BSc Data and Systems Engineering
1074 (JS1074)
Local Places:
20 (For First Year and Advanced Standing I Entries)*
Non-Local Places
(For Overall Direct Applications):
Around 300
BEng (Fudan U), MSc & PhD (MIT)
BSc (UCLA), MSc (U of Oxford), PhD (Imperial College London)
+852 3442 7887
* for JUPAS and non-JUPAS admissions
Data Science PLUS
The programme offers solid foundation in data science and intelligent systems, where students will learn to analyse, manage and improve enterprise class systems using big data. Graduates will be equipped with necessary tools and skills to solve emerging real-world application problems and become big data professionals in the following fields:
• FinTech
• Industrial Al
• Internet of Things (loT)
• Smart City
JUPAS Entrance Requirements
| JS1074 BSc Data and Systems Engineering | |
| HKDSE Subject | Minimum Level Required |
| English Language | Level 3 |
| Chinese Language | Level 3 |
| Mathematics | Level 3 |
| Citizenship and Social Development | Attained |
| Elective 1 | Level 3 |
| Elective 2 | Level 3 |
Notes:
- 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 click here.
Direct/ Non-JUPAS Applicants Entrance Requirements
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 | 9 | |||||
| School Specified Requirements | School Specified GE courses for normative four-year degree:
| 9
| ||||||
| Distributional Requirements | At least one course from each of the three areas: Area 1: Arts and Humanities | 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’.
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)
理學士(數據與系統工程)：課程注重建立學生的數據分析思維以致應用數據科學技能來描繪現實中的各類複雜系統與過程，培養學生成為數據分析、系統建模、知識發現和決策優化的專業人才。教學上涵蓋數據統計分析、知識挖掘、系統工程、人工智能等專題。讓學生有機會認識數據科學於社會和業界的廣泛應用層面及實踐需求，同時強化學生對資料採集、分析和應用創新的實踐能力。本課程涵蓋以下四個選修範疇：
1) 金融科技
2) 工業人工智能
3) 智慧城市
4) 物聯網
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
Scholarships are available, please refer to the details at https://www.cityu.edu.hk/scholarship/.
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.
