INTRODUCTION
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. Candidates are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytics 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.
ENTRY REQUIREMENTS
Candidates who wish to apply must have the following qualifications:
a) Bachelorof Science degree with a good CGPA (3.00 and above) from Universiti Kebangsaan Malaysia or other universities approved by the Senate; or
b) Bachelorof Science degree with minimum CGPA of 75 from Universiti Kebangsaan Malaysia or other universities approved by the Senate with relevant work experience; or
c) Bachelor’s degree in the field of Social Sciences with a good CGPA (3.00 and above) from Universiti Kebangsaan Malaysia or other universities approved by the Senate. This should include a pass with credit in Mathematics or Statistics subject at undergraduate level, OR a distinction in Mathematics or a pass in Additional Mathematics at SPM level.
For candidates who have already obtained a degree as mentioned above in more than TEN (10) years, you are required to sit in preparatory classes for three courses (Mathematical Statistics, Modelling and Data Analysis, and Calculus and Matrix Algebra for Statistics) before starting the master’s course.
PROGRAMME EDUCATIONAL OBJECTIVES (POE)
POE1: To produce students with the national aspiration who are able to master and apply mathematics, statistics and computing knowledge to meet the needs of the stakeholders and the public.
POE2: Equip students with the ability to utilise the data science problem solving methods in translating and synthesizing their understanding towards issues on nature, human, current changes and development.
POE3: Equip students with highly creative and innovative abilities and able to contribute ideas towards the process of policy establishment, decision making and development implementation.
PROGRAMME LEARNING OUTCOME (PLO)
PLO1: Able to relate mathematical, statistical and computing knowledge to various aspects of life.
PLO2: Able to analyse and interpret the solutions obtained using the suitable model and software in accordance with the data processing environment to generate new ideas.
PLO3: Able to think and argue maturely with stable emotion and be socially responsible towards society and the environment.
PLO4: Possess moral values, ethics and professionalism.
PLO5: Able to communicate effectively visually and verbally, as well as to lead and work in a team.
PLO6: Able to use analytical and algorithmic techniques on big data to retrieve the hidden information.
PLO7: Able to assess problem, make critical analysis, find solution and make decision in a variety of conditions through a scientific approach.
PLO8: Able to understand the impact of data science solution in every dimension of life.
PROGRAMME STRUCTURE
This programme is divided into three modules as follows:
- Data Computing
- Data Analytics
- Finance and Business Analytics
Candidates must register and pass at least 36 credit hours (core and elective courses) and complete a capstone project of 9 credit hours.
Data Computing Module
Data Analytics Module
Finance and Business Analytics Module
COURSE OFFERED
STQD6114 Unstructured Data Analytics
STQD6124 Data Visualization and Communication
STQD6134 Business Analytics
STQD6324 Data Management
STQD6334 Multicriteria Decision Making
STQD6524 Statistical Methods for Computational Biology
STQM6154 Network Science
STQS6234 Bayesian Inference
STQS6284 Multivariate Analysis
STQS6444 Time Series Modelling and Forecasting
STQA6014 Investment Analysis and Portfolio Management
STQA6034 Issues in Risk Management and Insurance
EPPK6014 Theory, Process and Practice of Entreprenuership (FEP)
TTTP6014 Information Policy and Ethics (FTSM)
TTTS6024 Information Modelling and Database (FTSM)
ZCMA6072 Business Ethics and Corporate Governance (GSB)
ZCMB6112 Information Management System (GSB)