Bachelor of Science (Honours) Scheme in Data Science and Artificial Intelligence (JUPAS Code: JS3223)
Entrance Year Sept 2026
Programme Code JS3223
Mode of Study Full-time
Normal Duration
4 years (including 1 year with common curriculum)
Programme Intake 139 (Combined intake for programmes JS3006 [around 14], JS3220 [around 19], JS3868 [around 74] and JS3223 [around 32]) (JUPAS and Non-JUPAS)
Fund Type Government-Funded
Credits Required for Graduation
At least 120 (plus 2 training credits)
Programme Leader(s)
Scheme Leader
Prof. CHUNG F.L. Korris
BSc, MPhil, PhD, MIEEE
BSc (Hons) in Artificial Intelligence (Subject to approval)
Programme Leader
Prof. WU Xiao Ming
BSc (Hons) in Artificial Intelligence with Financial Technology
Programme Leader
Prof. WU Xiao Ming
BSc (Hons) in Data Science and Analytics
Programme Leader
Prof. HAN Ruijian
Remarks
- Students will be awarded one of the following awards upon successful completion of the graduation requirements of the programme concerned:
- BSc (Hons) in Artificial Intelligence (Subject to approval)
- BSc (Hons) in Artificial Intelligence with Financial Technology
- BSc (Hons) in Data Science and Analytics
Students may enrol in any awards without being subject to further assessment.
The option of a Secondary Major in Innovation and Entrepreneurship (IE)is available to the students of BSc (Hons) in Data Science and Analytics. Admission to the Secondary Major is competitive and is subject to a different credit requirement for graduation. Please see Secondary Major Details for further information.
Students may also choose to pursue a Double Major, adding a Second Major from another department within the Faculty of Computer and Mathematical Sciences to their studies. This option gives students the chance to broaden their academic experience and earn two awards when they graduate. Admission to the Double Major is competitive and requires a different credit requirement for graduation.
Aims and Characteristics
This 4-year full-time scheme is designed to provide students with solid training in mathematical, statistical and computer programming skills, covering key areas such as artificial intelligence, data science and analytics, as well as applications in finance and other domains. It offers flexible pathways to suit different interests and career aspirations.
This Scheme comprises the following three undergraduate Major programmes:
BSc (Hons) in Artificial Intelligence (subject to approval) and BSc (Hons) in Artificial Intelligence with Financial Technology focus on foundations of machine learning and artificial intelligence, and modern topics such as neural networks, computer vision, large language models, generative models, among others. Students pursuing the Financial Technology specialism (BScAIFT) will further apply AI knowledge to finance related contexts.
BSc (Hons) in Data Science and Analytics focuses on training graduates with expertise that spans the core disciplines of mathematics, statistics and computer science. It emphasises the critical arc from data to information, information to knowledge, and knowledge to decision-making.
JUPAS Applicants
NON-JUPAS Local Year 1 Admissions
International Students
內地应届高考生
* Local students are those who do not require a student visa to study in Hong Kong.
