Programme Information - Taught Postgraduate Programmes (TPg)

Applications for Taught Postgraduate Programmes are accepted starting from 15 November 2017.

MA Quantitative Analysis for Business


Year of Entry 2018
Mode of Funding Non-government-funded
Programme Code P08
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
Programme Website Click here to open
Tuition Fee Click here for more information
Application Deadline
30 Apr 2018 (Local & Non-local)
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
+852 3442 8645
† 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.

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:
  • TOEFL score of 550 (paper-based test) or 79 (internet-based test); 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 Methods I
  • Statistical Methods II
Any 8 of the following courses:
  • Business Survey Methods
  • Business Analytics with Spreadsheet
  • Contemporary Topics in Quantitative Analysis for Business
  • Data Mining
  • Forecasting Methods for Business (#)
  • Quantitative Analysis Project
  • Quantitative Methods
  • Statistical Modelling in Economics and Finance
  • Statistical Modelling in Marketing Engineering (#) 
  • 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.