advanced alloys i.e. light alloys, high temperature alloys, shape memory alloys, biomaterial alloys and super plastic alloys. Metal and alloy processing methods and their relation to properties and application of the metal and alloy products is also highlighted.
STSP6123 Advanced Polymer
The course will cover an introduction of polymer, properties and processing technique of various types of polymeric materials. The main topic of discussion will focus on types of advanced polymer, properties, applications, its specialty, advantages and processing methods. The details of the discussion will be based on the latest category of advanced polymer.
STSP6133 Biomaterials
The course will discuss various biomaterials which can be substituted as biological materials of the human body. The topics of discussion will cover polymeric materials as biomaterials, their characteristics, applications and processing technique. The discussion will continue with bio-ceramic which will be focusing on basic composites of ZrO2, Al2O3 and other oxides system in the human body. The course will also discuss hydroxyl apatite, its properties, preparation technique and latest applications of the materials. The applications of biomaterials will be also highlighted on materials used in dental and orthopedic implants. The final parts of the course will discuss the mechanical and biological suitability tests.
STSP6153 Materials and Composites Technology
An introduction of this course will highlight on types of composites, properties, manufacturing process and its applications. The main topics of discussion will cover types of fibers and matrix, polymer matrix composites (PMC), metal matrix composites (MMC) and ceramic matrix composites (CMC). The analysis of micromechanics, micromechanics and interface will also be discussed. The course will also highlight the latest technology of composites manufacturing and fabrications.
STSP6163 Corrosion Control and Monitoring
This course introduces corrosion control techniques, namely materials selection, alteration of environment, product design, coatings, and cathodic and anodic protection. The discussion on corrosion control techniques will cover principle and mechanism and also the related equipment. The suitability of corrosion control techniques over types of corrosion is also discussed. Corrosion monitoring techniques that will be discussed include non-destructive testing techniques, electrochemical techniques and nuclear techniques. The important of corrosion control and monitoring in terms of safety and economics are also discussed.
STSP6173 Science and Technology for Agrobased Materials
The course will cover the raw materials, lignocelluloses based from agriculture industry (agro industry) available in Malaysia such as rice, kenaf, sugar cane, coconut, oil palm, pineapple, banana and forest products from hardwood and non woody and bamboo. The course will emphasis on the preparation of lignocelluloses materials from these raw materials. The course will discuss the manufacturing process of pulp, paper, medium density board (MDF), oriental stand board (OSB), particle board, plywood, wood plastic board and cement board. Chemical modification on fibred will be emphasised in order to improve the fibred chemical interaction. The chemistry and types of adhesive and coating, surface modification and bonding will be discussed.
STSP6323 Magnetism and Superconductivity
This course covers one topics; first on magnetism and the second on superconductivity. Topics on magnetism include magnetic materials, diamagnetic, paramagnet, ferromagnet, ferromagnetic, antiferromagnet, domain theory and magnetization processes, measurements, preparation methods and applications. Topic on superconductivity include basic phenomenon, superconducting materials, type-I and Type-II superconductors, phase transition, Ginzburglandau theory, Abrikosov vortex, BCS theory, energy gap, isotope effect, Josephson tunneling, SQUIDs, high-temperature superconductors, anisotropy, structure, phase diagram and applications of superconductors.
STSP6333 Thin-Film Technology
This course is divided into 3 parts which are related to the theoretical and technical aspects of preparation, application and characterization of thin films. The course begins with the introduction to physics of thin films which cover topics such as formation process and structure of thin films. Next, the technique of preparation such as evaporation, sputtering and spin coating will be discussed. The thin films characterization covers the thickness of the film, physical structure, surface morphology, electronic structure and chemical composition. Other properties such as mechanical, electrical, optical and magnetic properties will also be deliberated followed by discussion on various applications of thin films either in passive or active form including devices. Finally each student must present a seminar on the topics related to recent development in thin films.
STSP6343 Nanotechnology
This course discusses topics on electronic, magnetic, mechanical and optical changes that occur when bulk materials of nonconductors, semiconductors and metals becomes nanosized. Methods to reduce bulk to nanosize materials both by top down and bottom up approach is discussed exemplified by physical methods ( laser ablation, ball mill, plasma deposition) and chemical methods (sol-gel, micelle and microemulsion templating, mechanochemistry and sonochemistry). Characterisation of nanomaterials by AFM (Atomic Force Microscopy), SNOM (Scanning near-field Optical microscopy), UV-Vis spectroscopy, TEM (Transmission electron microscopy), XPS (X-ray spectroscopy) and other techniques are discussed. Some thermodynamics aspects of nanomaterials are discussed especially its non-extensive aspects. The relationship between changes in nanomaterial properties due to environmental effects are related to applications in sensors and nanofluids. Students might be ask to present a seminar on recent findings in Nanotechnology.
STSP6383 Sensors and Systems
Introduction, Classification of sensors and actuators, sensing and actuating strategies, general requirements for interfacing and actuation, sensing, transduction, actuation. Performance Characteristics of Sensors and Actuator, Optical sensors-Photodiodes, phototransistors and photo resistors based sensors, Photo multipliers, light-to-light detectors, Infrared sensors, Temperature Sensors-Thermoresistive sensors: Thermistors, Resistance temperature sensors, Silicon resistive sensors, Magnetic and Electromagnetic Sensors and Actuators, Mechanical Sensors-Accelerometers (capacitive, piezoelectric, piezoresistive, thermal), Force sensors (strain gauges, tactile sensors), Pressure sensors (semiconductor, piezoresistive, Acoustic Sensors and Actuators, Chemical Sensor-Electrochemical, Thermo-chemical, ChemFET, Gas, pH, Humidity, moisture and Optical -chemical, Radiation Sensors.
STSP6713 Statistical Mechanics
This course discusses topics on statistical ensembles (microcanonical, canonical ,grand canonical , and mixed ensemble), partition function and free energies for these ensembles and their use in deriving thermodynamic quantities. Mayer functions and some models of liquids using hypernetted chain equations. Fluctuation dissipation theorems. 2-d and 3-d Ising model. Phase transitions theory and their characterization using Ising models. Landau-Ginsburg models applied to magnetic , liquid crystals and solids. Superfluidity, superconductivity and Bose-Einstein condensate. Thermodynamics application in X-ray and light scattering and statistical mechanics of fluid membranes. Non-extensive thermodynamics (nanothermodynamics) in low dimensional materials.
STSP6743 Space Physics
In this course, students will be introduced to several space physics domain such as the Sun, solar wind, Earth’s magnetosphere, geomagnetic field and Earth’s ionosphere. Students will be exposed to basic knowledge of each domain, their profile including definition, general and specific characteristics as well as the early finding or experiment. Apart from that, students will learn and able to access data and index of all domains including manipulation of model and introduction to equipment for observation. Finally, discussions of latest research in space physics area and overview of current issues will be conducted. Several presentations and discussion will be conducted throughout the course.
STSP6773 Chemical Modification of Wood
The course will discussed on chemistry of lignocellulose-bioresource mainly with chemical constituent of cellulose, lignin and hemicellulose. Cellulose chemistry which consists of cellulose I,II,III and IV will be highlighted. Chemical reaction of cellulose with main chemical reagent involve the reaction of hydroxyl group in cellulose with the chemical reagent involve which be focus on preparation of cellulose derivatives and regenerated cellulose. While lignin chemistry of lignin will show the differentiation between the HGS monomer from different species. Reaction of lignin with the suitable chemical for the preparation of adhesive and adhesion together with composite materials will be discussed. Hemicellulose which is polymer consist of various types of fine sugar monomer depending of different wood species. The discussion will cover the utilisation of these fine sugar into levulinic acid, methanol etc for bio fuel.
STSP6972 Research Project I
This course is aimed at training students to study specific topics through extensive readings and guided research. Students are required to prepare a literature survey of a chosen topic.
STSP6986 Research Project II
This course offers student the opportunity to do research on specific topics of interest under the supervision of one or a group of supervisors. The research can be conducted experimentally or analytically. Students are required to prepare a dissertation report on the research and will be asked to defend the results orally.
Programme of Management of Plant Genetic Resources is carried out as an international level programme with cooperation from the Bioversity International, with the aim of providing theoretical expertise and pertinent practicals required for the sustainable management of plant genetic resources. Educational expertise of the faculty will be complemented by the vast experience of leading national research institutions such as Forest Research Institute Malaysia (FRIM), Malaysian Palm Oil Board (MPOB), Malaysian Agricultural Research and Development Institute (MARDI), Malaysian Nuclear Agency (Nuklear Malaysia), and Malaysian Rubber Board (MRB), and their experienced staff will provide the relevant inputs in conducting this course. The strong collaborative element between the university and the national research institutions will bring in flexibility and practicality in the approach to training, and consequently will ensure the success and also increase the relevance of the training. This programme is also designed to attract working professionals with intention to increase their scientific knowledge for research and teaching.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAP6073 Environmental Management System STAP6043 Plant Diversity and Systematics STAP6974 Research Project I | 14 |
| Elective Course | STAB6903 Diversity of Plant Genetic Resources STAB6924 Advanced Plant Biotechnology | 7 | |
| II | Core Course | STAP6033 Biogeography STAP6986 Research Project II | 9 |
| Elective Course | STAB6013 Conservation Biology STAB6143 Economic Botany and Ethnobotany STAB691 Plant Breeding | 7 | |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAB6013 Conservation Biology
The Earth is now in a critical period for the survival of its natural ecosystems and their plant and animal members. Conservation biology is a multidisciplinary science that has been developed to deal with this crisis. Conservation biology is not just about maintaining viable populations of all species. Conservation is also about moral philosophy, social justice, economics and politics. The course will be divided into a number of sections to reflect this multidisciplinary approach, namely the origins of conservation biology; biological diversity and its importance; threats to biological diversity; protection, restoration and management of populations, species, habitats and ecosystems; and economics and sustainable development.
STAB6143 Economic Botany and Ethnobotany
The course will focus and discuss the plant botanical aspects that have economic and ethnobotanical importance to man including their role in culture and civilization of man. It also covers some plant commodity groups such as food crops (rice and other carbohydrate sources), medicinal plants and plants in rural and urban landscape. A brief history on the use of plants among the people of Southeast Asia will be outlined from the aspects of biology, environment, socio-economy, culture and their roles in modern utilization such as plantation crops and agro-biotechnology.
STAB6903 Diversity of Plant Genetic Resources
The course covers various topics on plant diversity, with emphasis on different plant species that are used for food and agriculture, and for other uses such as animal feed, fibers, industrial biomaterials and medicine. Diversity between and within plant species for major, minor and underutilized crops will be discussed. Important aspects include general principles of diversity and evolution, origins of agriculture and domestication, centre of origin and diversity, history of distribution, gene pools, breeding systems, cytogenetically variation, introgression, genetic vulnerability and erosion, interdependence between countries, value of plant diversity, land races and their wild and weedy progenitors, and their use in breeding modern varieties. Examples include plantation crops, cereals, oil crops, fruit trees, root and tuber crops, grain legumes, vegetables, beverages, spices, medicinal and aromatic plants. The course also covers the history of plant germplasm collecting, legal issues in plant germplasm collecting and conservation. Includes field visits.
STAB6914 Plant Breeding
The course covers both crop improvement and tree breeding. Topics on crop improvement include genetic principles in breeding and improvement of crop plants, plant genetic resources, breeding systems, host-pathogen interactions, genetics of resistance and pathogenicity, monogenic and polygenic inheritance, heritabilities, heterosis, ideotypes, hybridization and selection, mass selection, pedigree selection, backcrossing, inbreeding, hybrid varieties, resistance against pests and diseases, genotype x environment interactions, and applied cytogenetics, physiological breeding, gene manipulation and genetic engineering in relation to their use in plant breeding. Topics on tree breeding include genetic principles in breeding and improvement of forest species in relation to production forestry, tree improvement strategies, selection methods, seed production area, seed orchards, genetic testing programmes, reproductive biology and advances in propagation technology, hybrids in tree improvement, wood and tree improvement, advanced generation selection, gains and economics of tree improvement, and applications of biotechnology in tree improvement. The course also covers population and quantitative genetics which are closely related to plant breeding. Includes field visits.
STAB6924 Advanced Plant Biotechnology
The course gives an introduction and overview of important biotechnologies and explores the ways in which new biotechnologies can contribute and be applied to crop improvement or tree breeding programmes. The biotechnologies include genomics and bioinformatics, mapping plant genomes with molecular markers, transformation systems, analysis of transgenic plants and application of plant genetic manipulation. Practical classes given are primarily associated with the current genomic tools and genetic manipulation techniques used in crop and tree improvement. Includes visits to biotechnology laboratories.
This programme is based on continuous assessment of all courses given. For practical works, students are required to hand in laboratory reports. Seminars and Technical visits (even though not accounted) are compulsory. This program is offered full-time only and is only offered once in every study session.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – Every October
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STSN6012 Interaction of Radiation with Matters STSN6132 Regulatory Controls STSN6212 Quantities and Measurements STSN6312 Effects of Ionizing Radiation on Biological Systems STSN6422 Principles of Radiation Protection STSN6614 Practical I STSN6972 Research Project I | 20 |
| II | Core Course | STSN6052 Intervention for Protection of the Public STSN6142 Environmental Engineering of Nuclear Power STSN6222 Internal Exposure Assessment STSN6322 Nuclear Safety, Security and Safeguards STSN6412 Radioactive Waste Management STSN6512 Medical Exposure STSN6522 Protection Against Occupational Exposure STSN6624 Practical II STSN6986 Research Project II | 24 |
