This programme introduces the concept of ‘computing-in-practice,’ bridging the cyber and physical worlds to create value for humanity. Focusing on Data Engineering and Analytics, Human-Machine Cooperation, and Robotics and Automation, it combines foundational knowledge with advanced technologies like AI, machine learning, robotics, and computer vision. The curriculum covers data analytics, decision-making, system automation, and data-driven optimisation, with hands-on projects and research offering practical experience. Students develop skills in data collection, decision-making, and automation, preparing them for careers in banking, logistics, robotics, automation, and healthcare engineering.

Our curriculum includes various fundamental systems analytics and computing disciplines, such as operational research, mathematical and data-driven optimisation, and system simulation and modelling. Additionally, students are exposed to innovative artificial intelligence and intelligent systems technologies. Students receive rigorous coursework and hands-on experiences seamlessly blending theoretical concepts with advanced technologies. The main areas of expertise developed are as follows: 

Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management.

Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, and internet of things (IoT).

There are several learning and exchange programmes available to students, both locally and overseas. Students may take part in a semester-long exchange programme abroad. Moreover, all students have the opportunity to engage in experiential learning through internships and hands-on projects.

The programme is accredited by both the Hong Kong Institution of Engineers (HKIE) and the Chartered Institute of Logistics and Transport in Hong Kong (CILTHK). Graduates can, with proper training and working experience, obtain the status of Registered Professional Engineer from HKIE. This professional status is recognised through the Washington Accord by the signatories of engineering organisations in the UK, Ireland, the US, Canada, Australia, New Zealand and South Africa.

Equipped with in-depth skills in data analytics, decision-making, robotics and automation, and human-machine interfaces, our students are empowered to pursue advanced studies and explore diverse career paths across various industries, including logistics and transportation, construction, robotics, healthcare engineering, and more. Some common job titles for graduates include Graduate Trainee, Management Trainee, Business Analyst, Management Consultant, Planning Manager, Project Engineer, Quality Manager, and Supply-Chain Manager. Recent employers of graduates include HSBC, HKMA, Goldman Sachs, PwC, Credit Suisse, DBS Bank, Bloomberg, Hong Kong Communications, Cathay Pacific Airways, Chow Sang Sang, CLP, Towngas, Hong Kong Productivity Council, Hong Kong Airport Authority, MTR, Jardines, Louis Vuitton, CHANEL, L’Oréal, P&G, Amazon, Kodifly and Zung Fu.