BSc Data and Systems Engineering


Academic Year of Entry 2023/24
Mode of Funding Government funded
Admission Code 1074
BSc Data and Systems Engineering
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 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 Clint HO
BSc (UCLA), MSc (U of Oxford), PhD (Imperial College London)
General Enquiries
+852 3442 7887
Remark: For JUPAS applicants, the programme code is JS1074.

Programme Brochure

Programme Video

What You Will Be Studying

Offering a solid foundation in data science and intelligent systems, the BSc Data and Systems Engineering programme equips students with strong analytical and decision-making skills, enabling them to analyse, manage and improve enterprise-class systems. The enterprises considered may be businesses, governmental institutions or service-oriented engineering organisations. Main data science application subjects in this program covers data-driven financial technologies, smart city artificial intelligence, and industrial internet of things.

BSc Data and Systems Engineering students are nurtured to become analytically minded and versatile graduates capable of collecting, analysing and interpreting big data and transforming these massive amounts of information into insights into ways of improving decision making in their organisations.

The programme provides four flexible categories of advanced knowledge:
a) FinTech
b) Industrial AI
c) Smart City
d) Internet of Things (IoT)


1) 金融科技
2) 工業人工智能
3) 智慧城市
4) 物聯網

Entrance Requirements for Direct/Non-JUPAS Applicants

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

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

9 - 12
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.)

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 and Systems Engineering is a unique programme to offer students a solid foundation in data science analytics, fostering their ability to apply emerging data science knowledge and technologies to produce advanced solutions to real emerging system-level business and industrial 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.