Sept 2026 Entry
1.5 years (Full-time)
3 years (Part-time)
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Early Round: 2025-10-15
Main Round: 2026-01-15
Early Round: 2025-10-15
Main Round: 2026-01-15
What's New
- Undergraduate
- Undergraduate
Programme Aims
This programme will meet the rising demand for professionals skilled in AI, equipping graduates with the necessary expertise to drive innovation and efficiency in the tech industry. The interdisciplinary approach will enable graduates to apply their skills across various contexts and industries. Overall, this initiative is strategic for Hong Kong as a leading digital hub and smart city, aligning with the increasing significance of technology in related sectors.
Characteristics
A strong foundation in mathematics is crucial for the development of AI technology. It serves as the foundation for key areas such as optimisation, probability, statistics, and linear algebra, and supports model design, performance analysis, and interpretability. A solid mathematical training ensures that AI systems are fully functional, stable, general, and interpretable-qualities critical in fields such as finance, scientific computing, biomedical data analysis, and risk modelling.
Programme Structure
A student studying for MSc in Mathematics for Artificial Intelligence Technology needs to complete:
(Option 1) 6 compulsory subjects (18 credits) and 4 elective subjects (12 credits); OR
(Option 2) 6 compulsory subjects (18 credits), 1 elective subject (3 credits) and a dissertation (9 credits)
There is also a 1-credit compulsory subject: Academic Integrity and Ethics in Science.
Compulsory Subjects
- Deep Learning
- Emerging Topics in Mathematics and AI
- Generative AI and Foundation Models
- Hands-on AI for Science and Technology
- Optimization for Machine Learning
- Theoretical Aspects of Reinforcement Learning
Elective Subjects
Supported by Department of Applied Mathematics (AMA)
- Advanced Topics in Algorithmic Trading
- Financial Technology
- Learning Theory for AI
- Probability and Stochastic Models
- Quantum Computing for Data Science
- Scientific Computing
- Stochastic Models for Carbon Pricing and Trading
Supported by Department of Biomedical Engineering (BME)
- Medical Artificial Intelligence and Data Analytics
Supported by Department of Computing (COMP)
- Advanced Artificial Intelligence
- Big Data Computing
- Computer Vision and Image Processing
- Cyber and Internet Security
- Data Structures and Database Systems
- Natural Language Processing
Supported by Department of Data Science and Artificial Intelligence (DSAI)
- Advanced High Dimensional Data Analysis
- Brain-inspired Computing
- Efficient Data Processing
- Machine Vision and Intelligence
- Trustworthy AI Systems and Technologies
- Visual Data Representation and Processing
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Programme Leader
Prof. Zhou Zhi
BSc, PhD
Deputy Programme Leader
Prof. Yuan Yancheng
BSc, PhD
Assistant Programme Leader
Prof. Zhang Shijun
BSc, PhD
(This programme is offered subject to approval)
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A Bachelor’s degree with honours in mathematics, statistics, computer science, IT, engineering, and science, or the equivalent. Applicants with a Bachelor’s degree in other disciplines and an adequate background in mathematics or 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.
Please contact Mr Tim Tsui, Programme Secretary
(tel: (852) 2766 6947; email: msc.mait@polyu.edu.hk).
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.)
Required
Required
Optional