Total Credits | 44 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STSN6012 Interaction of Radiation with Matters
This course covers an introduction to radiation protection and safety of radiation sources, basic nuclear physic and mathematics including statistics used in radiation protection. This course also includes interaction of radiation with matter and sources of radiation and also detection and measurement of quantum particles.
STSN6052 Intervention for Protection of the Public
This course covers awarenes due to chronic esposure, radiological and nuclear accidents. It also covers basic of emergency procedures, evaluation and monitoring in emergency situation and radiological and nuclear accidents.
STSN6132 Regulatory Control
This course is aim at discussing the scope and framework of basic regulation and the regulatory body involved in radiation protection. It also covers effective regulatory programmes in radiation protection.
STSN6142 Environmental Engineering of Nuclear Power
This course covers the environmental effects of nuclear power and radiations. Radiological assessment methods and characterizing the various radiation sources are deals directly with analysis. Liquid effleunt managemement and dispersion of gaseous radioactive nuclides and transport or migration of radioactivity through surface water, underground water and biosphere are described. Finally environmental pathway modelling is examined and compared.
STSN6212 Quantities and Measurements
This course covers dosimetric quantities, units and calculation. It also includes dosimetric calculations and measurements, principles of radiation protection and measurements. Besides that it also discusses on the choice of detectors suitable for radiation field involved.
STSN6222 Internal Exposure Assessment
This course covers assessment of occupational exposure due to intakes of radionuclides. It also covers monitoring programmes, biokinetic models used by ICRP, calculations of committed effective dose, calibration and quality assurance.
STSN6312 Effect of Ionising Radiation on Biological Systems
This course covers the mechanism of the effects of radiation at molecular and cellular level. It is aim at presenting models used in determining the risk coefficients and estimating effects. This includes radiation effects at the molecular level, deterministic effect and stochastic effects.
STSN6322 Nuclear Safety, Security and Safeguards
This course covers introduction to national and regional systems for nuclear safety, physical protection of nuclear materials and facilities, detection and response, principles of nuclear safeguards, nuclear material accountacy,integrated safeguards, containment and surveillance, satellite monitoring and international law.
STSN6412 Radioactive Waste Management
This course covers types of nuclear waste, waste classification and overall management like treatment and disposal of radioactive waste from NPP and treatment facilities, solididfication and volume reduction technology, package and transportation, interim storage and disposal repository, repository safety analysis, decommission and decontamination, and spent fuel management are treated in this course.
STSN6422 Principles and Radiation Protection
This course covers basic conceptual framework of International Commission on Radiological Protection (ICRP) and the role of other organizations or agencies such as International Organizations in Radiation Protection, International Atomic Energy Agency (IAEA), United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), International Labour Organisation (ILO), World Health Organisation (WHO, Food and Agriculture Organisation of the United Nations (FAO), Nuclear Energy Agency of OECD (NEA/OECD) and Pan American Health Organization (PAHO) in radiation protection.
STSN6432 Training the Trainer and Technical
This course is aim at instilling skills in organizing trainings. It covers general consideration for individuals to be trained and the types of training, individual traits, how to teach in a group, course design and evaluation. This is a also include as an option a 2 weeks industrial visit to various industries, hospital and the regulatory board novel in the using or regulating the use of radioactive sources.
STSN6512 Medical Exposure
This course covers scope and responsibilities, justification of medical exposures, optimization of protection for medical exposures, quality assurance and accidental exposures in medical applications. Beside these it also discusses cases of exposure accidents in the medical field.
STSN6522 Protection Against Occupational Exposure
This course covers organization and managements, methods of protection and safe use of radiation sources. It also covers individual and workplace monitoring, health surveillance and potential exposures. This includes protection against occupational exposure in industrial radiography, industrial irradiators and accelerator, gauging devices, well logging devices, radioisotope production plants, nuclear medicine.
STSN6614 Practical I
This course involves practical and demonstrations of each type of portable monitoring for α, β, γ radiations and description of each use, the use of manual equipment, the determination of the characteristics of GM detector, determining the level of background radiation. It also includes the measurement of beta radiation levels for beta emitter samples and determination of total efficiency, calibration gamma scintillation spectrometer in terms of energy and activity.
STSN6624 Practical II
This course involves practical including inverse square law, the attenuation of gamma ray study, maximum energy level of beta radiation, isotope production, absorption of beta particles in different materials, complex gamma spectrum analysis using semiconductor detectors as well as field work, which involves sample collection.
STSN6972 Research Project I
This course is aim at training students to study specific topics on radiation protection through extensive readings and guided research. Students are required to prepare a literature survey of a chosen topic and to prepare a proposal of the research that will be conducted in STSN6986 Research Projects II.
STSN6986 Research Project II
This course offers student the opportunity to do research on specific topics of interest under the supervision of one or a group of supervisors. The research can be conducted experimentally or analytically. Students are required to prepare a dissertation report on the research and will be asked to defend the results orally.
The development of a nation relies heavily on the construction of key infrastructure such as dams, highways, industrial complexes, ports, and airports. These large-scale projects demand a thorough understanding of the interaction between earth materials, geological conditions, and engineered structures. The characterization of earth materials and masses is therefore essential to ensure the safety, sustainability, and cost-effectiveness of construction. As Malaysia progresses toward developed nation status, the demand for such infrastructure is expected to grow significantly—including in areas that are geologically challenging or previously deemed unsuitable for development.
Engineering geological input plays a vital role in supporting safe and efficient construction practices. Complementing this, geophysical methods provide non-invasive means to identify geological hazards, assess ground stability, and gather crucial subsurface data during the planning and design stages of a project.
This programme is designed to further train geoscientists to anticipate, evaluate, and address potential geotechnical and geological challenges that may arise during construction. Participants will gain the expertise to propose practical, safe, and economical solutions. Additionally, the programme will enhance their ability to apply both geological and geophysical techniques to conduct thorough investigations at and beneath the earth’s surface—an essential competency in the successful development of modern infrastructure.
Study Duration
Minimum 2 semesters (full time) / 4 semesters (part time)
Maximum 4 semesters (full time) / 8 semesters (part time)
*all lectures during weekdays and office hours (including part time)
Intake
2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STAG6032 Fundamental Geology STAG6244 Rock Engineering STAG6274 Geophysics Processing and Interpretation STAG6254 Engineering and Environmental Geophysics STAG6014 Geoscience Research Methodology | 18 |
| Elective Course | STAG6112 Applied Structural Geology OR STAG6382 Applied Hydrogeology | 2 | |
| II | Core Course | STAG6224 Soil Engineering STAG6343 Site Investigation (SI) and Geotechnical Design STAG6323 Engineering Geology and Geohazard STAG6312 Earth Resources Exploration STAG6486 Geoscience Research Project | 18 |
| Elective Course | STAG6372 Contaminated Land Assessment and Remediation | 2 | |
Total Credits | 40 | ||
STAG6032 Fundamental Geology
The course covers fundamentals of geology; Earth’s history and Earth’s formation, Earth’s system, Earth’s structure. Earth materials; minerals and mineral classification, rocks (igneous, metamorphic and sedimentary rocks), soils, sediments. The course also provides exposure to Bentong Raub Sutura (BRS) which is exposed in the central part of Peninsular Malaysia, Genting Sempah Area, East Cameron Highland, East-West Highway, the southern part and the correlation with the Main Range of Peninsular Malaysia. The main topics involved discussions on the distribution of sedimentary rocks in Peninsular Malaysia; Paleozoic, Mesozoic and Cenozoic rocks in the Western, Central and Eastern Belts.
STAG6244 Rock Engineering
Introduction, background and development of rock mechanics and geomechanics. Geology based rock mechanics. Rock mass classification systems: SMR and GSI systems. Inhomogeniety and anisotropy. Role of discontinuities in the mechanical behaviour of rock materials and rock masses. Discontinuity characterization. Rock mechanics inputs for subsurface construction (tunnels, caverns), dams and industrial plants. Practical classes will involve the determination of the physical and mechanical properties of rock materials and rock masses in the laboratory and field, together with problem solving exercises related to rock stability in construction.
STAG6274 Geophysics processing and Interpretation
The subject will introduce integration of the latest geophysics data processing and interpretation techniques used in engineering investigation, environmental and earth resources exploration. Students will be exposed to data acquisition, image presentation and enhancement, rock petrophysical properties and the fundamentals of qualitative and semi-quantitative interpretation of imagery
STAG6254 Engineering and Environmental Geophysics
The subject will introduce integration of the latest geophysics techniques used in engineering investigation and environmental. Students will be exposed with basic concept for every main geophysical method and application in engineering and environment.
STAG6014 Geoscience Research Project 1
This course aims to explain research proposals, UKM thesis style, data presentation, abstract, introduction, literature review, analysis and synthesis of geological data such as thin sections observation, geological maps and cross sections. The geoscience research methodology course also covers technique, analysis and synthesis of geochemical data, sedimentological data, geophysical data and engineering data, writing technique for discussion, conclusions and references. Students will also be exposed to the professional practice & project management involving the geological entrepreneurship industry.
STAG6112 Applied Structural Geology
This course covers fundamental and advanced theoretical and skills of structural geology to comprehend the aspects of structural style, what factors control the style, and incorporate the style into an interpretation. Topics include deformation and structures from meso to microscale, tectonics and structural provinces, geometric and kinematic analysis, dynamic and mechanical analysis, structural interpretation and reconstruction, GIS and geological modeling, and practical applications of structural geology to engineering and geohazards, exploration and exploitation. Concepts are illustrated with field examples of seismic and outcrop data and reinforced with practical exercises using real data.
STAG6382 Applied Hydrogeology
This course is about developing a hydrogeological conceptual model of area using geological information, pumping test and groundwater chemistry data. Before that, students will be introduced with basic concepts such as hydrologic cycle, physical, chemical and hydraulic properties of aquifer, aquiclude and aquitard and the principle of groundwater flow.
STAG6224 Soil Engineering
This course discusses characteristics and behavior of soil based on the grain size distribution, mineralogy, soil classification, consistency level, compaction, permeability, shear strength and consolidation. Students will be exposed with the calculation for effective stress and lateral earth pressure. Students are then exposed with Problem Based Learning through slope stability analysis using soil characteristics and behavior learned
STAG6343 Site Investigation (SI) and Geotechnical Design
This course discusses the basic principles of integrated site investigation and geotechnical design. Site investigation involves borehole recording technique, borehole sampling, and core log analysis of the borehole. The student will be exposed to the site investigation case studies of the construction site (pre and post-construction) and recommend appropriate geotechnical design according to the geological condition of the site.
STAG6323 Engineering Geology and Geohazard
Classification of geohazards. Concept of hazard and risk. Landslides: definition, identification, and classification. Landslide hazard and risk management. Case studies. Subsidence and sinkholes. Earthquakes: classification, magnitude, and intensity. Detection and measurement. Earthquake hazard and mitigation. Tsunami: background and characterization. Impact, damage, monitoring, early warning and mitigation. Malaysia’s policy and planning response for earthquake and tsunami hazards. Floods. Erosion. Hazard and risk management.
STAG6312 Earth Resources Exploration
The subject will introduce integration of the latest exploration techniques used in earth resources exploration including geophysics, geochemistry and applied geology. Students will be exposed to data acquisition, image presentation and enhancement; rock petrophysical properties; and the fundamentals of qualitative and semi-quantitative interpretation of imagery.
STAG6486 Geoscience Research Project 2
This course aims to evaluate student’s research and technical writing skills through their involvement with projects from industry. The technical write up consists of these elements: abstract, short literature review, methodology, result and discussion and conclusion.
STAG6372 Contaminated Land Assessment and Remediation
Land contamination is of global concern with many of the world’s industries potentially harming the environment and human health. The contaminants in the ground can pose a significant risk to human health and the environment. The aim of the course is to provide a knowledge of the required processes for managing contaminated or potentially contaminated land. The course explains what steps need to be taken when soil and groundwater contamination are encountered. What options are available and the regulation requirements that need to be fulfilled. Several case studies in Japan, USA and Malaysia will also be reviewed and studied.
The Master of Science in Entomology (Coursework Mode) at Universiti Kebangsaan Malaysia (UKM) is designed to provide comprehensive academic and practical training in the science of insects. This programme explores the biological, ecological, medical, and agricultural significance of insects, with a focus on their impact on ecosystems, public health, and human activities.
Delivered through a structured combination of lectures, projects, field work, and research project, the coursework mode is ideal for students seeking an in-depth, professionally oriented understanding of entomology. Students will engage with key topics such as insect taxonomy, ecology, pest management, and medical entomology, and will also complete a short research project to apply their knowledge in a focused study.
The programme is offered to:
Graduates will be well-equipped for careers in research institutions, agriculture, public health agencies, environmental organisations, and various sectors of the biological sciences. The programme also provides a solid foundation for those intending to pursue PhD studies in entomology or related fields.
