Important Update: (Updated 10:04 am, Thursday, June 3)

Our University has announced the learning, teaching and assessment (LTA) arrangements for Semester One, 2021/22. Please click here for details.


Master of Science in Business Analytics

Sept 2021 Entry
Programme code: 23090

Duration & Credit Requirement

Duration & Credit Requirement

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


Fund Type
Initial Registration Credits


Tuition Fee

HK$220,100 per programme (HK$7,100 per credit) for local students
HK$292,950 per programme (HK$9,450 per credit) for non-local students

Targeted Taught Postgraduate Programmes Fellowships Scheme

A total of 8 fellowships 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.

Programme Leader(s)

Programme Director
Dr Xin Xu
BEcon, MPhil, PhD

Deputy Programme Director
Dr Vincent Cho   
BSc, MEngSc, PhD


Note to Applicants 
Please complete all relevant fields and enclose necessary documents. 
Incomplete applications cannot be processed promptly.

Aims & Characteristics

Aims & 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.



  • Emphasises 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 the systematic training and development of skills and competence in business analytics
  • Enhances the ability to solve big data problems

Recognition & Prospects

Recognition & Prospects

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 Ethics Subject (1 credit)


  • 4 Compulsory Subjects (3 credits each)
  • 2 Elective Subjects (3 credits each)
  • 1 Ethics Subject (1 credit)
  • 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.


Areas of Study

The following is a summary of the areas of study.


Compulsory Subjects+

  • Business Analytics
  • Business Intelligence and Decisions
  • Marketing Management
  • Organization and Management


Elective Subjects+@

  • Applications of Decision Making Models
  • E-Commerce
  • Enterprise Resource Planning
  • Management Information Systems
  • Managing Operations Systems
  • Models for Decision Making
  • Research Methods
  • Social Media Marketing
  • Strategic Human Resource Management
  • Strategic Management
  • Technology Innovation and Management


Ethics Subject+

  • Business Ethics


Information on the subjects offered can be obtained at


+ The offering of subjects is subject to class quota availability.

@ Student may also choose from a list of "Common Pool Electives", subject to the prescriptions of the programme curriculum. For details, please refer to


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



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 (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 Departments/Faculties 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.

Entrance Requirements

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 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.

Other Information

Other Information

Shortlisted candidates may be invited to attend admission interviews.



For further information, please contact:
Tel: (852) 2766 7381 / (852) 2766 7952


For academic matters, please contact:
Dr Vincent Cho
Tel: (852) 2766 6339

Student Message

Student Message

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)

Additional Documents Required

Additional Documents Required

Transcript / Certificate

Both copies of transcripts and certificates are required.

Info Seminar

Info Seminar

No information is available at present.

Programme Leaflet

Programme Leaflet

Please click here to download.