The aim of the programme is to produce graduates who are capable in data analytical skills, able to create knowledge from data, and solve real life problems in multidisciplinary fields. This unique programme implements a holistic approach in data analysis by including both qualitative and quantitative aspects plus variety of methods through hands-on approach. This programme will produce data analysts who are capable of analysing the diversity of data (qualitative: text, narrative & visual; and quantitative: numerical) which is demanded in the industries specifically in research and development field (R&D). Quality research findings greatly trigger innovation, and this is important to become a developed nation by 2020.

PROGRAMME STRUCTURE

The Master of Science (Data Analysis) programme is offered by coursework. Students are required to complete at least 41 credit hours, which comprises the following:

Core Courses (29 credit hours)
SQQM5013 Risk Analysis
SQQP6014 Operational Research
SQQS5013 Exploratory Data Analysis
SQQS5023 Inferential Techniques
SQQS5034 Qualitative Data Analysis
SQQS5043 Psychometrics
SQQS5053 Applied Multivariate Data Analysis
SQQS5063 Forecasting Techniques
SQQS6013 Research Methods

Elective Courses (6 credit hours)
Students are required to choose any two (2) courses from the courses listed below:
SQIT5013 Business Programming Using Visual Tools
SQQM5023 Topics in Mathematical Modelling
SQQP5043 Simulation for Decision Making
SQQP6023 Heuristic Techniques for Combinatorial Optimization Problems
SQQS5073 Structural Equation Modelling
SQQS5083 Body Language Analysis
SQQS5093 Rasch Analysis
SQQS5103 Quality Management and Improvement
SQQS5113 Applied Survival Analysis

Project Paper (6 credit hours)
SQSZ6996 Project Paper