Study Duration
Minimum 2 semesters (full time) / 4 semesters (part time)
Maximum 4 semesters (full time) / 8 semesters (part time)
*all lectures during weekdays and office hours (including part time)
Intake
2 times a year (March & October)
*subjected to UKM academic calendar
Structure for Full Time
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAB6644 Insect Pest Management STAB6614 Insect Systematic STAP6974 Research Project I | 16 |
| Elective Course | STAB6664 Medical and Urban Entomology STAL6064 Geographical Information Systems and Remote Sensing STAB6094 Ecological Data Analysis | 4 | |
| II | Core Course | STAB6674 Insect Anatomy and Physiology STAB6624 Insect Ecology STAP6986 Research Project II | 14 |
| Elective Course | STAB6673 Molecular Entomology STAB6063 Curatorial Science STAB6034 Population and Community Ecology | 6 | |
Total Credits | 40 | ||
Structure for Part Time
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAB6614 Insect Systematic STAP6974 Research Project I | 12 |
| II | Core Course | STAB6674 Insect Anatomy and Physiology | 4 |
| Elective Course | STAB6673 Molecular Entomology STAB6063 Curatorial Science STAB6034 Population and Community Ecology | 6 | |
| III | Core Course | STAB6644 Insect Pest Management | 4 |
| Elective Course | STAB6664 Medical and Urban Entomology STAL6064 Geographical Information Systems and Remote Sensing STAB6094 Ecological Data Analysis | 4 | |
| IV | Core Course | STAB6624 Insect Ecology STAP6986 Research Project II | 10 |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAB6614 Insect Systematics
The course will first discuss the introduction of systematics, its historical development and systematic activities including the systematics of Malaysian insects. Students will be exposed to ways on how to increase their knowledge on taxonomy by studying the principles and concepts of systematics which involve grouping, classification and naming according to the International Code of Zoological Nomenclature (ICZN). They will also be exposed to aspects of evolution, ecology, ethology, biogeography and other related aspects. To really understand the systematic activities, three major aspects will also be emphasized, namely the morphological characters, reproductive and molecule (DNA). An introduction and application of computer software such as PAUP will be taught especially in erecting a phylogenetic tree of a given insect group. Students will be requested to write taxonomic manuscripts and erect a phylogenetic tree of their own selected insect group or taxa, which in turn will be their term paper for this course.
STAB6624 Insect Ecology
This course will discuss the habit and role of insects from an ecological perspective. The discussion on the ecological aspects that cover insect growth, development, survival, reproduction, role of host, abiotic and biotic factors, adaptation, genetic variation, life support system and distribution pattern in nature and for application perspective will be heavily emphasized. The concept of insects in ecosystem, diversity and tropic structure, role as decomposer, pollinator, vector and the dynamic and regulator of insect pest population will also be discussed. The diversity and conservation aspects with examples of highly valuable insects ecologically, economically, medicinal and aesthetic as well as those of protected species will also be discussed.
STAB6673 Molecular Entomology
Molecular entomology will give the opportunity to students to keep abreast with current trend of using molecular biology tools to comprehend better understanding about insects. Students will be exposed to techniques of how to manipulate insect for disease control both on human and crops as well to improve integrated insect pest management programme. As such, this course will initially introduce students with a basic knowledge of molecular biology of insects and other eucaryotic organisms followed by how to apply the molecular technologies and biotechnologies to entomological topics including molecular genetic of insect behavior, systematics and evolution, transfection of plant with insecticidal genes, transgenic insect, improving virulence of biological control and molecular mechanism of pesticides resistant. Analysis of molecular processes unique to insects, and their potentials for genetic engineering will also be taught. This course will exclusively be taught by lectures and discussions. Students will also have the opportunity to visit a molecular biology laboratory to exchange views with other molecular biology students and they use molecular biology tools in their work.
STAB6644 Insect Pest Management
This course will discuss the principles of Integrated Insect Pest Management (IPM). The important components that ensure the success of IPM, such as basic biology, ecology, insect behavior, biotic and abiotic factors, types of damage, economic threshold levels, monitoring, sampling, strategies and techniques of pest control that are environmental friendly using biological control agents (predators, parasitoids, pathogens and microbial insecticides) will be discussed. Students will also be introduced to the concept of on-line and modeling development for ‘Integrated Pest Management Program’ (IPM), and how best to implement (including on aspects of agricultural law) and evaluate socially, politically and environmentally acceptable in a borderless economic era. The law of pesticide development, usage and selling and aspect of insect quarantine will also be discussed. Additionally, students will be introduced to contributions of biotechnology methods and techniques to the progress and success of IPM. At the end of the course students are required to develop an IPM for the current three species of major insect pests of their selected crops.
STAB6664 Medical and Urban Entomology
This course will discuss the introduction and classification of insect of medical importance (human, domestic and husbandry animals), structural insect pests as well as those infesting food, stored products and other materials. Students will also be exposed to biological, ecological and behavioral aspects of medical and urban insect pests, and the latest control approaches (integrated management) especially using methods and strategies that are environmental friendly, easy to be used, cheap and socially acceptable. In addition, legal aspects and the impact of each control method to the economy and politics will also be discussed. The discussion will focus more on mosquitoes, flies (including Drosphila melanagaster), cockroaches, termite, fleas, bedbug, tick and mites. Visit to centres or research institutes related to this course will be conducted to give opportunity to students to relate what is taught in classes with what has been or being done to insects of medical, urban or structural, stored product importance. At the end of the course students are required to prepare a term paper with the topic of their choice related to insects that have been discussed in this course.
STAB6674 Insect Anatomy and Physiology
This course discusses on anatomy and various physiological processes occurring within insects for them to carry out daily activities for purposes of survival and reproduction. The anatomy and basic physiological processes discussed include endocrine system and insect growth, reproductive system, embryogenesis, digestive system and nutrition, excretory system and ion balance, circulatory system and immune mechanism, respiration as well as muscle system and insect flight. In addition, nervous and sensory systems, insect perception, sound and light production as well as pheromone in insect communication are also discussed. Through case study, lab and readings on the latest research publications in insect physiology, students will be able to understand the functions of a broad physiological system in relation to morphological, anatomical, and biochemical changes in insects that brought about their natural behaviour which are essential for practical application at the macro as well as molecular levels.
STAB6034 Population and Community Ecology
Population and community are the two most important components in ecology. Population ecology is the study of populations of animals and plants and their interactions in the natural environment. A population is a group of interbreeding organisms, while community ecology is the study of any assemblage of populations in a natural environment. In this course, populations are analysed in terms of variability, density, and stability, and other environments and processes that can assess these characteristics. Among the determinants of a population are the birth and death rate; age and sex distribution; patterns of competitive and cooperative behavior; predator-prey, host-parasite, and other relationships with different species; food resources and the environment; and migration patterns. Communities were analysed based on traditional characteristics; diversity, dominance, growth form and structure, trophic structure, and relative abundance; and are described as a distinct system of life with its own development and function. In the analysis and evaluation of a population and community, mathematical models and indices that incorporate relevant determinants and variables are used to predict changes in determinants that may affect a community and population. These population and community assessments are conducted through field case studies of several groups of fauna (such as birds and mammals) and their natural habitats.
STAB6063 Curatorial Science
This course will discuss the science of curation which includes theory, practice and understanding of the role of natural history collections in biological conservation. The course also emphasizes the importance of natural history collections as a reference for education and research. Students will be trained on methods of sampling, preparation, identification and curation of animal and plant specimens at the flora and fauna repository facilities at UKM, namely the Insect Systematics Centre, Herbarium Universiti Kebangsaan Malaysia Bangi and the Natural History Museum Faculty of Science and Technology. Students will digitise specimens for data management in line with the latest curation method as part of the course assessment. Students will also have the opportunity to visit one of the national specimen repositories.
STAB6094 Ecological Data Analysis
Ecological data is defined as a set of measurements collected by scientists which includes an analytical and conceptual framework. Ecological data systems usually consist of many types of data. This course provides the main numerical methods for data analysis in ecological studies. This course is divided into four parts. The first and second parts involve biodiversity assessment and the Bayesian approach to ecological studies and wildlife management. The third and fourth parts are big data analysis using R software and multivariate analysis, which is the analysis of interactions between biotic and abiotic data in ecological studies. R software is the most robust and widely used programming language for statistical analysis, visualization and big data science. This component consists of the introduction and role of big data in ecological studies and metadata quality control. In addition, students will be exposed to a variety of experimental designs and statistical methods to answer various ecological questions, and critically evaluate the results obtained from ecological studies.
STAL6064 Geographical Information Systems and Remote Sensing
This course will introduce the concepts and application of remote sensing and GIS. The course covers the characteristics of remote sensing sensors, image acquisition and data collection in the electromagnetic spectrum and spatial data analysis. The course is designed to comprehensively understand remote sensing and GIS application in solving research problems applied to various earth resources disciplines. Upon completion of the course, students should be able to use remote sensing and GIS for environmental assessment and monitoring.
STAP6974 Research Project I
This course aims to train students to conduct research in the field of biological sciences under supervision. Research is conducted through literature review and individual research. Students are required to prepare a preliminary research report with a chosen topic accompanied by a problem statement, hypothesis, significance or justification of the study, literature review and methods.
STAP6986 Research Project II
This course aims to train students to do research in the field of biological sciences under the guidance of a supervisor. Research is conducted empirically and analytically. Students are required to prepare a final research report covering introduction, literature review, materials and methods, results, discussion and conclusion. Student is also requried to give an oral presentation on the research findings.
The Master of Science (Environmental Assessment and Monitoring) program is designed to equip students with the advanced knowledge and skills necessary to address the complex environmental challenges of today. Through a comprehensive curriculum, students will develop a deep understanding of environmental issues and learn the methodologies used to assess and monitor the environmental conditions.
Program Highlights:
Personal and Professional development: The program equips students with relevant skills for various career options in environmental science, including consulting, research, teaching, or management. This program is also ideal for working professionals seeking to update their knowledge or acquire new skills in environmental sciences and management.
As a superior Public Institution of Higher Learning (IPTA) in Malaysia, UKM has moved to the front in encouraging schools to offer post graduate studies in science. UKM offers a marine science programme for under graduate students. The Marine science programme was established in 1985 courses offered include all aspects of marine physics, chemistry and biology at the UKM branch campus at Kota Kinabalu Sabah. This programme was moved back to the main campus in Bangi at the end of 1995. It is currently operating under the School of Environment and Natural Resource Sciences, Faculty of Science and Technology.
Since its establishment, the Marine Science Programme of UKM has experienced developments in various aspects that include expanding of the academic staff expertise and good teaching, numbers of knowledgeable students and high level of researchs. Nowaday, academic staffs from Marine Science Programme of UKM has reputed at national and international standings in various field such as researchs on marine organism diversity, fisheries science and fish ecology, research on toxic algae problems, marine microbiology and biotechnology and climate changes researchs in particular related with El Nino and La Nina phenomena. Recognition has been proven based on the various roles playing by the academic staffs as leader or coordinator in various global programmes organized by CoML, JSPS, IAEA and IOC-WESTPAC. Several academic staffs from this programme have regularly receiving invitation or deliver talks on various issues at national and international standings. With these achievements, development in knowledge and research, Marine Science Program of UKM are now offered the post-graduates programme studies in marine science.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAP6064 Geographical Information Systems and Remote Sensing STAP6974 Research Project I | 12 |
| Elective Course | STAL6013 Advance Marine Ecology STAL6033 Marine Microbiology and Biotechnology STAL6213 Coastal and Estuarine Oceanography | 9 | |
| II | Core Course | STAP6986 Research Project II | 6 |
| Elective Course | STAL6023 Mariculture STAL6043 Management and Conservation of Marine Resources STAL6103 Advance Marine Chemistry STAL6034 Data Analysis Methods | 13 | |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAL6013 Advance Marine Ecology
In this course, marine ecology will be discussed in detail with emphasis on tropical and subtropical oceans. Main aspects discussed include the primary and secondary productivities. This is followed by discussion regarding the consumer population dynamics, consumer competition, and the relationship between consumer and producer. Furthermore, marine community dynamics and structure will be discussed which include trophic structure, taxonomy structure, space dynamics and community development. Biogeochemistry process and cycle that function in the marine environment will be discussed. Short term and long term changing processes occurring in the marine environment and the effects of these changes will be emphasized at the end of the course.
STAL6023 Mariculture
