CS771 - MASTER OF QUANTITATIVE SCIENCES

Infographic

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:

  1. modelling and problem solving
  2. computing skills
  3. 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.

Who should join this program?

Statistics and Mathematics related students

Entry Requirement

Further information, please contact:
Dr Zalina Zahid
Koordinator Program CS771
Tel: 03-55435318

Tracks

  1. Specialization 1: Financial Engineering 

  2.  Specialization 2: Operations Management 

  3.  Specialization 3: Quantitative Economics

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

Duration & Intake

Full Time (3-4 semesters)

Part Time (4-8 semesters)

Intake : March and September