Faculty of Engineering

Sept 2024 Entry

Mixed Mode

1 year (Full-time)
2 years (Part-time)



  • Students can pursue full-time or part-time studies. Those enrolled part-time can opt for daytime classes, subject to availability.

  • The subjects offered will depend on the availability of teaching resources and the number of students registered.

Application Deadline
Local - Mixed Mode
Sept 2024 Entry - 30-Apr-2024
Non-local - Mixed Mode
Sept 2024 Entry - 30-Apr-2024
About Programme
How to Apply
Aims & Characteristics

Programme Aims

Artificial intelligence and big data (AIBD) technologies are experiencing rapid development in society and industry. Combining technologies from computer science and machine learning, this programme is designed to teach students how to understand and create value from AIBD.


The objectives of the programme are listed below:

  • To provide students with knowledge of AIBD from the perspective of research and practical applications, and

  • to meet the increasing market demand for high-quality personnel with expertise in AIBD computing in Hong Kong.



  • The programme focuses on research on and applications of AIBD.

  • It comprises a core set of subjects on AIBD programming and practices, as well as a compulsory dissertation.


Flexible modes of study are available (full-time or part-time).

Recognition & Prospects

Graduates of this programme are expected to possess the necessary knowledge to pursue careers in AIBD application areas, such as smart cities, e-commerce, sales and marketing, banking and other related industries.


Programme Structure

Each subject takes place once a week in the evening over a 13-week semester. Full-time students are enrolled in 5 subjects per semester; part-time students choose 2 or 3 subjects. Some subjects may be offered during the summer to provide students with greater flexibility in designing their own study programme.


Students are required to complete 30 credits for the MSc AIBD. All subjects carry 3 credits, unless otherwise specified. Students must complete the following:

  • AIBD programme core (Programme-Core) subjects: 3 credits
  • Artificial Intelligence core (AI-Core) subjects: 6 credits
  • Big Data Computing core (BD-Core) subjects: 6 credits
  • Compulsory dissertation: 9 credits
  • Electives, BD-Core, AI-Core, and/or Programme-Core subjects: 6 credits


Please visit the COMP website for more details.

Credit Required for Graduation


Programme Leader(s)

Prof. Wang Dan
BSc(Peking), MSc(Case Western Reserve), PhD(Simon Fraser)

Subject Area
Artificial Intelligence and Big Data Computing
Entrance Requirements
  • A Bachelor’s degree in Computing/Computer Science/Engineering, Information Systems, Mathematics or other related disciplines.

  • Applicants with a Bachelor’s degree in other disciplines with at least 3 years of relevant work experience in IT 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.


Tel: (852) 3400 3340
Fax: (852) 2774 0842
Email: comp.pg@polyu.edu.hk


For more information, please visit our website.

Initial Registration Credits

3 for local students
6 for non-local students

Tuition Fee

HK$10,850 per credit for local and non-local students

Additional Documents Required
Employer's Recommendation

Preferred but not compulsory

Transcript / Certificate

Copies of transcripts, graduation certificates and other relevant certificates are required.

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