This course will discuss in detail the recent development of marine organism culture such as selected fish species, bivalves, cephalopods, crustacean and other potential marine species. Topics discussed begin with several relevant technical aspects in site selection, pond or floating cage preparation in marine ecosystem, handling and control of cultured stock species, aquaculture nutrition and feed formulation, transportation of life cultured organism and economical mariculture management aspect. The course will also include several case studies in relation to field visits in selected mariculture sites in Peninsula Malaysia.
STAL6033 Marine Microbiology and Biotechnology
This course will discuss in more detail on microorganism activity in the ocean. Studies in molecule marine microbiology involve processes including the bioremediation in hydrocarbon degradation, interaction between microbe and metals, and adaptation of microbe on extreme pressure and temperature will be emphasized. Moreover, metabolite bioactive aspects involved in the marine microorganism symbiotic interaction will also be discussed. Studies are corresponding with the biotechnology approach particularly in systematic characteristic of marine microorganism and bioremediation. Practical methods will be emphasized on the DNA extraction, PCR process, gene sequencing, data analysis and management.
STAL6034 Data Analysis Methods in Marine Sciences
Oceanographic and climatological/meteorological studies often involved in manipulation and utilization of complex spatial-temporally distributed datasets. These datasets are archived in various formats in order to facilitate transmission of abundant data over the internet. This course introduces processing of these data formats. Several software packages that are oftenly used will be introduced. Besides, modern analysis techniques for spatial and temporally distributed data will also be discussed. These techniques include spatial analysis, modern time series analysis as well as the concurrent spatial-temporal analysis.
STAL6043 Management and Conservation of Marine Resources
This course will discuss mainly human exploitation activities on coastal and offshore fisheries resources. Global history and fishery resource exploitation flow of the selected fishes species, status and levels of world fisheries resource management, and fishery modeling tools used in marine fishery stock assessment will also be discussed. Detailed discussion will focus on current development on several aspects of marine resource management that include policy and legal aspects of management and conservation of marine resources.
STAL6103 Advance Marine Chemistry
This course covers advance aspects of marine chemistry which is focused on the important aspects of ocean systems. The controlled process composition of seawater and chemical species in ocean will be discussed. The discussion will focus on the marine chemical characteristics that occurred which is related to the seafloor, atmosphere and marine organisms. Discussion on latest research related to marine chemistry field will also be conducted.
STAL6213 Coastal and Estuarine Oceanography
This course provides in-depth understanding of physical oceanographic processes at coastal, shelf sea and estuary. The first part of this course covers the physical aspects of estuary. These include estuary classification, circulation, stratification, mixing processes as well as wave and tidal influences. The sediment and pollutant transport in estuary will also be discussed. The second part of this course covers oceanographic processes at coastal and shelf sea. These include mixing processes, wave and tidal influences, circulation and currents, stratification and fronts. Exchanges between shelf sea and open ocean will also be discussed.
The Master of Science in Conservation Biology focuses on biological sciences and integrates conservation ethics, law, and economics of natural and environmental resources. The multidisciplinary approach, combined with relevant research skills, provides students with a range of career options. Graduates may choose to continue their education in a Ph.D. program in any field of science, or they can enter the job market directly as environmental or sustainability consultants, scientific researchers, conservationists, curators, teachers, executives, or administrators in public or private agencies dedicated to conserving natural resources.
Why Us?
Study Duration & Intake
Study mode: Full time only
Study duration: minimum 1 year to maximum 2 years (2 -4 semesters)
Intake: Two intakes per year (Mac & October)*
*Subjected to UKM’s academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAB6003 Biodiversity Conservation and Management STAB6163 Biogeography STAP6974 Research Project I | 20 |
| Elective Course | STAB6094 Ecological Data Analysis STAB6113 EIA for Biodiversity Conservation STAB6903 Diversity of Plant Genetic Resources STAL6064 Geographical Information System and Remote Sensing | ||
| II | Core Course | STAB6054 Conservation Ethics and Laws STAB6084 Natural and Environmental Resources Economics STAP6986 Research Project II | 20 |
| Elective Course | STAB6024 Natural Resource Prospecting STAB6034 Population and Community Ecology STAB6063 Curatorial Science STAL6083 Sustainable Use of Marine Resources | ||
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STAB6003: Biodiversity Conservation and Management
Conservation and management of biological diversity is a multidisciplinary field of science that encompasses the philosophies of morality, social justice, economics, politics and sustainable development, in addition to biodiversity and natural habitat protection. Both aspects of conservation and management of biodiversity are important to consider when using natural resources to ensure sustainable development. The multidisciplinary approach is applied through lectures and discussions on the history of conservation biology, international agreements, such as the Convention on Biological Diversity, and national attempts to safeguard biodiversity through various acts, strategies and policies. In-depth discussion is given to the issues and problems facing biodiversity, particularly the impact of climate change, habitat loss, and the introduction of invasive alien species. Among the topics on conservation include the establishment of protected areas; rehabilitation of species, populations, habitats and ecosystems; integrated conservation and development project (ICDP); conservation status guide in the IUCN Red List database; and the Sustainable Development Goals (SDGs). Fieldwork involves assessment of anthropogenic impacts such as the impact of tourism on the conservation and management of biodiversity at UNESCO/RAMSAR sites in Peninsular Malaysia. The use of latest technologies in conservation and management of biodiversity, especially those related to IR4.0, such as drone technology, IoT and nanotechnology will be discussed.
STAB6163: Biogeography
Biogeography is a multidisciplinary science related to various field such as biology, geography, geology, palaeontology and ecology. Biogeography explains about biological diversity covering aspects of species diversity, ecosystems and genetics. Biogeography seeks to answer basic question such as why are there so many living creatures? Why are they distributed in the way they are? How they occupied current distribution patterns? How are the present activities of human affecting these patterns? What are their prospects of future? The course is organized into four parts. The first part covers ecological aspects including geographical variations in physical environmental conditions and factors limiting the distribution of species. The second part covers historical aspects such as speciation, extinction, dispersal, endemism and reconstructing biogeographic histories. The third part covers the distribution of taxa in the context of time and space and the fourth part covers ecological biogeography such as equilibrium theory of island biogeography, island patterns and relation to conservation processes. Students will also learn data analysis methods in the field of biogeography that involve the latest molecular genetics approaches and big data applications in line with IR4.0.
STAB6054: Conservation Ethics and Law
Ethics and law are essential to conservation. The former sets the objective, and the latter the legal basis and mandate for conservation. This course will briefly introduce by way of background, the basic issues relating to conservation ethics and law. Current developments that have bearing on ethical understanding, the evolution of laws relating to conservation and sustainable development will be analysed. Various principles and concepts relating to conservation and sustainable development will also be discussed, to identify the inherent values (ethics). Institutional roles and functions of State parties will be outlined to describe the accountability and responsibility attached in implementing laws for conservation. The relationship between science, ethics and law will also be analysed to determine options that can be adopted by stakeholders involved in conservation. Selected national laws and/or multilateral environmental agreements will be used as reference and basis for assessment of the inculcation of ethical values and statutory compliance by all towards attaining the aspirations for sustainable development.
STAB6084: Natural Resource and Environmental Economics
This course is about the application of the principles of economics to study how natural resources and the environment are developed and managed. Natural resources have a double-edge effect on economic growth; i.e., the intensity of their use increases output but also increases their depletion rate. Thus, students will be exposed to economic methods, techniques and instruments in resolving issues such as resource scarcity, externalities, property rights, market failures, and public goods. These economic analyses provide a strong basis for well-informed decision-making that may directly or indirectly affect our environment. Fieldwork and interviews will be conducted to improve students’ understanding and aptitude for using environmental and natural resource valuation techniques. The implementation of fieldwork and interviews is through case studies, involving several environmental and natural resource sectors, such as fisheries and marine resources, forestry, wildlife (e.g. Jabatan Perhilitan), biodiversity, energy, and community-based geo-tourism (e.g. Man and Biosphere Reserve Tasik Chini dan Langkawi UNESCO Global Geopark). Students should also discuss these case studies in the context of the Sustainable Development Goals, particularly SDGs 13, 14 and 15.
STAB6094: Ecological Data Analysis
Ecological data is a set of measurements collected by scientists which includes analytical and conceptual frameworks. Ecological data systems usually consist of many types of data. This course provides various numerical methods for analyzing ecological data. This course is divided into four parts. The first and second parts involve biodiversity assessment methods and approaches such as Bayesian method in ecological studies and wildlife management. The third and fourth parts are big data analysis using appropriate softwares such as R software and multivariate analysis to determine the interactions between biotic and abiotic data from ecological studies. Latest softwares will be introduced for statistical analysis, visualization and big data. This includes introduction and the roles of big data in ecological studies and metadata quality control. In addition, students will be exposed to a variety of experimental designs and statistical methods to answer various ecological questions, and critical evaluation on the results obtained from ecological studies.
STAB6113 EIA for Biodiversity Conservation
As the human population continues to increase and natural resources become more scarce, it is crucial to achieve the sustainable development through producing high-quality EIA studies. Environmental Impact Assessment (EIA) is an important tool to identify the potential risks of a project to environmental and human well-being as well as identify measures to eliminate and/or mitigate these risks. The focus of this course is to understand the methods and procedures for EIA implementation in proposed projects. The EIA study procedures include screening processes, identifying prescribed activities, identifying relevant planning policies and legislations, scoping, formulating terms of reference (TOR), delineating study area boundaries, modelling, using suitable assessment standards, identifying and prioritising environmental impact assessment, analysing risk and proposing mitigation measures, and preparing the EIA report. This course emphasises the assessment and description of the physical, biological and socio-economic environments. Environmental management plan (EMP) and wildlife management plan (WMP) will also be discussed. Students will be exposed to writing the TOR, EIA, EMP and WMP in EIA studies.
STAB6903: Diversity of Plant Genetic Resources
This course covers a wide range of topics in diversity of plant genetic resources, and focuses on plant species for food, livestock, horticultural, bio-materials, construction and medical industries. These include general principles of plant diversity (evolution, domestication, breeding), centre of origin and centre of diversity, categories of plant genetic resources, their values, importances and distributions, factors that threaten plant genetic resources, gene pool concepts, plant reproductive systems, cytogenetic variation , introgression, vulnerability and genetic erosion, and issues related to plant genetic resources including cooperation between various countries in conservation, management and research on plant genetic resources, as well as farmer’s and breeder’s rights. This course also has field visit.
STAL6064: Geographical Information Systems and Remote Sensing
This course will introduce the concepts and application of remote sensing and GIS. The course covers the characteristics of remote sensing sensors, image acquisition and data collection in the electromagnetic spectrum and spatial data analysis. The course is designed to comprehensively understand remote sensing and GIS application in solving research problems applied to various earth resources disciplines. Upon completion of the course, students should be able to use remote sensing and GIS for environmental assessment and monitoring.
STAB6024: Natural Resource Prospecting
Thi Natural resources (biotic and abiotic) are important for the preservation of ecosystem structure and function. Natural resources such as biodiversity are very important as genetic resources to ensure food security. Earth’s resources such as quarrying and mining materials are important in driving development and the nation’s economy. Therefore, the exploration of natural resources needs to be balanced between sustainable use and conservation to minimize environmental degradation and destruction. In line with the Sustainable Development Goals (SDGs), students will be exposed to Green Economy that is low in carbon, reduces pollution, improves energy efficiency, prevents the loss of biodiversity and protects ecosystem services. Among the issues that will be discussed are the food security crisis; climate change; pathogen, pest and disease outbreaks that affect public health. Students will be trained to identify the uses of natural resources and understand the formation and sustainable management of resources. This course will also discuss the latest technology related to IR4.0 in the exploration and management of natural resources.
STAB6034: Population Ecology and Community
Population and community are the two most important components in ecology. Population ecology is the study of populations of animals and plants and their interactions in the natural environment. A population is a group of interbreeding organisms, while community ecology is the study of any assemblage of populations in a natural environment. In this course, populations are analysed in terms of variability, density, and stability, and other environments and processes that can assess these characteristics. Among the determinants of a population are the birth and death rate; age and sex distribution; patterns of competitive and cooperative behavior; predator-prey, host-parasite, and other relationships with different species; food resources and the environment; and migration patterns. Communities were analysed based on traditional characteristics; diversity, dominance, growth form and structure, trophic structure, and relative abundance; and are described as a distinct system of life with its own development and function. In the analysis and evaluation of a population and community, mathematical models and indices that incorporate relevant determinants and variables are used to predict changes in determinants that may affect a community and population. These population and community assessments are conducted through field case studies of several groups of fauna (such as birds and mammals) and their natural habitats.
