Programme Description
The Master of Quantitative Science programme is offered to accommodate both working professionals and fresh graduates. The term Quantitative Science may be regarded as related to the use of logical and rational analyses to solve complex decision making problems. It emphasizes the construction of mathematical models to investigate organizational problems to aid decision making.
This program is designed to study that addresses the issues of communication between decision makers, problem solvers and computer system builders, in particular, concentrating on the following elements:
- modelling and problem solving
- computing skills
- the study of context within which decision making takes place
These elements have been integrated into the program’s curriculum and are suitable to the needs of the industry that requires knowledge workers in all areas of economic sectors.
Why is the program so special?
Students will be equipped with a strong quantitative skill set that can analyse a large amount of data and transform it into clear information that is critical to an organisations’ decision-making process.
The curriculum designed for this program is versatile to enable graduates to join other related fields upon entering the workforce. To give students an extra edge in the job market, the faculty also conducts numerous professional certification programs such as SAS Programming and SAS Enterprise Miner, as well as other statistical-related software such as ARENA and LINGO.
Course Detail
Courses
Semester 1
Operations Management
Applied Econometrics
Advanced Time Series Modelling and Forecasting and
one elective course.
Semester 2
Research Methodology
Applied Data Mining
Advanced Operations Research and
two elective courses.
Semester 3
Simulation Modelling and Analysis
Strategic Management
Research Project for Quantitative Sciences
Elective Courses
Students are required to select only two elective courses from the chosen specialization
and one from any specialization
Specialization 1: Financial Engineering
Stochastic Models
Valuation and Risk Management of Fixed Income Securities
Portfolio Theory and Application
Specialization 2: Operations Management
Supply Chain and Logistic Modelling
Project Analysis
Quality Management and Analysis
Specialization 3: Quantitative Economics
Input-Output Analysis
Quantitative Economics Analysis
Applied Sampling and Survey Design
Marketing Models
Quantitative Marketing
Marketing Management