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Entrance Year Sep 2026

Programme Code 63031

Stream Code

AFM (Full-time)
APM (Part-time)

Mode of Study Mixed Mode

Normal Duration

1.5 years (Full-time)
3 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

Non-Local Application Deadline 15 Jan 2026 *
Early Round: 2025-10-15
Main Round: 2026-01-15

Tuition Fees

HK$14,200 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)

Programme Leader

Prof. Zhou Zhi
BSc, PhD

Deputy Programme Leader

Prof. Yuan Yancheng
BSc, PhD

Assistant Programme Leader

Prof. Zhang Shijun
BSc, PhD

Aims and Characteristics

Programme aims

Mathematics is fundamental to AI technology providing the essential foundation for key areas such as optimization, probability, statistics, and linear algebra —key to robust and interpretable systems in finance, scientific computing, biomedical analysis, and risk modelling. Therefore, a strong mathematical background is indispensable for effective AI development.

This new Master’s programme is the first in Hong Kong to integrate mathematics with AI technology, addressing the rising demand for AI professionals. Graduates will gain both theoretical and practical expertise to drive innovation and efficiency in the tech sector. The programme strategically supports Hong Kong’s development as a leading digital hub and smart city, reflecting the growing importance of technology in related industries.

Characteristics

As AI technologies are increasingly integrated across diverse sectors, a solid foundation in mathematics has become indispensable. Unlike other taught postgraduate programmes offered by sister institutions in Hong Kong, which primarily focus on the application aspects of AI and Big Data, this programme uniquely combines rigorous mathematical foundations with practical, cutting-edge AI applications. This balanced approach ensures that graduates acquire both the theoretical knowledge and practical skills essential for a successful career in AI. The interdisciplinary nature of the programme empowers graduates to apply their expertise across a wide range of contexts and industries.

Enquiry

Mr Tim Tsui

Programme Secretary

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