STAB6063: Curatorial Science
This course will discuss the science of curation which includes theory, practice and understanding of the role of natural history collections in biological conservation. The course also emphasizes the importance of natural history collections as a reference for education and research. Students will be trained on methods of sampling, preparation, identification and curation of animal and plant specimens at the flora and fauna repository facilities at UKM, namely the Insect Systematics Centre, Herbarium Universiti Kebangsaan Malaysia Bangi and the Natural History Museum Faculty of Science and Technology. Students will digitise specimens for data management in line with the latest curation method as part of the course assessment. Students will also have the opportunity to visit one of the national specimen repositories.
STAL6083: Sustainable Use of Marine Resources
This course covers the sustainable use of marine resources that are considered valuable, economically. The main focus is on the biological resources due to its renewable attributes. The aim is to maintain its potential to meet the needs and aspirations of present and future generations. At the early part of the course, explanation on the types, status and uses of marine resources is covered. This is arranged as such so that the candidate could clearly identify, compare and categorize marine resources. Furthermore, the course is conducted through discussions, assignments and presentations. It covers topics and issues related to marine resources and their sustainability of use in line with the SDG2030 agenda (United Nations Sustainable Goals 2030) such as in fishery activity, mangroves and coastal habitat and coral reefs use.
STAP6974 Research Project I
This course aims to train students to conduct research in the field of biological sciences under supervision. Research is conducted through literature review and individual research. Students are required to prepare a preliminary research report with a chosen topic accompanied by a problem statement, hypothesis, significance or justification of the study, literature review and methods.
STAP6986 Research Project II
This course aims to train students to do research in the field of biological sciences under the guidance of a supervisor. Research is conducted empirically and analytically. Students are required to prepare a final research report covering introduction, literature review, materials and methods, results, discussion and conclusion. Student is also required to give an oral presentation on the research findings.
Systematic botany is an important component in life sciences, dealing primarily on a science of arranging plants into natural groupings and the naming of these groups. Systematic principles aim to produce classification systems which best express the various degrees of overall similarity between the living organisms. Such systems are used in biology for the storage, retrieval and communication of information and for the making of reliable predictions and generalizations. They are based on as broad as possible study of the variation of living organisms and aim to establish groups, the members of which possess the largest number of common features and exhibit therefore the greatest overall similarity. This expertise will provide a basic service to biology, especially on identity, probable close relatives and characteristics of plants to those who require it, especially to those doing research in other areas of biology. Plant systematic will be able to provide an accurate name, expressing natural relationships. This will support other life sciences such as plant biotechnology, pharmaceutical, forestry, agriculture and environmental sciences.
This program aims to help enhance the expertise of our biologists with knowledge and basic expertise to be involved in systematic and taxonomic projects. This will contribute to the capacity building in this area especially in megadiversity countries of the tropics. It will also complement other interests such as ecology, system management, agriculture, environmental and development assessment, plant genetic resource management, natural resource exploration, environmental education. This one year course provides a stimulating approach to a wide range of modern taxonomic theory and practice, especially on taxonomic foundations, biodiversity assessment methodologies, economic and applied aspects such as ethnobotany, economic botany, natural resources and conservation, bioprospecting and Flora writing. It is therefore attractive not only to those intending to follow plant taxonomy or systematic professionally, but also to those with interests in such areas as ethnobiology, plant ecology, dendrology, management of genetic resources, biodiversity and conservation biology.
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAP6043 Plant Systematics and Diversity STAP6974 Research Project I | 11 |
| Elective Course | STAB6174 Principle and Methods of Phylogeny Reconstruction STAB6123 Taxonomic Data and Resource Management STAB6153 Plant Micromorphology and Anatomy | 10 | |
| II | Core Course | STAB6143 Economic Botany and Ethnobotany STAP6986 Research Project II | 9 |
| Elective Course | STAB6013 Conservation Biology STAP6033 Biogeography STAB6134 Phylogeny, Diversity and Taxonomy of Cryptograms | 10 | |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAB6013 Conservation Biology
The Earth is now in a critical period for the survival of its natural ecosystems and their plant and animal members. Conservation biology is a multidisciplinary science that has been developed to deal with this crisis. Conservation biology is not just about maintaining viable populations of all species. Conservation is also about moral philosophy, social justice, economics and politics. The course will be divided into a number of sections to reflect this multidisciplinary approach, namely the origins of conservation biology; biological diversity and its importance; threats to biological diversity; protection, restoration and management of populations, species, habitats and ecosystems; and economics and sustainable development.
STAB6043 Plant Diversity and Systematics
This course covers the introduction to the scope and importance of plant systematics to plant biodiversity, highlighting the needs for plant identification, classification and to understand the practice of botanical nomenclature. A brief history of taxonomy and also the classification of systematics in the modern era is touched. Emphasis is given to understanding the concept of population, species, genus and family and other categories in the taxonomic hierarchy. The course also focuses on the nature, type and application of taxonomic evidences paying special attention to the traditional evidences as well as the modern molecular evidences such as DNA. The course ends with some discussion on what the taxonomic institutions do and also what taxonomists normally practices.
STAB6123 Taxonomic Data and Resource Management
This course introduces students to the latest method in taxonomic data and resource management. It includes information and documentation system which are important aspects of biological diversity information management. Students are introduced to concepts and principles of database, information system, collection and editing. Students will be exposed to various computer software (Microsoft, GIS, etc.) and will be able to design database management system.
STAB6134 Phylogeny, Diversity and Taxonomy of Cryptograms
The courses focuses on discussion on taxonomy, ecology, phytogeography, reproductive biology, phylogeny, diversity and classification of the lower plants or cryptograms. This will include all three part of cryptogram viz. algae, bryophytes and pteridophytes. Practicals involve collection method, curation of specimen, sectioning and preparation of slide and identification of the major groups of cryptogams will be given. Mini project will be given for knowledge enhancement and application of knowledge.
STAB6153 Plant Micromorphology and Anatomy
This course contents emphasize on the plant biodiversity, leaf micromorphology and anatomy and also includes polen morphology. Leaf anatomical and micromorphological characteristics and the application of these characters as supporting characters will be discussed in plant systematic. Examples of local and foreign species will be given. Polen morphological characters which are useful in identification of plant species will be discussed, including types, classes and aperture ornamentation. Mini project will be given for knowledge enhancement and application of knowledge.
STAB6174 Principles and Methods in Phylogeny Reconstruction
This course discusses the use of molecular data in plant and animal systematics. Various types of molecular data and multiple sequence alignment of molecular data are explained. The phylogenetic concepts are approached through the application of various phylogeny reconstruction methods i.e. Neighbour-Joining, Maximum Parsimony and Maximum Likelihood. Students will be exposed to computer software such as BIOEDIT and PAUP for phylogenetic analyses.
STAB6143 Economic Botany and Ethnobotany
The course will focus and discuss the plant botanical aspects that have economic and ethnobotanical importance to man including their role in culture and civilisation of man. It also covers some plant commodity groups such as food crops (rice and other carbohydrate sources), medicinal plants and plants in rural and urban landscape. A brief history on the use of plants among the people of Southeast Asia will be outlined from the aspects of biology, environment, socio-economy, culture and their roles in modern utilisation such as plantation crops and agro-biotechnology.
The development in technology for in situ tests have been very rapid for the last one decades especially in the field of civil engineering and environmental industries. Many testing methods and material characterization have been introduced which include the geophysical engineering and environmental techniques. The effectiveness, accuracy and fast as well as relatively low operational cost have made geophysical techniques become important tools in engineering site investigations and in environmental monitoring works. There are various geophysical techniques that can be used to obtain many engineering parameters of material below surface and this field requires skilled and experienced geophysicists to interpret geophysical data collected from the field.
This programme is designed to provide students with specialist training into all aspects of Applied Geophysics, from the basic physical principles through practical applications to state of the art technical geophysical innovations. The main thrust of the course is towards Engineering and Environmental Geophysics industries. The broad-based approach allows graduates to pursue their career options including consulting, research and teaching as well as to prepare themselves for further studies at higher levels. It is also targeted at working professionals wishing to update their knowledge or acquire new skills in the field of engineering and environmental geophysics
Study Duration
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
| Semester | Course Type | Course Code & Name | Total Credit |
| I | Core Course | STPD6024 Research Methodology STAP6073 Environmental Management System STAP6974 Research Project I | 11 |
| Elective Course | STAG6314 Engineering Geophysics STAG6324 Environmental Geophysics STAG6334 Instrumentation and Field Geophysics | 12 | |
| II | Core Course | STAP6092 Environment Ethics STAP6986 Research Project II | 8 |
| Elective Course | STAG6343 Geophysical Data Processing STAG6353 Geophysical Data Interpretation STAG6363 Hydrogeology and Contaminant Process | 9 | |
Total Credits | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in scientific research. Students are introduced to the philosophy of science and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and free from plagiarism. Students are given the opportunity to present and defend their proposal in a seminar. Students will be evaluated based on written and oral presentation of the research proposal, and final examination
STAG6314 Engineering Geophysics
This course discusses basic principles of geophysical methods that are used in site investigation to obtain subsurface engineering information. Emphasis will be given to latest geophysical techniques (surface and subsurface) used in the industry. The relationship between geophysical parameters and engineering geological properties of rock and soil will be discussed together with some case studies.
STAG6324 Environmental Geophysics
This is an introduction course to theory and application of geophysical methods (Geoelectrical resistivity, seismic, magnetic, gravity, induced polarization, self potential, electromagnetic and ground penetration radar) for environmental evaluation of development sites. Special emphasis on waste disposal and contaminated sites, detection and mapping of sinkholes and shallow buried objects as well as case studies will be given.
STAG6334 Instrumental and Field Geophysics
This course will discuss the working principle of various geophysical instruments and develop skills of students to operate the equipment for quality geophysical field data collection and a full understanding of the limitations of each instrument in use. At the end of the course, students are able to handle and import data recorded in the equipment used.
STAG6343 Geophysical Data Processing
This course covers the basic principles of methods used in analyzing digital signal for geophysical applications. Data processing and practice is provided in labs using software such as RES2DINV, SeisOpt, Oasis Montaj, Sketctup and Google Earth. The basic to understanding of classification and signal system representation and the menus contained in the software are emphasized and examples of usage will also be discussed.
STAP6353 Geophysical Data Interpretation
This course covers the basic principles of engineering and environmental geophysical data interpretation. Emphasis will be given to digital surface and subsurface geophysical data used in the industry and the application of computer software for data interpretation, results presentation (reports, graphic and maps) and communication as well as to build up the student ability to relate results and local geology.
STAG6363 Hydrogeology and Contamination Process
This course focuses on the basic theory of ground water flow and geological control which also covers evaluation, application and characterization of water resources. Understanding the inorganic chemistry and organic compounds in ground water, multiphase movement, transformation, retardation and attenuation of contaminants and other related geological processes will also be discussed.
Faculty of Science and Technology (FST) is the largest faculty in the UKM offering a total of 30+ postgraduate programmes. All our programmes integrate the exploration of new knowledge for the creation of graduates who are learned, dynamic and guided by national aspirations.
Strategic location in Klang Valley, Malaysia.
UKM is a leading research University in the country
Expertise in various fields of science and technology and encourage cross discipline research
Highly ranked in QS subject ranking
High graduate employability
Programmes are accredited by Malaysian Qualifications Agency (MQA)
Accessible to living laboratories
Opportunity for research collaboration with International Universities and conduct research abroad
The field of Physics in the Department of Applied Physics includes four main research domains, namely Material, Space, Energy, and Theoretical. Materials research covers a broad range of topics such as nanomaterials, biomaterials, electronic, optical, and magnetic. Meanwhile, the Space field studies cover research in the fields of astronomy, astrophysics, and space weather which comprise fieldwork, theoretical, and data analysis approaches through collaboration from national and international levels. On the other hand, the area of Energy studies focuses on photovoltaic technology (PV) which includes energy conversion materials, as well as energy generation through indoor and outdoor experiments. Meantime, Theoretical Physics covers the fundamental aspect behind astrophysics, cosmology, matter, and energy via in depth mathematical studies of general relativity and quantum mechanics, and perhaps their unification attempts i.e. in the field of quantum gravity, string and brane.
PhD (Arkansas)
✉️ ras@ukm.edu.my
Expertise: High-temperature Superconductor

