Program Overview

MSc in Business Analytics Programme

The MSc in Business Analytics programme is designed to provide students with the fundamentals of applying analytical techniques to big data for decision support in organisations. The programme progresses to in-depth studies of various application domains, covering theoretical knowledge and research findings of decision making using big data.

Programme Aims

The programme aims to:

• Emphasise essential skills and knowledge of business analytics
• Apply domains of business analytics
• Cover theoretical knowledge and research findings of decision making using big data
• Offer opportunities to apply theories to investigating and solving business problems
• Focus on the systematic training and development of skills and competence in business analytics
• Enhance the ability to solve big data problems
• Empower students to achieve career potential via professional coaching and career services

Programme Structure

The programme consists of a mixed mode of study, with a normal duration of:

• 1.5 years (Full-time)
• 2.5 years (Part-time) Students are required to complete 31 credits to graduate.

Admission

The programme has the following admission deadlines:

• Local Application Deadline: 30 April 2026
• Non-Local Application Deadline: 30 April 2026

Programme Leader(s)

The programme is led by:

• Programme Director: Prof. Xin Xu, BEcon, MPhil, PhD
• Deputy Programme Director: Dr Vincent Cho, BSc, MEngSc, PhD

Fee

The programme fee for the 2026/27 intake is:

• HK$381,000 per programme (HK$12,700 per credit) for local and non-local students
• A 1-credit AIE subject is non-chargeable

Scholarships

The programme offers the following scholarships:

• MM Taught Postgraduate Scholarship Scheme: Entry scholarship available for applicants with outstanding academic and non-academic performance
• Hong Kong Future Talents Scholarships Scheme for Advanced Studies: Fellowships shall be awarded to local students

Messages from Alumni

The programme has received positive feedback from alumni, who appreciate the well-structured platform for continuous learning, the balanced approach to domain-specific business knowledge and cutting-edge data analytics tools, and the opportunities to build connections with talented peers from diverse sectors.

Programme Details

The programme is designed to provide students with a comprehensive understanding of business analytics, including:

• Essential skills and knowledge of business analytics
• Application domains of business analytics
• Theoretical knowledge and research findings of decision making using big data
• Opportunities to apply theories to investigating and solving business problems
• Systematic training and development of skills and competence in business analytics
• Enhancement of the ability to solve big data problems
• Empowerment to achieve career potential via professional coaching and career services
  • The programme covers a range of topics, including:
    • Business analytics fundamentals
    • Data analytics tools and techniques
    • Business intelligence and decision making
    • Data-driven marketing and customer analytics
    • Operations and supply chain management
    • Financial analytics and risk management
  • The programme also provides opportunities for students to apply their knowledge and skills in real-world settings, through:
    • Case studies and group projects
    • Hands-on assignments and simulations
    • Industry-based research projects and collaborations
    • Professional mentorship and career coaching

Research Areas

The programme covers a range of research areas, including:

• Business analytics and decision making
• Data analytics and machine learning
• Business intelligence and data visualization
• Operations and supply chain management
• Financial analytics and risk management
• Marketing and customer analytics
  • The programme also explores the applications of business analytics in various industries, including:
    • Finance and banking
    • Marketing and retail
    • Healthcare and pharmaceuticals
    • Manufacturing and logistics
    • Government and public sector