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Master of Science in Business Analytics

Programme Title

Master of Science in Business Analytics


Programme Code

23090-MAF (Full-time) / 23090-MAP (Part-time)

Mode of Attendance



Normal study period: 1.5 years (Full-time) / 2.5 years (Part-time)

Credit Requirements for Graduation



Local students: HK$220,100 per programme (HK$7,100 per credit) 

Non-local students: HK$292,950 per programme (HK$9,450 per credit)

Targeted Taught Postgraduate Programmes Fellowships Scheme

A total of 8 fellowships subject to a cap of HK$120,000 shall be awarded to local students. Please click here for details.

PolyU reserves the right to change or withdraw the fellowship at any time. In case of any dispute/disagreement, PolyU’s decision is final.



For further information, please contact:

Tel: (852) 2766 7381 / (852) 2766 7952



For information on academic matters, please contact:

Deputy Programme Director

Dr Vincent Cho

Tel: (852) 2766 6339




This programme starts with fundamental skills of applying analytical techniques on big data for decision supports of an organization, and progresses to in-depth studies of various application domains.



  • Emphasizes on essential skills and knowledge of business analytics
  • Applies domains of business analytics
  • Covers theoretical knowledge and research findings of decision making using big data
  • Offers opportunities to apply theories to investigating and solving business problems
  • Focuses on systematic training and development of skills and competence in business analytics
  • Enhances ability to solve big data problems

Programme Details

For MSc, students complete 31 credits

  • 4 Compulsory Subjects (3 credits each)
  • 1 Ethics Subject (1 credit)
  • 6 Elective Subjects (3 credits each)
  • 4 Compulsory Subjects (3 credits each)
  • 1 Ethics Subject (1 credit)
  • 2 Elective Subjects (3 credits each)
  • the subject Research Methods (3 credits) and a Dissertation (9 credits)


Students may, on completion of 4 Compulsory Subjects and 3 Elective Subjects (21 credits), opt for the Postgraduate Diploma.



- The offering of subjects is subject to class quota availability. Students may also choose from a list of "Common Pool Electives", subject to the prescriptions of programme curriculum.
- Programme structure, course names and content are subject to continuous review and change.


* These subjects have been included in the list of reimbursable courses under the Continuing Education Fund with effect from 4 May 2020. The programme (MSc in Business Analytics) is recognised under the Qualifications Framework (QF Level 6).



Mode of Study and Duration

Mode of study: Mixed-mode
Full-time students study 9 credits or more in a semester. Part-time students study less 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 normal duration can submit such request to the Department of Management and Marketing for consideration, as appropriate.

The programme offers a structured progression pattern. Classes are normally scheduled on weekday evenings in two semesters within an academic year. Each subject requires 39 contact hours over a teaching semester, with one 3-hour class per week.

Current students can refer to the Programme Requirement Document for more details about the programme.


Programme Requirement Document
Programme Requirement Document 2020/2021
Programme Document 2019/2020   

Entrance Requirements

  • Applicants should have a Bachelor's degree or equivalent academic / professional qualifications, preferably with at least one year of relevant work experience.

  • 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 an institution 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 at Study@PolyU for details.

Shortlisted candidates may be invited to attend admission interviews.


Admissions Procedures and Fee

Please refer to Study@PolyU website ( for the application details of individual programmes.

+ Programme Brochure

Enlightening and insightful, this programme did not only allow me to gain hands-on experience of using analytical tools such as Python, but also trained me to interpret challenges from various business perspectives, thus enhancing my ability to find insights for decision-making and identify the root causes of business problems.


HUANG Hongjia, Gia (2019/20 Graduate)

Combining academic rigour and practical relevance helped me understand the role of data in decision-making and the fundamentals of applying analytical techniques on big data for decision supports of an organisation. This programme enabled me to apply the latest academic thinking and analytical tools in making business decisions.


REN Dongzhe, Jenny (2019/20 Graduate)

I could feel the magic of data when taking subjects related to business analytics. This programme let me know how to use data analysis tools and methods in real-life business especially for making decisions. Case studies helped me look at business from different perspectives and find solutions using different methods. I developed rigorous and divergent thinking during the process of learning.


WU Lin, Lily (2019/20 Graduate)