PhD (UKMalaysia)
✉️ khoo@ukm.edu.my
Expertise: Radiochemistry, Neutron Activation Analysis, Radiological Impact Assessment, Reactor Physics, Nuclear Physics

PhD (Warwick)
✉️ hafizhj@ukm.edu.my
Expertise: Lead Free Ferroelectrics, X-ray Diffractions

PhD (Warwick)
✉️ baayah@ukm.edu.my
Expertise: Magnetic thin film, rare earth

PhD (Durham)
✉️ adlyka@ukm.edu.my
Expertise: Astronomy and Astrophysics

PhD (Kyushu)
✉️ zana@ukm.edu.my
Expertise: Space weather, Earth's Ionosphere, Geomagnetic Field

PhD (UMalaya)
✉️anuaralias@ukm.edu.my
Expertise: General Relativity, Braneworld, Wormhole, Geometrodynamics, Cosmology

PhD (Cambridge)
✉️imranyusuff@ukm.edu.my
Expertise: Experimental High Energy Physics

PhD (UKMalaysia)
✉️ asif@ukm.edu.my
Expertise: Nonlinear and Quantum Optics, Polaritonics, Advanced Materials

PhD (UiTM)
✉️ siddiqfadhil@ukm.edu.my
Expertise: Conductivity and Dielectric, Optical and Luminescence, Rare Earth doped Glass, Nanoparticles doped Glass

PhD (UKMalaysia)
✉️mazuwa@ukm.edu.my
Expertise: Photocatalysis, Photoelectrocatalysis,
Electrocatalysis/Catalysis,
Biomimetic Materials,
Functional Catalytic Membrane,
Functional Cellulose

