BSc Data Science


Academic Year of Entry 2023/24
Mode of Funding Government funded
Admission Code 1715A
Mode of Study Full time
Indicative Intake Target
Local Places : click here (for JUPAS and non-JUPAS)

Non-local Places : click here
Normal Duration of Programme 3 years (for advanced standing I)
Programme Website Click here to open
Tuition Fee Click here for more information
Programme Leader and Admissions Tutor
Dr Xiang ZHOU
PhD – Princeton University, USA
Deputy Programme Leader
Dr Qingpeng ZHANG
BEng (HUST), MS (Arizona), PhD (Arizona)
General Enquiries
+852 3442 7887

Programme Brochure

Programme Video

What You Will Be Studying

The BSc Data Science aims to provide data science graduates with essential training in the quantitative methods, statistical analysis techniques, data mining technology and computing tools required for the effective use and analysis of big and complex data for real-world applications that involve making sense of complex data to realize planning and decision making. The programme develops strong and interdisciplinary training in the ability to build data analysis reasoning, communication skills and ethic awareness in realistic inter-professional settings for commercial or public policy problems in various disciplines.

The programme provides three flexible modules of advanced knowledge:
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning


  1. 人工智能
  2. 社交媒體分析
  3. 統計學習

Entrance Requirements for Direct/Non-JUPAS Applicants

To be considered for admission, you must satisfy the General Entrance Requirements.

Associate Degree (AD)/ Higher Diploma (HD) graduates or final year students may apply for admission with Advanced Standing. Applicants are normally expected to have completed the AD/HD award with a CGPA of ≥3.0, or an equivalent overall mark or a credit award.

HKDSE students may apply for admission to first-year studies in this major (JS1072) or at the School of Data Science (JS1071) and may select this major after one year of study.



Curriculum Structure (Advanced Standing I Entry)

For details of the programme’s curriculum structure, please visit the ‘Undergraduate Catalogue’ (Note: The catalogue for the 2022 cohort is for reference only. The 2023 catalogue will be published around July 2023.)

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at

Career Prospects

The unique power of data science knowledge and technology is gaining unprecedented attention in the job market, as big data analytics, data mining, machine learning and artificial intelligence become more and more relevant to mainstream industries. It is no wonder that data science has been heralded by the Harvard Business Review as one of the hottest fields in the 21st century. Data scientists solve some of the hardest problems that businesses face, and their work is relevant to almost all realms of business.

CityU’s BSc Data Science is a unique programme to offer students a rigorous theoretical and methodological knowledge of data science along with in-depth analysis and evaluation for applied problems. Graduates with such solid theoretical knowledge and rich practical experience capable of working alongside domain experts are in great demand in virtually all fields, including but not limited to the following.

• Finance and Banking
• Innovative Industry
• E-commerce
• IT and Software Companies
• Smart City
• Logistics and Transportation Systems
• Retail and Digital Marketing
• Power and Energy
• Healthcare and Medical Research
• Government and Public Organisations
• Consultancy
• Education and Research
• Small Business, Start-ups, Multi-industry Opportunities

Student Exchange/Internship

The School provides student exchange and internship opportunities to our students to gain international perspectives, global engagement and industry experience.

Students may choose between the overseas student exchange opportunities at world-leading institutions provided by the School or the University. Paying the tuition at CityU, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirement.

The School also partners with premier corporates in a wide range of sectors to offer internship opportunities relevant to our majors. With these placements, students are expected to gain practical knowledge and hands-on experience in real-world applications.