Master of Science in Innovative Design and Artificial Intelligence (MScIDAI)

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Master of Science in Innovative Design and Artificial Intelligence (MScIDAI)

As the digital economy and generative AI evolve, demand is growing across industries for multidisciplinary professionals with expertise in technology, design and business, particularly in smart manufacturing, fintech, healthcare, retail and technology start-ups. Businesses need professionals who can translate AI technologies into commercially viable products that meet user needs, driving product innovation and business development.

The Master of Science in Innovative Design and Artificial Intelligence (MScIDAI) programme integrates artificial intelligence, design thinking, systems engineering and business innovation. It focuses on developing students’ capabilities in human-centred design, AI hardware and software development, systems integration and technology entrepreneurship. Through hands-on projects, seminars with industry mentors, field visits and the “AI Entrepreneurship” capstone course, students will learn to identify market opportunities, develop functional prototypes, deploy scalable intelligent systems and explore business venture incubation, becoming AI product innovators who connect technology, users and markets.

Q & A

  • Are there any language requirements for the programme?

    The language requirements are flexible and diverse. Applicants whose previous degree was not taught in English must satisfy any one of the following requirements: a minimum TOEFL iBT score of 4; an IELTS (Academic) score of 6.0 or above; a minimum CET-6 score of 450; or equivalent qualifications.

  • Which undergraduate backgrounds are suitable for applying to MScIDAI?

    The programme welcomes applicants from diverse academic backgrounds, including Computer Science, Engineering, Design, Business, as well as Marketing, Communication, Multimedia, Psychology, and related disciplines. Applicants who have not previously taken courses in Computer Science or Statistics are required to complete the corresponding prerequisite subjects (Introduction to Computing / Statistics) before the commencement of the programme.

  • What career opportunities are available after graduation?

    Graduates' career pathways are highly aligned with industry demands. They may join leading technology companies and intelligent manufacturing enterprises as AI Product Managers, Artificial Intelligence Solutions Architects, AI System User Experience Designers, or Machine Learning Engineers. In addition, they may work for top consulting firms or pursue entrepreneurial ventures as Business Innovation Consultants, Product Strategy Managers, or Technology Entrepreneurs, driving front-end AI product innovation and commercialization across the Greater Bay Area and the broader Chinese market.

Q & A