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Programme Profile

The Master of Quantitative Science programme is offered on a full-time and part-time basis in order 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:
  • modeling 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.

Programme Objectives

To produce graduates who are able to:

  • acquire the appropriate knowledge of quantitative sciences for decision making.
  • apply acquired skills of using quantitative sciences models for problem solving.
  • evaluate solutions using critical thinking with scientific skills for better decisions making.
  • communicate ideas on problem solving in oral and written form.
  • collaborate effectively as a team.
  • demonstrate ethical values and professionalism in decision making.
  • manage information and demonstrate life-long learning skills.
  • apply good managerial and entrepreneurial skills.
  • demonstrate leadership skills.

Admission Requirements

  • Bachelor Degree qualification in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering, Economics, Business Studies or any related programme with minimum CGPA of 2.75 or its equivalent, recognized by the UiTM Senate; or
  • Bachelor Degree qualification in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering, Economics, Business Studies or any related programme with minimum CGPA of 2.50 or its equivalent, recognized by the UiTM Senate, with at least two (2) years relevant working experience.

Programme Structures

Students are required to select one of three specializations: Financial Engineering, Operations Management and Quantitative Economics. Students are required to complete a total of 42 credit hours comprising of 11 courses (3 credit hours each), and a dissertation (9 credit hours).

Mode and Duration

Full-time: 3 – 6 semesters
Part-time: 4 – 8 semesters

Classes are conducted on weekday evenings and Saturday.

Plan of Study

All students are required to take the following courses:

Semester 1 Year 1
Operations Management, Applied Econometrics, Advanced Time Series Modelling and Forecasting and one elective course.

Semester 2 Year 1
Research Methodology, Applied Data Mining, Advanced Operations Research and two elective courses.

Semester 3 Year 2
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.

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, International Business.

Suitable Candidates

Fresh graduates, researchers, professionals and executives who wish to enhance their analytical skills in decision making that are relevant for their career advancements in the public and corporate sectors.

Career Opportunities

Degree holders in Quantitative Sciences can be employed in managerial tasks such as decision making, market research, quality control, supply chain operation, banking and financial in both public and private sectors