Bachelor of Science (Honours) in Urban Informatics & Smart Cities
Entrance Year Sept 2026
Programme Code 34480-SYU
Mode of Study Full-time
Normal Duration
2 years
Programme Intake 15 senior year places
Fund Type Government-Funded
Credits Required for Graduation
BSc (Hons) in Urban Informatics & Smart Cities
Programme Leader(s)
Programme Leader of BSc (Hons) in Urban Informatics & Smart Cities
Prof. Tony Cheng-xiang ZHUGE
PhD
Deputy Programme Leader of BSc (Hons) in Urban Informatics & Smart Cities
Prof. YIN Tiangang
BSc, MEng, PhD
Remarks
The curriculum of this programme, including the credit requirements, is subject to review.
The exact study duration and number of credits to be transferred will depend on the entry qualifications of individual AD/HD admittees. Holders of a surveying- or computing-related Higher Diploma or Associate Degree may be given credit transfers for relevant subjects.
Aims and Characteristics
Programme Aims and Learning Outcomes
The programme is underpinned by the philosophy that our graduates should be capable of coping with the rapidly changing market conditions in Hong Kong, mainland China and the region, as well as equipped to meet the demands of their future professions in smart city development.
The Department has close links with professional bodies and invites industry experts to give guest lectures to students whenever appropriate.
The aims of the programme are to:
promote education in urban science, geomatics and informatics to cope with various challenges in global cities in the face of rapid urbanisation;
equip students with principles and theories of urban science as well as practical skills in urban analytics, enabling them to leverage emerging technologies and values related to urban big data to better understand and serve smart cities.
Upon completion of the programme, students will:
have mastered mathematical and geospatial thinking methods for geospatial data analytics and urban problem solving;
have gained fundamental knowledge of urban informatics, covering concepts and theories of geospatial data science, urban science and computer science;
be able to apply geospatial technologies for urban sensing and computer technologies for urban computing to facilitate the operations of urban systems;
be able to solve urban problems in a professional, timely and cost-effective manner by integrating geospatial technologies, computer technologies and urban system technologies;
be able to identify, structure and analyse diversified urban problems arising from rapid social, economic, environmental and technological changes;
be able to cooperate and supervise others in accordance with, and abide by, legal, ethical and professional standards in urban society;
be responsive to the advancement of and able to exercise professional judgement in relation to geospatial technologies, urban science, computer science, future smart cities and ever-emerging technologies, with a commitment to continuous and lifelong learning.
