Faculty of Science and Technology
FACULTY OF SCIENCE & TECHNOLOGY
FST to the fore
FST Professional Certificate Programme
Our professional certificate programme was developed for management and professional staff who wish to obtain professional certificates from recognised bodies such as UKM.
Food Product Shelf Life Determination
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This program covers the critical and scientific discussion on the importance of food shelf life to ensure the quality and safety of food products. Various aspects of food products shelf life including the principles and factors that influence the shelf life of food products will be studied theoretically and practically. The scope of the program includes collaborative and effective discussion on the latest issues, challenges, technologies and methods related to determining the shelf life of food products. Practical on Real Time and Accelerated Shelf Life Testing will also be conducted and critically discussed. Practical will include food products stored at freezing, cold and room temperature in the forms of solid, semi-solid or liquid such as crackers, cordial drinks, chips, etc
Dr. Haslaniza Hashim (017-9109747)
Dr. Norul Syuhada Mohd Razali
Dr. Nurul Aqilah Mohd Zaini
Dr. Soffalina Sofian Seng
Entry requirements are as follows:
i. Certificate/diploma/degree students related to food science or related fields;
OR
i. Certificate/diploma/degree holders related to food science or related fields;
OR
iii. Entrepreneur / food product operator with at least one (1) year of experience working in the food industry
However, for prospective students who are still studying at university, the following conditions must be complied with
before applying to the Professional Certificate program:
i. obtain approval from the Dean of their respective faculties to follow the Professional Certificate program at UKM;
ii. obtain approval from the Dean of their respective faculties to bear more learning load for the relevant semester when following the Professional Certificate program at UKM.
RM 760 (UKM student)
RM1130 (UKM staff)
RM 1480 (non-UKM student, UKM alumni)
RM 1850 (non-UKM applicant)
1st intake: 11-15 September 2023 (CLOSED)
2nd intake: 27 – 1 December 2023 (OPEN)
Face to face lectures
– DKB 1, Deanery Building, Faculty Science and Technology, UKM
– B1 Lab, Faculty Science and Technology, UKM
3 September 2023
Data Analytics and Visualization Using
Excel and Power Business Intelligence (BI)
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Data Analytics is a science that analyses raw data to draw conclusions about certain information to make smart decisions in safeguarding the public interest and maintaining environmental sustainability. The program covers three types of data analysis used in all industries, namely Descriptive Analytics, Diagnostic Analytics and Predictive Analytics. The program will discuss the basic understanding of the concept of data analytics using statistical methods and data visualisation methods using Excel and Power Business Intelligence (BI) software. At the end of the program, students will be able to build graphs, charts, plots, pivot tables and dashboards to conduct analysis and ultimately make quality decisions.
Dr. Wan Rosmanira Ismail (019-3592463)
Dr. Zalina Mohd. Ali
Mrs. Faridatulazna Ahmad Shahabuddin
Dr. Muhamad Hilmi bin Abdul Majid
Entry requirements to the Professional Certificate Program Academic Session 2021/2022 are as follows
the following:-
i. Obtain at least a CGPA of 2.50 in the 3rd year of study and pass the Basic Statistics course for Bachelor of Science students or equivalent;
i. Obtain at least a GPA of 3.00 in the current year of study and pass the Basic Statistics course for Master of Science or equivalent students;
iii. Have a minimum of 1 year of work experience for non-student candidates.
RM 650 (UKM student)
RM1300 (UKM staff)
RM 1300 (non-UKM student, UKM alumni)
RM 1600 (non-UKM applicant)
*including food
1st intake: 13 – 16 Mac 2023 (CLOSED)
2nd intake: 18 – 21 September 2023 (CLOSED)
3rd intake: 27 – 30 November 2023 (OPEN)
Face to face lectures
Level 1 Computer Laboratory, Dean’s Building, Faculty of Science and Technology UKM.
3 September 2023