MSc Quantitative Analysis for Business

Year of Entry


Application Deadline

Application Closed

Mode of Study


Mode of Funding


Indicative Intake Target


Minimum No. of Credits Required


Class Schedule

Weekday evenings

Normal Study Period

Full-time: 1 year; Part-time: 2 years

Maximum Study Period

Full-time: 2.5 years;
Part-time/Combined mode: 5 years

Mode of Processing

Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.
Programme Leader
Dr Siu-Keung TSE
PhD (U Wis-Madison)
General Enquiries
Ms L Y Chung
+852 3442 8645
+852 3442 0189
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.

† Combined mode: Local students taking programmes in combined mode can attend full-time (12-18 credit units per semester) or part-time (no more than 11 credit units per semester) study in different semesters without seeking approval from the University. For non-local students, they will be admitted to these programmes for either full-time or part-time studies. Non-local students must maintain the required credit load for their full-time or part-time studies and any changes will require approval from the University.