Programmes 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 two streams. A student will be admitted to either the Information Analytics Management (IAM) or the Quantitative Analysis for Business (QAB) stream.
Programmes Details
Admission Code
P84
Year of Entry
2026
Intake Target
365
Mode of Study
Combined
Credit Requirement
30
Level of Study
Master's Degree
Mode of Funding
Non-government-funded
Tuition Fee
HKD 330,000
Normal Study Period
Full-time: 1 year
Part-time/Combined mode:
2 years
Part-time/Combined mode:
2 years
Max Study Period
Full-time: 2.5 years
Part-time/Combined mode:
5 years
Part-time/Combined mode:
5 years
Class Schedule
Weekday (daytime and evening) and possibly Saturday
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
General Enquiries
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
- 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL)@#; or
- an overall band score of 6.0 in International English Language Testing System (IELTS)@##;
- or a score 450 in the new College English Test (CET6) of Chinese mainland; or
- other equivalent qualifications.
@ TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the start of the University's application period. 'TOEFL iBT Home Edition', ‘TOEFL MyBest Score’, ‘IELTS Indicator’, ‘IELTS One Skill Retake’ and ‘IELTS Online’ are not acceptable.
# Applicants are required to arrange with the Educational Testing Service (ETS) to send their TOEFL results directly to the University. The TOEFL institution code for CityUHK is 3401.
## Applicants are required to arrange for sending their IELTS result(s) via the IELTS Results Service e-delivery to the University. Please note that applicants with an overall band score of 6.0 will be required to pass an interview for English proficiency conducted by the concerned academic unit. Interviews for other applicants may not be required.
# Applicants are required to arrange with the Educational Testing Service (ETS) to send their TOEFL results directly to the University. The TOEFL institution code for CityUHK is 3401.
## Applicants are required to arrange for sending their IELTS result(s) via the IELTS Results Service e-delivery to the University. Please note that applicants with an overall band score of 6.0 will be required to pass an interview for English proficiency conducted by the concerned academic unit. Interviews for other applicants may not be required.
Course Description
Core Courses
Database Management Systems
Data Visualization
Statistical Data Analysis
Data Mining
Information Analytics Management Stream Core
Machine Learning and Social Media Analytics
Information Analytics Management Stream Electives
Complete 15 credits with at least 9 credits obtained from the following stream elective courses:
Analytical Programming with Python
Business Data Analytics
Blockchain Technology and Business Applications
Information Systems Project
Innovation and Technology Entrepreneurship
Management Support and Business Intelligence Systems
Project Management and Quality Assurance
Generative Artificial Intelligence for Business
Artificial Intelligence for Business Applications
Large Language Model with Prompt Engineering for Business
AI Ethics and Regulations
Business Practice Internship
Foundations of Information and Electronic Business Systems
Information Analytics Management Project
The remaining credits can be obtained by taking postgraduate elective courses offered by any department in the College of Business.
Quantitative Analysis for Business Stream Core
Applied Linear Statistical Models
Quantitative Analysis for Business Stream Electives
Complete 5 electives with at least 4 chosen from the following list:
AI-Enhanced Business Analytics with Excel and Python
Contemporary Topics in Quantitative Analysis for Business
Decision Analytics
Predictive Analytics with Excel and R
Predictive Modeling and Forecasting for Business
Predictive Modeling in Marketing
Project Management
Statistical Modelling in Economics and Finance
Statistical Modelling in Risk Management
The remaining elective is a postgraduate course offered by any department in the College of Business.
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