Programme Aims and Objectives

The MSc in Business and Data Analytics (MScBDA) programme aims to cultivate students with professional knowledge of business data analytics through active learning of the theories, methods, supporting techniques across a wide range of knowledge areas such as applied statistics, big data management, data mining and social media analytics.  The MScBDA programme has three streams. Normally, a student will be admitted to either the Information Systems Management (ISM) or the Quantitative Analysis for Business (QAB) streams. Under exceptional circumstances, a student may be considered for admission to the General (G) stream.

Entrance Requirements

Applicants must:

  • hold a recognized Bachelor’s degree in any disciplines with the curricula covering appropriate mathematical knowledge.

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 59 (revised paper-delivered 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
  • Other equivalent qualifications

Course Description

Core Courses

  • Database Management Systems
  • Big Data & Social Media Analytics
  • Advanced Business Software Construction
  • Statistical Data Analysis
  • Applied Linear Statistical Models
  • Data Mining

Information Systems Management Stream Electives

Complete 4 electives with at least 3 chosen from the following list:

  • Management Support and Business Intelligence Systems
  • Business Data Analytics
  • Blockchain Technology and Business Applications
  • Business Intelligence Applications

The remaining elective may be a postgraduate course offered by any department in the College of Business.

Quantitative Analysis for Business Stream Electives

Complete 4 electives with at least 3 chosen from the following list:

  • Decision Analytics
  • Statistical Modelling in Economics and Finance
  • Predictive Modeling and Forecasting for Business
  • Predictive Modeling in Marketing

The remaining elective may be a postgraduate course offered by any department in the College of Business.

General Stream Electives

Any four postgraduate elective courses offered by the College of Business. 

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.

Admission Code P84
MSc Business and Data Analytics
Mode of study
Combined
Year of entry
2020
Mode of funding
Non-government-funded
Intake target
140
Credit requirement
30
Class schedule
Weekday evenings and possibly Saturday afternoons
Normal study period
Full-time: 1 year
Part-time/Combined mode: 2 years
Max study period
Full-time: 2.5 years
Part-time/Combined mode: 5 years
Mode of processing
Rolling Basis
Level of study
Taught Postgraduate
Website
Programme Leader
Dr LAU Yiu Keung Raymond (ISM Stream)
852 34428495
Programme Leader
Prof WAN Tze-Kin Alan (QAB Stream)
852 34427146
General Enquiries
IS General Office (ISM Stream)
852 34428521
General Enquiries
MS General Office (QAB Stream)
852 34428644