Master of Science in Generative Artificial Intelligence (62002-GFM/GPM)
Entrance Year Sept 2027
Programme Code 62002
Stream Code
GFM (Full-time)
GPM (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
25 Feb 2027 *
Main Round: 2027-02-25
Non-Local Application Deadline
25 Feb 2027 *
Main Round: 2027-02-25
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. WU Jibin
BEng, PhD
Deputy Programme Leader
Prof. WU Xingyu
BSc, PhD
Aims and Characteristics
Programme Aims
This programme addresses the rapid growth and adoption of generative AI technologies, such as large language models and AI agents, as well as the corresponding demand for specialised postgraduate training. The objectives of the programme are listed below:
To equip students with in-depth knowledge of modern generative AI models (such as large language models, diffusion and multimodal models), their mathematical and computational foundations, and hands-on skills in building, fine-tuning and deploying such systems using contemporary platforms and tools.
To cultivate interdisciplinary leaders for industry, government and academia, capable of designing and implementing generative AI solutions for key sectors such as finance, logistics, healthcare, education, smart cities and the creative industries, thereby contributing to Hong Kong’s position as an international innovation and technology hub.
Characteristics
This programme emphasises the practical development of generative AI systems and autonomous intelligence, focusing not only on individual models but also on their integration into coordinated platforms such as multi‑agent systems, AIoT, and embodied intelligence, thereby aligning with industry needs for professionals capable of delivering end‑to‑end generative AI solutions.
