Capstone Project: Elite Pathway in AI and Emerging Technologies for Innovation

Admission requirements: 

• Programme GPA or Major GPA > 3.30  

• Attained a pass in Artificial Intelligence Literacy with a total score of above 88/100 

Faculties will select and nominate outstanding students to join the Capstone Project: Elite Pathway. Upon completion, e-badges will be awarded via LinkedIn. 

The Capstone Project: Elite Pathway in AI and Emerging Technologies for Innovation consist of two parts: 

Part I:  

AI and Emerging Technologies for Innovation 

Offering from Sem 1, 2026/27 

• Credit: 2 (26 hours) 

• Advanced AI Algorithms and Emerging Technologies 

• Case studies and reflective discussions 

• Cutting-edge AI techniques including Large Language Model (LLM) fine-tuning and Agentic architecture 

• Hands-on labs using Python (including AI libraries, packages and publicly available models and applications) 

• Creation of Individual ePortfolio   

Remarks: Students admitted to the University from 2025/26 onwards who join the Elite Pathway may substitute the “Digital Literacy” course (taken in Year 2) by taking “AI and Emerging Technologies for Innovation”.  

Part II: 

Capstone Project I: Research Methods and Proposal Development 

Offering from Sem 2, 2026/27 

• Credit: 3 (39 hours) 

• User-centred research methods and stakeholder engagement  

• Literature review and project positioning within academic and industry contexts 

• Technical feasibility, research ethics, and responsible innovation 

• Teamwork, leadership, and implementation planning 

• Development and presentation of a comprehensive project proposal  

Capstone Project II: Implementation, Innovation and Entrepreneurship 

Offering from 2027/28 (Sem 1 and Sem 2) 

• Credit: 6 

• Refinement and full implementation of the Capstone Project I proposal 

• Development of a working prototype, product, or service addressing real-world needs 

• Testing, validation, and iterative improvement through stakeholder feedback 

• Application of advanced AI and responsible and sustainable innovation principles 

• Entrepreneurial mindset, business development, and value proposition 

• Project report, live demonstration, and final presentation 

Remarks: All 5-year full-time DD undergraduate students are required to take extra credit points beyond their prescribed curriculum to obtain the additional 3 credit points. All 4-year full-time undergraduate students are required to use credit points under “Electives” domain to cover the additional 3 credit points. In other words, the 4-year full-time undergraduate students cannot use core or major-required courses to meet this requirement — the 3 extra credit points must come specifically from elective courses.