Entrance Year Sept 2026
Programme Code 23090
Stream Code
MAF (Full-time)
MAP (Part-time)
Mode of Study Mixed Mode
Normal Duration
1.5 years (Full-time) 2.5 years (Part-time)
Credits Required for Graduation 31
Local Application Deadline 30 Apr 2026
Non-Local Application Deadline 30 Apr 2026
Programme Leader(s)
Programme DirectorProf. Xin Xu
BEcon, MPhil, PhD
Deputy Programme Director
Dr Vincent Cho
BSc, MEngSc, PhD
Remarks
Please complete all relevant fields and enclose necessary documents.
Incomplete applications cannot be processed promptly.
Aims and Characteristics
Programme Aims
This programme starts with the fundamentals of applying analytical techniques on big data for decision supports of an organisation, and progresses to in-depth studies of various application domains.
Characteristics
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Emphasises essential skills and knowledge of business analytics
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Applies domains of business analytics
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Covers theoretical knowledge and research findings of decision making using big data
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Offers opportunities to apply theories to investigating and solving business problems
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Focuses on the systematic training and development of skills and competence in business analytics
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Enhances the ability to solve big data problems
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Empowers students to achieve career potential via professional coaching and career services
Fee (For 2026/27 Intake)
HK$381,000 per programme (HK$12,700 per credit) for local and non-local students
* 1-credit AIE Subject is non-chargeable.
Scholarships (For 2026/27 Intake)
MM Taught Postgraduate Scholarship Scheme
• Entry Scholarship available for applicants with outstanding academic and non-academic performance.
• Successful awardees may receive a full tuition fee waiver.
• Non-local applicants may be eligible for an additional living allowance of up to HK$50,000.
• Click here to download the application form for this scholarship.
Hong Kong Future Talents Scholarships Scheme for Advanced Studies
Fellowships shall be awarded to local students. For details, please refer to website:
www.polyu.edu.hk/study/pg/taught-postgraduate/hong-kong-future-talents-scholarship-scheme-advanced-studies-tpg
PolyU reserves the right to change or withdraw the scholarship at any time. In case of any dispute / disagreement, PolyU's decision is final.
Messages from Alumni
The MSc in Business Analytics programme has been an invaluable experience that has fully prepared me for the realities of working as a business analyst. Unlike many programmes on the market, the MSc in Business Analytics strikes an ideal balance between imparting foundational theories and equipping students with technical methodologies. Notably, the curriculum ensures that graduates can effectively translate skills and knowledge into practical applications for real-world business challenges.
By combining hands-on projects and case studies, I was able to build a portfolio demonstrating my ability to clean and understand complex data, construct predictive models, and translate data-driven insights into practical business recommendations. This applied learning approach honed my analytical mindset and presentation skills – capabilities that I believe will be highly transferable to any future role in my career path. The curriculum also ensures proficiency with industry-relevant languages and tools, including SQL, SPSS, Python, and SmartPLS.
Overall, this programme offers a solid foundation for prospective business analysts to develop both the essential skill sets and the necessary business acumen to thrive in this dynamic industry. The experience has been incredibly enjoyable and rewarding.
CHEUNG Suet Ngan, Florence
The MSc in Business Analytics programme has been an invaluable experience that has fully prepared me for the realities of working as a business analyst. Unlike many programmes on the market, the MSc in Business Analytics strikes an ideal balance between imparting foundational theories and equipping students with technical methodologies. Notably, the curriculum ensures that graduates can effectively translate skills and knowledge into practical applications for real-world business challenges.
By combining hands-on projects and case studies, I was able to build a portfolio demonstrating my ability to clean and understand complex data, construct predictive models, and translate data-driven insights into practical business recommendations. This applied learning approach honed my analytical mindset and presentation skills – capabilities that I believe will be highly transferable to any future role in my career path. The curriculum also ensures proficiency with industry-relevant languages and tools, including SQL, SPSS, Python, and SmartPLS.
Overall, this programme offers a solid foundation for prospective business analysts to develop both the essential skill sets and the necessary business acumen to thrive in this dynamic industry. The experience has been incredibly enjoyable and rewarding.
Li Tsz Man Lavina
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(852) 2766 7381 / (852) 2766 7108
