Sept 2026 Entry
1 year (Full-time)
2 years (Part-time)
31
This programme is hosted by the Department of Computing and supported by the Department of Data Science and Artificial Intelligence.
What's New
- Undergraduate
- Undergraduate
Programme Aims
The Master of Science in Agentic AI Systems (MScAS) programme moves beyond the training of isolated AI algorithms to the engineering of complete, autonomous ecosystems. It prepares students to bridge the gap between abstract AI models and real-world applications by integrating advanced reasoning with robust hardware and software infrastructure. Covering topics such as large models, embedded systems, robotics, and cloud architecture, the curriculum enables students to design end-to-end AI agents capable of perceiving, reasoning, and executing complex tasks. Graduates will be equipped to transform model intelligence into practical system intelligence for real-world impact.
The objectives of the programme are to:
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Equip students with the advanced knowledge and practical skills to design, implement, and orchestrate the end-to-end systems for autonomous agents. This includes integrating reasoning, decision-making, and interactive capabilities across both hardware and software infrastructures.
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Cultivate interdisciplinary leaders for academia and industry by providing deep expertise in the convergence of agentic AI, robotics, embedded systems, and intelligent automation. Graduates will be prepared to drive innovation in the development and application of these technologies in a responsible and effective manner.
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Address a critical market gap by supplying Hong Kong with high-quality personnel capable of pioneering the next generation of intelligent, autonomous systems, thereby meeting the urgent and growing demand for expertise in agentic AI.
Characteristics
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Full-Stack AI Engineering for Real-World Impact
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Zero-to-Physical Capstone: Bridging Software and Hardware
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Hybrid Learning Environment: Powerful Tools, Practical Experience
Graduates of this programme will gain advanced expertise in building autonomous AI systems that integrate software and hardware. They will be well-prepared for careers in robotics, smart manufacturing, intelligent transportation, healthcare technology, and cloud services, as well as for further research in agentic AI and autonomous systems.
Programme Structure
Students must complete a total of 31 credits, typically over 1 year (full-time) or 2 years (part-time). All subjects carry 3 credits, except for the Dissertation (9 credits) and Project (6 credits). Full-time students generally enrol in five subjects per semester, while part-time students take two to three subjects.
In general, each subject takes place in the evening, once a week, over a 13-week semester. Full-time students are enrolled in 5 subjects per semester, while 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 the compulsory 1-credit subject “Academic Integrity and Ethics in Data Science” (subject to approval) to satisfy the Academic Integrity and Ethics (AIE) requirement for graduation. No credit fee will be charged for this subject.
The award requirements are summarised in the table below:
|
Awards |
MScAS |
|
With Dissertation |
3 Core + 3 Disciplinary-specific Electives + 1 Elective + 1 Dissertation + 1 AIE Subject |
|
With Project |
3 Core + 3 Disciplinary-specific Electives + 2 Electives + 1 Project + 1 AIE Subject |
|
Without Dissertation/ Project |
3 Core + 3 Disciplinary-specific Electives + 4 Electives + 1 AIE Subject |
|
Credits requirements |
31 |
Please visit the COMP website for more details.
31
Prof. LI Jing Amelia
BSc(Peking), PhD(CUHK)
(This programme is offered subject to approval)
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A Bachelor’s degree in Computing/Computer Science/Engineering, Information Systems, Mathematics or other related disciplines.
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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 purposes. Please refer to the "Admission Requirements" section for details.
Tel: (852) 2766 7295
Fax: (852) 2774 0842
Email: comp.pg@polyu.edu.hk
For more information, please visit our website.
HK$14,200 per credit for local and non-local students (Subject to approval)
No tuition charge for the 1-credit Academic Integrity and Ethics subject.
