Sept 2026 Entry
4 years (including 1 year with common curriculum)
At least 120 (plus 2 training credits)
Scheme Leader
Prof. CHUNG F.L. Korris
BSc, MPhil, PhD, MIEEE
BSc (Hons) in Data Science and Analytics
Programme Leader
Prof. HAN Ruijian
BSc (Hons) in Financial Technology and Artificial Intelligence
Programme Leader
Prof. WU Xiao Ming
- 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.
What's New
- Undergraduate
- Undergraduate
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.
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.
Career Prospects
BSc (Hons) in Data Science and Analytics is designed to develop students’ analytical, critical thinking, problem-solving and communication skills, nurturing an outlook and methodology that equip graduates to pursue a variety of careers in fields such as telecoms, information technology, market research, manufacturing, pharmaceuticals, investment banking, fund management, risk management and financial product development and pricing.
BSc (Hons) in Financial Technology and Artificial Intelligence graduates are expected to become financial technologists who can fill the talent gap in the fast-growing FinTech field. Opportunities in FinTech are extensive both in Hong Kong and worldwide and include careers such as financial consultants, AI consultants, financial data analysts, FinTech system developers and entrepreneurs.
Professional Recognition
BSc (Hons) in Data Science and Analytics
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Graduates can apply for partial exemption from the professional assessment of Hong Kong Statistical Society (HKSS), and Royal Statistical Society (RSS).
BSc (Hons) in Financial Technology and Artificial Intelligence
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The programme has been granted full accreditation by the Hong Kong Institution of Engineers (HKIE).
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Graduates can apply for membership in the Association of Computing Machinery (ACM) and the Institute of Electrical and Electronic Engineers (IEEE).
All admitted students will embark on a Common Year One curriculum within the Faculty of Computer and Mathematical Sciences. 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.
Years Two-Four: Students are streamed into one of the two Majors under the Scheme based on their individual preferences. They continue to complete subjects required by the Major.
Information on the subjects offered is available at www.polyu.edu.hk/dsai
The option of a Secondary Major in Innovation and Entrepreneurship (IE) is available to students of the BSc (Hons) in Data Science and Analytics.
Selection Criteria
Studying a Secondary Major is not mandatory. Only students with a cumulative GPA of 2.70 or above will be considered for Secondary Major enrolment. Each Secondary Major may stipulate additional selection criteria for admission. To be admitted to the Secondary Major, students must apply to and obtain approval from the programme-offering Department no later than the commencement of the second year of study.
Credit Requirements
The students of the BSc (Hons) in Data Science and Analytics (DSA) with a Secondary Major in Innovation and Entrepreneurship (IE) are required to complete 137-140# credits for graduation.
# Students of the DSA + IE route may accrue up to 6 credits for double counting from their Major elective/GUR subjects, towards the Secondary Major.
Satisfy the University's General Entrance Requirements.
The subject weightings for 2026/27 will be announced in due course.
There is no compulsory subject requirement. Preferred subject(s) with the highest weighting for admission score calculation include(s):
2025/26 Average Score: Any Best 5 Subjects (with Subject Weighting) = 220.4
For further programme information, please contact
the General Office (tel.: 3400 3275; email: dsai.ug@polyu.edu.hk).
Come on guys, let’s be honest — what is your dream? To create something impactful and contribute to a central bank? Go punting in Cambridge with friends? Immerse yourself with your partner in the place where Steve Jobs and Elon Musk became known to the world – Silicon Valley? Or even start ventures with your partner, backed by Cyberport and HKSTP, hoping to light up Hong Kong’s future?
More importantly, have you ever wondered if you could actually experience all of this during your university life even if you weren’t born into a wealthy family?
As a current student who has walked this path, the short answer is: Yes.
But the truth is — I was rejected from my first internship, had my exchange cancelled due to COVID, and failed my first pitch in the Cyberport University Partnership Programme.
If you’re seeking the place where every single failure becomes a meaningful stepping stone to your dreams, a guiding light when you are at the crossroads, a source of indispensable support to help you rise again during the harsh times and leave with something truly yours after 4 years — Congratulations, you’ve found the right place to go.
Studying Financial Technology and Artificial Intelligence at PolyU has equipped me with a solid foundation in finance, technology, and artificial intelligence. During my university life, I’ve connected with peers worldwide, engaged in internships, and experienced an exchange semester. This journey has sharpened my technical skills and adaptability, preparing me for a career in the fintech industry.
Hong Kong, as one of the world’s leading financial hubs, offers a unique opportunity to blend computer science and finance, both inherently numerical. PolyU stands at the forefront of Fintech, equipping students with robust programming skills and opportunities to study AI and investment. The programme also provides valuable internship experiences, allowing for exploration of Fintech’s vast potential. My studies have strengthened my data analysis capabilities, deepened my understanding of financial concepts, and balanced my enthusiasm for computer science, finance, and mathematics, helping me pursue advanced research in financial AI.
To understand applicants’ potential for and interest in the discipline, to ascertain their understanding and expectations of the discipline in terms of study and career, and to evaluate their language and communication abilities.
About 30-45 minutes
Suitable candidates may be invited for interview.
Required
Required
To assess the suitability of candidates for the Scheme.
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Only selected applicants will be invited to the interview, if deemed necessary.
No make-up interviews or earlier interviews will be arranged for applicants who fail to attend the scheduled interviews.
