Sept 2026 Entry
1.5 years (Full-time)
2.5 years (Part-time)
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The programme has been selected by the University Grants Committee (UGC) for the Hong Kong Future Talents Scholarship Scheme for Advanced Studies. Local students admitted to this programme can apply for the scholarship, please click here for details.
Early Round: 2025-10-15
Main Round: 2026-01-15
Extended Round: 2026-04-30
Early Round: 2025-10-15
Main Round: 2026-01-15
Extended Round: 2026-04-30
What's New
- MPhil
- PhD
- Taught Postgraduate
- Undergraduate
- Undergraduate
Programme Aims
This programme starts with the fundamentals of applying analytical techniques on big data for decision support for organisations 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 on decision-making using big data
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Offers opportunities to apply theories to the investigation and solving of business problems
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Focuses on systematic training and the development of skills and competence in business analytics
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Teaches skills to solve big data problems
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Empowers students to achieve their career potential via professional coaching and career services
Master of Science in Business Analytics
Programme Structure
Programme Details
For the MSc, students complete 31 credits:
- 4 Compulsory Subjects (3 credits each)
- 6 Elective Subjects (3 credits each)
- 1 AIE Subject (1 credit)
OR
- 4 Compulsory Subjects (3 credits each)
- 2 Elective Subjects (3 credits each)
- 1 AIE Subject (1 credit)
- The subject Research Methods (3 credits) and a Dissertation (9 credits)
Students may graduate with a Postgraduate Diploma upon completing 4 Compulsory Subjects, 1 AIE subject and 3 Elective Subjects (22 credits).
Areas of Study
The following is a summary of the areas of study.
Compulsory Subjects+
- Business Analytics*
- Business Intelligence and Decisions*
- Management Information Systems*
- Organization and Management*
Elective Subjects+@
- Applications of Decision Making Models
- Business Applications of Blockchain
- Business Forecasting
- Decision Analytics by Machine Learning
- Decision Making for Leadership
- E-Commerce
- Entrepreneurship
- Enterprise Resource Planning
- Field Study for Business Management
- Managing Operations Systems
- Marketing Management
- Models for Decision Making
- Research Methods
- Seminars in Emerging Technology
- Social Media Marketing
- Strategic Management
- Technology Innovation and Management
- Textual Analytics in Business
- MM MSc Career Workshop (0 credit)
AIE Subject+
- Academic Integrity and Ethics in Business (non-chargeable)
Information on the subjects can be obtained at https://www.polyu.edu.hk/mm/study/tpg/ba/.
+ Offerings are subject to class quota availability.
@ Students may also choose from a list of “Common Pool Electives”, subject to the requirements of the programme curriculum. For details, please refer to www.polyu.edu.hk/fb/study/tpg-landing/common-pool-electives/.
* These subjects have been included on the list of reimbursable courses under the Continuing Education Fund. The programme (MSc in Business Analytics) is recognised under the Qualifications Framework (QF Level 6).
Note: The programme structure and content are subject to continuous review and change.
Mode of Study and Duration
Mode of study: Mixed-mode
Students may pursue their studies with either a full-time study load (taking 9 credits or more in a semester) or a part-time study load (taking fewer than 9 credits in a semester).
Students normally complete the programme full-time in 1.5 years or part-time in 2.5 years. Students who wish to extend their studies beyond the normal duration can submit a request to their Department/Faculty for consideration.
The programme offers a structured progression. Students are encouraged to follow this progression to benefit from the cohort-based structure. Classes are normally scheduled on weekday evenings, with some daytime classes for full-time students. Each 3-credit subject requires 39 contact hours over a teaching semester, with one 3-hour class per week.
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Programme Director
Prof. Xin Xu
BEcon, MPhil, PhD
Deputy Programme Director
Dr Vincent Cho
BSc, MEngSc, PhD
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Applicants should have a Bachelor’s degree or equivalent academic/professional qualifications, preferably with at least one year of relevant work experience.
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Applicants, normally aged 27 or above, with other post-secondary qualifications and at least 6 years of work experience in industry, commerce or public administration, including 3 years in a managerial capacity, will also be considered.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admission Requirements" section for details.
For further information, please contact:
Tel: (852) 2766 7381 / (852) 2766 7108
Email: mm.msc@polyu.edu.hk
For academic matters, please contact:
Dr Vincent Cho
Tel: (852) 2766 6339
Email: vincent.cho@polyu.edu.hk
Shortlisted candidates may be invited to attend admission interviews.
Please click here to download.
HK$381,000 per programme (HK$12,700 per credit) for local and non-local students
* The 1-credit AIE Subject is non-chargeable.
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.
• Please click here for details.
PolyU reserves the right to change or withdraw the scholarship at any time. In case of any dispute/disagreement, PolyU’s decision is final.
With the arrival of the Digital Age we’re witnessing a profound transformation in most business operations. The digital revolution is poised to reshape entire industries and job markets and this reality is driving growing numbers to proactively adapt through continuous learning.
PolyU’s MSc in Business Analytics programme offers a curriculum that stands out by integrating domain-specific knowledge with data analytics technologies; this is a balanced approach that transcends the false choice between purely technical skills and operational experience. Our faculty members bring a diverse expertise spanning business, academia, and technology as well as share cutting-edge developments in AI and machine learning beyond textbook theories. Students transitioning from traditional industries can join this programme as it serves as both a gateway to analytical techniques and a window into future tech evolution.
Another valuable aspect is the connections you’ll forge with your peers. Collaborating with classmates from different sectors, you’ll gain first-hand insights into how digital technologies are revolutionizing industry while debating technology’s ethical and practical implications. These interactions will mold you into a business analyst who synergizes field expertise with technological fluency to deliver transformative value.
Learning remains a lifelong journey of discovery. I extend my heartfelt gratitude to PolyU for this pivotal chapter that has systematically organized my professional experiences while equipping me with new competencies, broader perspectives, and renewed confidence to navigate tomorrow’s challenges.
The MSc in Business Analytics programme has shaped my analytical thinking and built my professional confidence. The curriculum balances theoretical frameworks with practical applications, equipping students with the skills needed to excel in data-driven roles.
Training in industry-standard tools such as Python, SQL, SPSS, SmartPLS, and everyday tools like Excel has strengthened my technical capabilities, preparing me for job market demands. Unlike many similar programmes, this one emphasizes cultivating essential business analytics and problem-solving skills—critical for turning data into strategic recommendations and standing out in a competitive field.
What I found most valuable was the focus on experiential learning. Through case studies, group projects, and hands-on assignments, I was able to apply analytical techniques to complex business challenges. These experiences deepened my understanding of data analytics and enhanced my ability to deliver actionable insights in a business context.
I am grateful for the enriching academic environment and dedicated faculty support, especially through networking events that connected me with industry leaders and alumni, enriching my professional development. This programme has laid a strong foundation for my career and given me the confidence to pursue opportunities in the fast-evolving field of business analytics.
Both copies of transcripts and certificates are required.
Optional