PhD (Wollongong, Australia)
✉️maro@ukm.edu.my
Expertise:
Radiation Physics, Supercapacitors, Quantum Optics

PhD (Southampton)
✉️ narizee@ukm.edu.my
Expertise: Optoelectronics, Photonics, Fibre Optics, Optical Sensors, Microresonators

PhD (UMalaya)
✉️asaz@ukm.edu.my
Expertise: Theoretical Physics, Computational Physics, Gravitation, Astrophysics, Cosmology

PhD (UMalaya)
✉️rozida@ukm.edu.my
Expertise:
Plasma thin film technology optics
PhD (USMalaysia)
✉️wannurfadhilah@ukm.edu.my
Expertise: Computational Chemistry, Electronic Structure (Organic), Muon Spin Relaxation, Polymer (Aptasensor & Solar Cell)

PhD (UPMalaysia)
✉️ zazai@ukm.edu.my
Expertise: Dielectric ceramics, electrolyte ceramics

This programme offers students to conduct PhD level scientific research at Universiti Kebangsaan Malaysia (home institution) and Gifu University (host institution). The field offered is in the field of Materials Science and Engineering. This field is further divided into several areas of specialization that will highlight the areas of expertise of FST and UKM in research in line with the status of Research University (RU).
Research & Full Time
6 – 12 semesters (3 – 6 years)
Intake – every April
*subjected to UKM academic calendar
English Language
| Semester | Course Type | Code and Name of Course | Total Credit |
| I or II | Core Course |
| 10 |
| III | Thesis Progress Evaluation (Research Progress) | ||
| V | Thesis Progress Evaluation (Research Progress) | ||
STPD8014 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researcher with caliber. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students also has the opportunity to produce a review paper based on their literature review and experimental design. Students will be evaluated based on the writing of literature review and research proposal, attendance, as well as oral presentation of the research proposal.
The Master of Science (Chemistry) by coursework offers a package of a minimum of one semesters for full-time students and four semesters for part-time students. This program is offered to qualified students from chemical industries, private colleges, research institutions, teachers and government sector which have limited time to further their studies. Graduates from this program are expected to have in-depth knowledge in advanced areas of chemistry and competence in solving problems inchemistry and related sciences.
Course Work & Full Time
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
English Language
| Semester | Course Type | Code and Name of Courses | Total Credit |
| I | Core Course | STPD6024 STKK6113 STKK6313 STKK6513 STKK6713 STKK6972 | 18 |
Elective Course
| STKK6342 STKK6542 | 4 | |
| II | Core Course | STKK6123 STKK6323 STKK6523 STKK6723 STKK6986
| 18 |
| Elective Course | STKK6142 STKK6762 | 4 | |
Total Credit | 40 | ||
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STKK6113 Quantum Chemistry
This course introduces and discusses the basic principles in quantum theory; topics include wave-particle duality principle, uncertainty principle, Schrödinger equation, normalization and quantization, the born interpretation of the wave function, operators, eigenvalues and eigen functions, probability and expectation values. The application of wave function in solving the particle in a box and motion in one dimensions for translational motion; the energy levels and the wave functions for vibrational motion; and rotation in one and three dimensions, and spin for rotational motion will be included in discussion. In the second part of this course, the material covers the following topics: atomic spectra, structure of H atom, ionization energy, molecular structure, molecular orbital theory, bonding and antibonding orbitals, linear combinations of atomic orbitals (LCAO) theory, Huckel molecular orbital theory and computational chemistry will also be discussed.
STKK6123 Advanced Polymer Chemistry
Lectures are divided into three basic aspects i.e. mixing thermodynamics, miscibility and colloidal blending. The topics to be discussed are enthalphy, entrophy and free energy, molecular interaction and compatibility. Discussion on polymer miscibility will be on viscosity, rheology, morphology and phase equilibrium, physical and mechanical properties, and solution and melt-blending. Colloidal blending will be discussed with respect to dispersion of colloid, dispersed and dispersing phases, and agglomeration of amphifilic molecules, micelle structure and properties, colloidal stability, dispersing agents, and colloidal mixing.
STKK6142 Electrochemistry
Topics to be discussed include choice of solvent and electrolyte, cell design and electrodes, voltammetric techniques for synthetic reactions, electrochemical synthesis by controlled potential electrolysis, spectro-electrochemistry, electrochemical reactions in an aqueous media and organic solvent. Besides that, applications in battery research and technology as well as chemical sensor/ biosensor will be introduced. Furthermore, application of electrochemistry in industrial including chlor-alkali industries, electrosynthesis and electroplating will be discussed.
STKK6313 Inorganic Reaction Mechanism
This course will expose students to all aspects of basic inorganic reaction mechanisms, namely the process of bond formation and cleavage, electron transfer, the nature of intermediates, medium and other effects, in inorganic and organometallic redox and substitution reactions, including those which underlie important catalytic, environmental, biological and industrial processes. Besides that the important inorganic and organometallic reactions will also be discussed to strengthen the understanding of the students in inorganic mechanism.
STKK6323 Applied Inorganic Chemistry
This course will discuss one important topics in inorganic chemistry relating to our daily life, firstly, the structural and functions of metal/metal ions in our life such as minerals, vitamin and coenzymes will be discussed. In addition, biochemistry reactions involving metal ions such as uptake, transport and storage of metal ion as exemplified by iron; copper-proteins, photosynthesis, coenzymes and catalytic enzyme reaction will also be included. Secondly, the important of inorganic compounds in industries as catalyst will be discussed. Mechanisms of homogeneous catalyst will be discussed in detailed and discussion on heterogenous system is concentrated on liquid and gas systems.
STKK6342 Physical Inorganic Chemistry
Course involved in-depth study on the properties and reactions of inorganic compound. The main focus is on the substitution reaction of the octahedron complexes, tetrahedron and square planar. The concept of stable, labile and mechanism steps, stereochemistry, trans effect and experimental evidence of associations and exchange mechanism will be studied. Other than substitution reaction, redox reactions with internal and external spherical concept and reactions of coordinated ligands are also investigated. Coordinated ligand reaction involved hydrolysis of ester amide and peptide, template and electrophilic. Reactions related to biochemical system will also be discussed.
STKK6513 Organic Synthesis
Reaction leading towards the formation of carbon-carbon bonds, summary of reactions especially involving functional group interconversion. Synthetic methods with emphasis on discovery, development and use of chemical reaction in synthesis; limitations and scope of the reactions in questions. Multi-step synthesis of natural products as templates for various synthetic approaches and strategies. Synthetic reagents using organometallic compound will also be discussed.
STKK6523 Spectroscopy in Organic Chemistry
This course introduced the structural determination and stereochemistry of organic compound. Theory and application of modern spectroscopic methods for this particular aim will be discussed including ultraviolet, infrared, one and one- dimensional NMR and mass spectrometry. In addition, step by step approach instructural elucidation of organic compounds which involves abstraction and interpretation of ultraviolet, infrared, one and one-dimensional NMR and mass spectral data will be discussed in detail. Other than focusing on the structural elucidation exercises based on spectroscopic data, hands-on application of the instrument will also be done during one slot of practical work. The importance of spectroscopic and physical data in stereo-chemical determination of organic compound will also be covered.
STKK6542 Reaction Kinetics and Mechanism
This course explores on the details on method and data interpretations in parallel to the kinetic of an organic or inorganic reactions. Mathematical treatment of the proposed mechanisms which should be in agreement with the kinetic data obtained. The mechanism for several common reaction including substitution, redox, catalysis acid base, polymerization and enzymatic reactions will be studied. Stopped flow and temperature jump technique will also be introduced. The linear free energy relationship, isotope effect and mathematical treatment of some complex reactions will be discussed.
STKK6713 Principles of Analytical Instrumentation Design
Understanding on the chemical principle of qualitative and quantitative in designing analytical instrumentation is incorporated. System and component in the analytical instrumentation – light source, heater, optic, pump, motor, operational amplifier, electronic, central processing unit (CPU), vacuum, interfaces, volume and mass measurement, detector and others are discussed. Steps in designing analytical instrumentation system for specific purposes and example of automatic analyser and processing analyzer used in various field will also be introduced.
STKK6723 Chemical Management System
Relation between economy, industry, safety and environment will be introduced. Emphasis is given to the management of hazardous chemicals, scheduled waste and related acts and regulations inMalaysia. The Occupational Safety and Health Acts (OSHA 514), Classification, Packaging and Labelling Hazardous Chemicals Regulations (CPL 1997),Schedule Waste (1989), Use and Standards of Exposure of Chemicals Hazardous to Health (USECHH 2000), Materials Safety Data Sheet(MSDS) will be discussed. Hazard analysis (HAZAN, HAZOP), relation between chemical and toxicology, chemical cycle and emergency of chemical industry, fire and chemicals spillage and disposal of schedule waste and fire safety are also discussed. Introduction to various management systems will be discussed such as for quality assurance (ISO 9001:2000), environmental (ISO 14000) and occupational health and safety (OHSAS 18001). ISO17025. Good Manufacturing Practice. Cradle to Grave Management.
STKK6762 Surface Analysis
This course will discuss the importance of surface analysis, vacuum system, mean free path (MFP), photoelectron phenomenon and Aufer electron. The electron spectroscopy discussion will involve theory, instrumentation and data analysis for XPS, AES and UPS spectroscopy. Surface analysis for solid sample based on sample saturation/unsaturation involving N2 gas, BET equation, surface area, pore size and distribution of pore. Selective saturation based on chemical saturation of the H2 gas and other gases. The normal method used for surface analysis involve an instrumental theory and the use of AFM, SEM and TEM instruments.
STKK6972 Research Project I
The objective of this course is to expose the students to the research in chemistry, which consists of organic, inorganic, analytical, physical and polymer chemistry. The research project will be carried out in one semesters consecutively and each student is expected to submit their dissertation at the end of the second semester. The titles for the projects will be given by the corresponding lecturers who are responsible to guide the students throughout their studies. This project will be evaluated based on the written proposal, presentation and the progress of the project in the first semester.
STKK6986 Research Project II
Research project II is the continuation of Research Project I where the students in this semester are required to write a report in the form of a dissertation on their research findings. The evaluation will be carried out based on the dissertation and oral exam. The project must be written based on UKM’s thesis templates and writing guidelines stipulated in The UKM Style Guide.
This program is offered to address the challenging issues of quality and productivity in the industrial environment. The main courses offered range from total management techniques and their philosophy to product quality improvement and services with more emphasis on the application of the statistical methods. The main message is to make the consumers understand that the application of scientific methods and statistics will bring improvement to product quality and services.
Minimum 2 semesters (1 year)
Maximum 4 semesters (2 years)
Intake – 2 times a year (March & October)
*subjected to UKM academic calendar
