Master of Science in Artificial Intelligence and Big Data Computing (62037-FAI/PAI)

Entrance Year Sept 2026
Programme Code 62037
Stream Code
FAI (Full-time)
PAI (Part-time)
Mode of Study Mixed Mode
Normal Duration
1 year (Full-time)
2 years (Part-time)
Fund Type Self-Financed
Credits Required for Graduation
31
Local Application Deadline
15 Jan 2026 *
Early Round: 2025-10-15
Main Round: 2026-01-15
Extended Round: 2026-04-30
Non-Local Application Deadline
15 Jan 2026 *
Early Round: 2025-10-15
Main Round: 2026-01-15
Extended Round: 2026-04-30
Tuition Fees
HK$12,900 per credit for local and non-local students (Note: There is no tuition charge for the 1-credit Academic Integrity and Ethics subject.)
Programme Leader(s)
Dr CHUNG F.L. Korris
BSc(Manitoba), MPhil, PhD(CUHK), MIEEE
Remarks
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.
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.
Aims and 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.
Programme Characteristics
- 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.