School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)

數據科學學院 [選項:理學士(數據科學)、理學士(數據與系統工程)]

Academic Year of Entry 2023/24
Mode of Funding Government funded
Admission Code JS1071
School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)
Indicative Intake Target
Local Places : click here (for JUPAS and non-JUPAS)

Normal Duration of Programme 4 years
Programme Website Click here to open
Tuition Fee Click here for more information
Programme Leader and Admissions Tutor
Dr Lishuai LI
BEng (Fudan U), MSc & PhD (MIT)
Deputy Programme Leader
Dr Xiao QIAO
BSc (The Wharton School), BEng (U of Pennsylvania), PhD (U of Chicago)
General Enquiries
+852 3442 7887

Programme Brochure

Programme Video

School of Data Science

The School of Data Science (SDSC), the first independent school in the region to focus on data science and its applications, aims to nurture future data science talent, which is urgently needed in numerous industries and by society at large. Boasting world-class faculty and an outstanding infrastructure and vision, the School aspires to become a trailblazer in data science in Hong Kong and beyond.

The SDSC offers interdisciplinary curricula for undergraduate students. These curricula not only provide a solid foundation in data science and a state-of-the-art spectra of data science subjects, but also offer students the chance to undertake projects and courses connected with promising application areas in data science, such as systems analytics, social media analysis, the Internet of Things (IoT), Smart City, Artificial Intelligence and statistical learning approaches. Fostering intellectual curiosity and autonomy, the SDSC provides students with ample opportunities to participate in open-ended projects and realise their dream data science products. Through its extensive industrial partnerships and networks, the SDSC will prepare a new breed of data science professionals to excel in inter-disciplinary and cross-functional collaboration.

What You Will Be Studying

A qualified data scientist or data engineer is trained in a range of computing, mathematics, statistics, and business-oriented topics, gaining a core collection of interdisciplinary skills. The BSc Data Science (BScDS) programme and BSc Data and Systems Engineering (BScDSE) programme will prepare students to become a data science professional with solid theoretical knowledge and rich practical experience. The programmes will offer you a solid foundation in the following areas.

  • Mathematics and computer programming in data science
  • Statistical learning, machine learning and deep learning
  • Artificial intelligence
  • System modelling, simulation and optimization

Three flexible modules of advanced knowledge (BSc Data Science)

   a) Artificial Intelligence (AI)
   b) Social Media Analytics
   c) Statistical Learning

Four flexible categories of advanced knowledge (BSc Data and Systems Engineering)

   a) FinTech
   b) Industrial AI
   c) Smart City
   d) Internet of Things (IoT)

Programme Mission

City University of Hong Kong offers two unique undergraduate programmes, BSc Data Science and BSc Data and Systems Engineering, which are designed to cultivate data science professionals capable of applying and creating the data science knowledge required to support social and economic development in Hong Kong and beyond. Data science, as a rapidly growing field, focuses on solving problems and furthering social progress using vast amounts of data collected in various industries, commerce and applied sciences. A data science professional is trained to use and extract insights from these data,  apply to and solve real-world problems in the data realm responsibly.

BSc Data Science cultivates data scientists and data science professionals with rigorous theoretical and methodological knowledge of data science along with in-depth analysis and evaluation for applied problems.

BSc Data and Systems Engineering cultivates data scientists and advanced data engineers with a solid understanding of the tools and techniques, with a focus on managing data and applying data science techniques to solve social and economic problems.





Admission Arrangements for JUPAS Applicants

JUPAS applicants will be considered for admission to first-year studies at the School of Data Science. Students will have a free choice of majors (current major options: BSc Data Science; BSc Data and Systems Engineering) offered by the School after one year of study.

Entrance Requirements for JUPAS Applicants

JUPAS Catalogue No. and Title
Minimum Level Required
Eng. Lang. Chi. Lang. Mathematics Liberal Studies
Elective SubjectsNotes
Elective 1
Elective 2
School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)
Level 3 Level 3 Level 3 Level 2 Level 3 Level 3


- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” (at grade E or above) can also be used to meet the elective requirement. If students take both M1 and M2, they are counted as one subject only.
- Applied Learning subjects are not counted as elective subjects.
- For details of the alternative Chinese Language qualifications acceptable by the University for Non-Chinese Speaking (NCS) students, please visit

First-Year Curriculum

First-Year Curriculum

Courses No. of Credit Units
General Education University Requirements • GE1401 University English; and
• Discipline-specific English; and
• GE1501 Chinese Civilisation - History & Philosophy
School Specified Requirements School Specified GE courses for normative four-year degree:
MA1508 Calculus
CS2311 Computer Programming
SDSC1001 Introduction to Data Science


Distributional Requirements At least one course from each of the three areas:

Area 1: Arts and Humanities
Area 2: Study of Societies, Social and Business Organisations
Area 3: Science and Technology

School Requirement / Major Requirement MA1503 Linear Algebra with Applications 4
Major Requirement SDSC2004 Data Visualization 3
Total No. of Credit Units: 34 - 37

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.)

Career Prospects

Please refer to the BSc DS and BSc DSE programme information for details.

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at

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.

Major Option(s) Currently Available (The University reserves the right to make changes to the major offerings.)