Master of Science in Agentic AI Systems
School of Data Science

Programme Overview

Programme Highlights

Uniqueness of the Programme

  • One of the Few Programmes in Hong Kong Focused on Agentic AI & MLOps Engineerings 

    This taught master covers the full lifecycle of Agentic AI development, autonomous agent deployment and industrial MLOps pipelines. Unlike general AI programmes centred on pure theory, it equips students to turn AI algorithms into stable, commercially viable intelligent systems, addressing the severe talent shortage across Hong Kong’s technology and finance sectors.

     

  • Inclusive Pathways for Learners from All Academic Backgrounds

    We break down entry barriers for both STEM and non-STEM applicants with comprehensive support.

    - Non-credit pre-entry courses in Essential Mathematics for AI, Introduction to Computing and Statistics help candidates without tech undergraduate foundations catch up with core modules.

    - Lessons prioritise hands-on industrial projects over abstract mathematical proofs, allowing career switchers from business, humanities and design to integrate their domain expertise with AI development.

    - Group assignments encourage cross-field collaboration and holistic problem-solving capabilities.

     

  • Cutting-edge Generative AI and Frontier Technologies Integrated Throughout All Modules

    Emerging intelligent technologies serve as core learning content rather than optional add-ons.

    - All programming and agent development units incorporate large language models and multimodal generative tools to streamline system building and business automation.

    - Electives span reinforcement learning, robotics, computer vision, NLP, cloud AI and blockchain security, enabling students to tailor learning to their career targets.

    - Teaching materials are regularly updated to align with the latest industry technical stacks, so graduates meet real-world recruitment standards upon graduation.

     

  • Human-centred Learning with Mandatory AI Ethics and Trustworthy System Training

    The programme combines rigorous technical engineering with responsible AI governance to nurture well-rounded AI professionals.

    - Students learn user-focused agent design through AI UX and data visualisation sessions to build practical, user-friendly intelligent tools.

    - Compulsory core modules cover algorithmic fairness, data privacy, risk control and regulatory compliance, embedding trustworthy AI standards into every phase of agent development.

    - Cross-disciplinary content merges computer science, business management and AI regulation to tackle complex corporate AI implementation challenges.

     

     

  • Official Supporting from Leading Global and Local Enterprises

    Top cross-industry brands provide formal recognition and exclusive learning resources for all enrolled students.

    - Google, HSBC Hong Kong, Keen Rich Enterprise and Amain Engineering offer official supporting statements.

    - Abundant real-world cases from fintech, cloud, automation and robotics sectors help students master workplace technical requirements before graduation.

    - Partner organisations launch dedicated internship, joint research and graduate recruitment pipelines to create clear career growth paths for alumni.