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 1071
School of Data Science (options: BSc Data Science, 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 Xiao QIAO
BSc (The Wharton School), BEng (U of Pennsylvania), PhD (U of Chicago)
General Enquiries
+852 3442 7887
Remark: For JUPAS applicants, the programme code is JS1071.



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.

數據科學發展迅速,着重於利用大量從各行業、商業、應用領域收集的數據去解決相關問題及作出改善。學生在第一學年須修讀數學、電腦、數據科學入門等基礎科學科目。在完成第一年學業後,自由選讀「理學士(數據科學)」或「理學士(數據與系統工程)」其中一個主修課程和相關科目。

「理學士(數據科學)」及「理學士(數據與系統工程)」分別針對數據科學的應用和研究範疇。

理學士(數據科學):旨在培育擁有紥實的數據科學理論及知識基礎的未來數據科學家,並探索新的數據科學研究方法。

理學士(數據與系統工程):旨在培育擁有紥實的數據科學工具知識及技巧的未來數據科學家。課程將着重於數據科學於社會及經濟上的實際應用。


Admission Arrangements for Direct / Non-JUPAS Applicants

Applicants to this programme (admission code: 1071) 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 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
9
School Specified Requirements School Specified GE courses for normative four-year degree:
MA1508 Calculus
CS2311 Computer Programming
SDSC1001 Introduction to Data Science
9

 

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 Visucalization 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 https://www.cityu.edu.hk/scholarship/.


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.)


BSc Data Science

Programme Title
BSc Data Science
理學士(數據科學)
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


理學士(數據科學):課程旨在為學生建立紥實的數據科學基礎和理論知識,並透過跨學科的培訓,提供如定量知識、統計學習、數據挖掘技術和電腦科學等課題,幫助學生融會貫通各領域和產業的專業需求,有效地分析和使用大數據和複雜資訊,建立分析推理能力、溝通技巧和道德意識。本課程具備以下三個專題讓學生針對個人興趣進行選修:

  1. 人工智能
  2. 社交媒體分析
  3. 統計學習
Scholarships and Financial Assistance

Scholarships are available, please refer to the details at https://www.cityu.edu.hk/scholarship/.

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.