English Language
PUBLIC SECTOR MODULE
| Semester | Core Course | Elective Course |
| I | STPD6024 STQK6114 STQK6534 STQK6144
| Choose two (2): STQK6124 STQK6514 STQK6264 STQK6544
|
| II | STQK6324 STQK6524 STQK6988
| |
| Total Credit | 32 | 8 |
MANUFACTURING SECTOR MODULE
| Semester | Core Course | Elective Course |
| I | STPD6024 STQK6114 STQK6534 STQK6144
| Choose two (2): STQK6264 STQK6514 STQK6324 STQK6544
|
| II | STQK6124 STQK6524 STQK6988 | |
| Total Credit | 32 | 8 |
SERVICE SECTOR MODULE
| Semester | Core Course | Elective Course |
| I | STPD6024 STQK6114 STQK6534 STQK6144 | Choose two (2): STQK6124 STQK6264 STQK6324 STQK6544
|
| II | STQK6514 STQK6524 STQK6988 | |
| Total Credit | 32 | 8 |
STPD6024 Research Methodology
This course provides guidance in planning, implementing and succeed in a scientific research. Students are introduced to the science philosophy and ethics necessary to be adopted by researchers. Students are given exposure to determine and manage risks in scientific research. Apart from that, issues and rules related to research such as intellectual property, copyright, plagiarism etc. will be discussed. Subsequently, students are guided to plan their research and prepare a research proposal. For this, students are trained with techniques in information search both manually and on-line, identifying issues and research objectives, planning research and experimental design within their period of study. Students are required to prepare their research proposal according to the format and making sure that it is free from plagiarism by introduction of plagiarism checker system. Students are given the opportunity to present their proposal in a seminar and defend them. Students will be evaluated based on written and oral presentation of the research proposal, and final examination.
STQK6114 Quality Assurance and Standardization
This course aims at giving students knowledge on the quality system in an organization and its role in assuring quality in products and services. Topics that will be discussed include the Total Quality Control, ISO 9000 and its development, documentation and planning of quality system, quality assurance analysis techniques, and quality audits and accreditation. This course also exposes the students to Quality Management System (QMS) based on Islam perspectives and the Syariah principles in supporting and defining QMS MS 1900:2005. Next, the QMS MS1900:2005 is studied on its implementation in various sectors, and method that can improve their competitiveness by adding Islamic values and halal aspects in the process of producing products and providing services, and in the work environment.
STQK6124 Process Control and Quality Improvement
The aim of this course is to illustrate students the importance of process control and quality improvement based on 6Sigma concept and how to apply the 6Sigma methodology in order to identify customers and improve process in an organization. The application of 6Sigma will be divided into one general categories; i.e. in manufacturing and management. Topics that will be discussed include the understanding and definition of 6Sigma concepts and its steps, identification of critical factors for success, measurement strategies including measurement tools, analyze phase, control phase including some control charts such as multivariate charts, CUSUM, EWMA, decision barrier scheme and reliability test, reference measurement, break even analysis of the quality values, learning curve and process improvement.
STQK6134 Total Quality Management
This course introduces students to the concepts of Total Quality Management (TQM) from the aspects of history, philosophy, principles, needs, measurement, reports and its usage. Topics that will be discussed include the historical development of TQM; TQM philosophy, needs and principles of TQM; customer concentration, human resource management, process management, ISO 9000 and its development, documentation and planning of quality system, quality audits and accreditation, and benchmarking.
STQK6144 Organizational Performance Measurement
This course aims at giving students knowledge of the concepts of measuring an organization’s performance, either in public or private sector. Emphasize will be given on the questions of why performance measurement is an essential element in an organization and how it can be done. One of the performance principles that are important is the Key Performance Indicators (KPI) and its linkages to the organization’s strategic planning. Other performance principle that will be highlighted is the Balanced Scorecard (BSC) that measures performance in 4 major perspectives: Internal Process, Customer, Finance and Human Capital. Implementation aspects of BSC and its challenges will also be discussed. Several case studies will be presented in order to enhance the knowledge of students towards the performance measurement through BSC implementation.
STQK6264 Supply Chain Management
This course is an introduction to the supply chain concept and will explore the management of supply chains to improve an organization’s overall supply efficiency. Other concepts included are the definitions of supply chains, identification procedures, an overview of methods, processes, and systems that are used in the operation of supply chains, and the applications of methods, processes, and systems to improve supply chain performance.
STQK6324 Service Delivery System in the Public Sector
In this course, student will be exposed to the service delivery system of the government agencies. Students need to understand various policies, regulation and circulation about various types and level of public service released by the Public Service Department of Malaysia. The history aspects of the public service and its evolution in Malaysia also will be discussed. Among important approaches in the public service that will be discussed includes ‘Best Value Review’. Comparison with various service delivery systems from other countries, particularly from Australia, United Kingdom, USA and Canada will also be touched. Case study on the public service system in the government agencies will also be discussed
STQK6514 Quality Management in Service Sector
This course explains to students the definition of ‘customer service’ and ‘service excellence’, basis of service excellent and the importance of services excellent in an organization. The importance aspect is how an organization can manage the customer complaint and solve the problem that being complaint by the customer. It also discusses the barrier to service excellence. The aim of this course is also to introduce students the methods of Customer Relationship Management (CRM) which is one of the important business strategies for an organization which put customers as the main focus. Students will get to understand the meaning and concepts of CRM and its importance to any organization, especially business organizations. Implementation of CRM in an organization includes aspects such as customer profiling, customer data warehousing and customer data mining, and also problems often encountered whilst implementing it will be discussed. Other aspects are customer satisfaction measurement, customer loyalty, customer equity concept and value equity. The usage of information technology makes the implementation of automatic CRM easier and establishment of Call Centre or Customer Service Centre is also discussed.
STQK6524 Productivity Measurement
This course introduces the concept of measuring the productivity of a firm, which efficiently convert inputs into outputs. Productivity measurement is a way which provides an excellent medium to monitor the status of productivity, and to explicitly relate productivity to its other strategic objectives. Topics discussed include productivity indicators, Data Envelopment Analysis (DEA) method, Index numbers and Malmquist Index. Several applications of the DEA method and Malmquist Index will be discussed.
STQK6534 Marketing Research Methods
This course discusses the research in marketing. Students will be exposed to the scientific research methods in order to understand and be able to analyze any problem in an organization. Comprehension of problem statement, research issues, research design, collection and analysis of data will be discussed in detail. The best approach in producing an ‘Executive Summary’ will also be discussed. The use of SPSS statistical package to analyze data and the interpretation of the outcomes of the statistical analysis will be delivered to students. In this case, several concepts and statistical analysis techniques will be discussed using collected data from a selected real life problem.
STQK6544 Quality Design and System Reliability
This course explores how statistics is used for controlling quality of product design and the process in manufacturing industry and furthermore for reliability assurance in production system. Experiments done by most researchers from various fields will be made an example in teaching and learning of this course. The outcomes from the analysis of these experiments depend and rely on the factors (whether the factors are fixed or randomly chosen) and experiment errors. Data collected from the experimental design are not only important to be analyzed statistically but also the ability to interpret the results becoming more important for more established experimental design development having taken into account suitable errors and factors. The topics that will be discussed are design of experiments in quality improvement and control; analysis of variance, f-test, multiple comparison, completely randomised design, factorial design, orthogonality, optimal blocked and design; Taguchi quality definition, Taguchi method, signal-noise ratio, robust design, loss function and output tolerance, reliability and failure function; life time distribution, model selection and fitting; repairable systems; fault tree; life testing plan; accelerated life testing; failure rating models and regression.
STQK6988 Research Project
Research project is a compulsory course work involving case study/literature survey/research. The student is required to conduct the research study under supervision of a supervisor. The student is also required to select a pertinent topic as agreed to by the supervisor. The students are required to write up a comprehensive and scientific report on the study that he/she has conducted.
Program yang ditawarkan dalam pelbagai bidang Sains dan Teknologi memberi peluang kepada pelajar untuk mendalami proses penyelidikan. Pelajar-pelajar Pascasiswazah dipupuk untuk membina reputasi penyelidikan mereka yang cemerlang dalam penemuan saintifik. Pelajar FST juga digalakkan untuk terlibat dengan kolaborasi penyelidikan di dalam Malaysia dan di peringkat antarabangsa.
21 Bidang yang ditawarkan:
Penyelidikan & Sepenuh masa / Separuh masa
| Sepenuh masa | Separuh masa |
| 4 – 6 semester (2 – 3 tahun) | 6 – 8 semester (3 – 4 tahun) |
Kemasukan: 2 kali setiap tahun (Mac dan Okt)
*tertakluk kepada kalendar akademik UKM
Bahasa Inggeris
| Semester | Taraf Kursus | Kod dan Nama Kursus | Jumlah Kredit |
| I atau II | Kursus Wajib | STPD6024 Kaedah Penyelidikan | 4 |
| III | Pemantauan Tesis (Penilaian Laporan Kemajuan) | ||
Kursus ini bertujuan memberi panduan dalam merancang, melaksana dan menjayakan sesuatu penyelidikan saintifik. Pelajar didedahkan kepada falsafah dan etika sains bagi membentuk penyelidik yang berwibawa. Pendedahan diberikan agar pelajar mampu mengenal pasti dan mengurus risiko dalam penyelidikan saintifik. Selain itu, pelbagai isu dan perundangan berkaitan penyelidikan seperti harta intelek, hakcipta, plagiarisme dan sebagainya juga dibincangkan. Selanjutnya pelajar dibimbing untuk merangka projek penyelidikan masing-masing dan diminta menyediakan kertas cadangan penyelidikan. Untuk itu, pelajar dilatih dengan teknik-teknik pencarian maklumat secara manual dan dalam talian, mengenal pasti isu serta objektif penyelidikan, merancang penyelidikan dan mereka bentuk eksperimen dalam tempoh masa pengajian. Pelajar diminta menyediakan kertas cadangan menggunakan format yang diberikan dan dipastikan bebas plagiat. Pelajar berpeluang membentangkan cadangan dalam seminar dan perlu mempertahankannya. Pelajar dinilai berdasarkan penulisan dan pembentangan cadangan penyelidikan serta peperiksaan akhir.
Ketua Program, Jabatan Sains Bumi dan Alam Sekitar Dr. Nurul Ain’ Ab Jalil Emel : nurulain@ukm.edu.my Bidang: |
Ketua Program, Jabatan Sains Biologi dan Bioteknologi Dr. Wan Syaidatul Aqma Wan Mohd Noor Emel : syaidatul@ukm.edu.my Bidang: |
Ketua Program, Jabatan Sains Kimia Prof. Madya Dr. Siti Aishah Hasbullah Emel : aishah80@ukm.edu.my Bidang: |
Ketua Program, Jabatan Sains Makanan Dr. Norlida Mat Daud @ Daud Emel : norlida.daud@ukm.edu.my Bidang: |
Ketua Program, Jabatan Sains Matematik Prof. Dr. Anuar Mohd Ishak Emel : anuar_mi@ukm.edu.my Bidang: |
Ketua Program, Jabatan Fizik Gunaan Prof. Madya Dr. Khoo Kok Siong Emel : khoo@ukm.edu.my Bidang: |