Bachelor of Science (Honours) Scheme in Data Science and Artificial Intelligence (JUPAS CODE: JS3223)
Entrance Year Sept 2025
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) (Subject to approval)
Fund Type Government-Funded
Credits Required for Graduation
At least 120-124 (plus training credits)
Programme Leader(s)
Scheme Leader
To be confirmed
BSc (Hons) in Data Science and Analytics
Programme Leader
To be confirmed
BSc (Hons) in Financial Technology and Artificial Intelligence
Programme Leader
To be confirmed
Remarks
- The credit requirements of this scheme are indicative only. They are subject to review.
- Students will be awarded one of the following awards upon successful completion of the graduation requirements of the programme concerned:
- BSc (Hons) in Data Science and Analytics
- BSc (Hons) in Financial Technology and Artificial Intelligence
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.
Aims and Characteristics
This 4-year full-time scheme is designed to provide students with solid training in mathematical, statistical and computer programming skills, with special emphasis on applications in investment and finance analytics or data science and analytics.
All admitted students will embark on a Common Year One curriculum. Towards the end of year one, students can decide whether to continue with their initial choice or switch to another choice within the Faculty of Computer and Mathematical Sciences. Those who wish to change to another choice need to join a competitive process through a ranking assessment, which considers a combination of entrance qualification score, Year One GPA, and interview performance.
This Scheme comprises the following two undergraduate Major programmes:
BSc (Hons) in Data Science and Analytics
This Major 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.
The BSc (Hons) in Financial Technology and Artificial Intelligence
This Major is designed to cultivate financial technologists who can develop intelligent software applications and innovative finance solutions by equipping graduates with good fundamental computing knowledge with a focus on AI, sound financial concepts and the strong intellectual and practical skills that they need to apply computing technologies in finance and related areas. Graduates will be able to adapt to today’s fast-changing technologies, economies and societies.
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.
