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Entrance Year Sept 2024

Programme Code 23093

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 2024

Non-Local Application Deadline 30 Apr 2024

Programme Leaders

Programme Director
Prof. Xin Xu
BEcon, MPhil, PhD
Deputy Programme Director
Dr Katherine Feng


Please complete all relevant fields and enclose necessary documents.

Incomplete applications cannot be processed promptly. 

Aims and Characteristics


This programme is offered in Hong Kong solely by The Hong Kong Polytechnic University. It is not co-offered with an institution on the Chinese mainland and it is not a Sino-foreign (mainland-Hong Kong) Cooperative Education Programme approved/recognised by the Ministry of Education (MoE) of the PRC. Hence, graduates cannot obtain the recognition pertaining to a Sino-foreign (mainland-Hong Kong) Cooperative Education Programme offered on the Chinese mainland.

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.


  1. Emphasises essential skills and knowledge of business analytics

  2. Applies domains of business analytics

  3. Covers theoretical knowledge and research findings of decision making using big data

  4. Offers opportunities to apply theories to investigating and solving business problems

  5. Focuses on the systematic training and development of skills and competence in business analytics

  6. Enhances the ability to solve big data problems

  7. Empowers students to achieve career potential via professional coaching and career services

Fee (For 2024/25 Intake)

HK$193,500 per programme (HK$10,750 per credit) collected by PolyU in 2024/25 stage for local and non-local students (exclude tuition fee for 4 executive training courses in EIAS)

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Subject Syllabi
General Enquiries
(852) 2766 7381 / (852) 2766 7108

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