Taught Postgraduate Programmes (Tpg)

Department of Management Sciences

MSc Quantitative Analysis for Business


Year of Entry 2019
Mode of Funding Non-government-funded
Programme Code P08
Intermediate Award
Mode of Programme Combined
Class Schedule Weekday evenings
Indicative Intake Target 80
Minimum No. of Credits Required 30
Normal Duration of Programme Full-time: 1 year; Part-time: 2 years
Maximum Study Period Full-time: 2.5 years;
Part-time/Combined mode: 5 years
Tuition Fee Click here for more information
Application Deadline
Local : Closed
Non-local : Closed
Mode of processing Rolling Basis
Programme Leader
Siu-Keung TSE
PhD (U Wis-Madison)
General Enquiries
+852 3442 8645

Programme Aims and Objectives

The programme offers a comprehensive coverage of quantitative methods (including courses on data-mining, marketing research, financial modeling and risk management) and adopts the point of view of business intelligence, drawing on practical experience and knowledge in the fields. The programme benefits from the use of relevant software packages to reinforce students’ understanding of the concepts, methods and processes introduced.

Entrance Requirements

Applicants must:

  • hold a recognised Bachelor’s degree with Honours, or equivalent. An undergraduate degree in Statistics is not a prerequisite.

Selection will be based on the candidate’s academic performance in previous studies, relevant working experience (if any), motivation and potential of the candidate and performance in the interview.


Applicants whose entrance qualification is obtained from an institution where the medium of instruction is not English should also fulfill the following minimum English proficiency requirement:

  • Score 550 (paper-based test) or 59 (revised paper-delivered test) or 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL); or
  • Overall band score of 6.5 in International English Language Testing System (IELTS); or
  • Score 450 in the new College English Test (CET6) of Chinese mainland or a pass in the old CET-6 test; or
  • Other equivalent qualifications

Course Description

Core Course

  • Statistical Data Analysis
  • Applied Linear Statistical Models


Any 8 of the following courses:

  • Business Survey Methods
  • Business Analytics with Spreadsheet
  • Contemporary Topics in Quantitative Analysis for Business
  • Data Mining
  • Decision Analytics
  • Predictive Modeling and Forecasting for Business
  • Predictive Modeling in Marketing
  • Quantitative Analysis Project
  • Statistical Modelling in Economics and Finance
  • Statistical Modelling in Risk Management (#)
  • College of Business Elective (not more than two courses)

 (#) CEF reimbursable courses

Bonus Features

Use of statistical software to conduct data analysis is an integral part of the programme.  Students will have access to the latest SAS statistical software including the Enterprise Miner (EM) used as a primary data mining tool by many business organizations in Hong Kong and elsewhere.