12 monthsProgramme duration
58,881 USDTuition Fee/year
25 Feb, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
MSc in Agentic AI Systems - 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:
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:
- 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.
- 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.
- 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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
MSc in Agentic AI Systems - 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:
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:
- 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.
- 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.
- 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.
Admission Requirements
- A Bachelor’s degree in Computing/Computer Science/Engineering, Information Systems, Mathematics or other related disciplines.
- 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.
25 Feb 2027
1 Year
Sep
Tuition fees
Domestic
58,881 USD
International
58,881 USD
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