| Academic Year of Entry | 2023/24 |
| Mode of Funding | Government funded |
| Admission Code | 1718A |
| Mode of Study | Full time |
| Indicative Intake Target |
Non-local Places : click here
|
| Normal Duration of Programme | 3 years (for Advanced Standing I); 2 years (for Advanced Standing II) |
| 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
|
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 (JS1074) or at the School of Data Science (JS1071) and may select this major after one year of study.
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.)
For details on the ASII Entry curriculum structure, please visit the School website at https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes.
Scholarships are available, please refer to the details at https://www.cityu.edu.hk/scholarship/.
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
This major is designed to meet the accreditation requirement of the Hong Kong Institution of Engineers (HKIE). Accreditation for the programme will be sought from the HKIE.
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.
Undergraduate Catalogue (The catalogue for the 2022 cohort is for reference only. The 2023 catalogue will be published around July 2023.)
CityU Scholarships for Hong Kong Talents
