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Advanced Standing I (Year 2)

Programme Brochure

video-icon1

https://youtu.be/oGsmE1PDxsg

Programme Video

Contact Type

Email and Phone

Contact Value

+852 3442 7887
sdscgo@cityu.edu.hk

Admission Year

Advanced Standing II (Year 3)

Programe A-Z

author_college

author_dept

Title (For sorting)

758

Non-JUPAS Year 1 Admission

Wed, 04/30/2025 - 23:59

Non-JUPAS Senior Year Admission

Wed, 04/30/2025 - 23:59

International Admission

Mon, 06/30/2025 - 23:59

Mainland Non-Gaokao Admission

Fri, 01/31/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Interview Arrangement - Direct SY

On a selective basis
- From December 2024 onwards
- Group interview
- English

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Late Application (Mainland Non-Gaokao Admission)

Late Application (Non-JUPAS Senior Year Admission)

Late Application (Non-JUPAS Year 1 Admission)

Maths Core / M1 / M2 Calculation as one Subject

Off

Historical Data Display

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BSc Data Science

admo03 — Tue, 27 Jun 2023 02:50:41 +0000

BSc Data Science admo03 Tue, 06/27/2023 - 10:50

College/School

Subtitle

理學士(數據科學)

Thumbnail

Academic Year of Entry

https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes

Admission Code

1715A

Indicative Intake Target

Local Places:

27 (For First Year and Advanced Standing I Entries; Tentative)*

5 (For Senior Year Entry; Tentative)

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

3 Years (For Advanced Standing I Entry)
2 Years (For Senior Year Entry)

Website

Apply Now (URL)

https://banweb.cityu.edu.hk/pls/PROD/hwskalog_cityu.P_DispLoginNon

Programme Leader and Admissions Tutor

Prof. Xiang ZHOU

PhD – Princeton University, USA

Deputy Programme Leader

Prof. Yu YANG

PhD - Simon Fraser University

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

Non-JUPAS Senior Year Admission

School of Data Science
Undergraduate Catalogue
CityUHK Scholarships for Hong Kong Talents

Why BSc Data Science?

Data Science DEEP

The programme provides essential trainings like quantitative knowledge, statistics, data mining technology and computing tools for emerging real- world applications.
In an inter-professional setting, students are given the tools to build theoretical and methodological knowledge in data science, communication skills and ethic awareness. There are three flexible modules of advanced knowledge:

Artificial Intelligence (Al)
Social Media Analytics
Statistical Learning

Entrance Requirements for Direct/Non-JUPAS Applicants

Entrance Requirements for Direct/Non-JUPAS Applicants

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

Curriculum Structure

For details of the programme’s curriculum structure, please visit the ‘Undergraduate Catalogue’.

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：

人工智能
社交媒體分析
統計學習

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at http://www.jvrhmfr.xyz/scholarship/.

Career Prospects

CityUHK’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.

Student Exchange/Internship

The School provides student exchange and internship opportunities to our students to gain international perspectives, global engagement and industry experience.

Useful Links

Advanced Standing I (Year 2)

Programme Brochure

video-icon1

https://youtu.be/oGsmE1PDxsg

Programme Video

Contact Type

Email and Phone

Contact Value

+852 3442 7887
sdscgo@cityu.edu.hk

Admission Year

Advanced Standing II (Year 3)

Programe A-Z

author_college

author_dept

Title (For sorting)

752

Non-JUPAS Year 1 Admission

Wed, 04/30/2025 - 23:59

Non-JUPAS Senior Year Admission

Wed, 04/30/2025 - 23:59

International Admission

Mon, 06/30/2025 - 23:59

Mainland Non-Gaokao Admission

Fri, 01/31/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Interview Arrangement - Direct SY

On a selective basis
- From December 2024 onwards
- Group interview
- English

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Late Application (Mainland Non-Gaokao Admission)

Late Application (Non-JUPAS Senior Year Admission)

Late Application (Non-JUPAS Year 1 Admission)

Maths Core / M1 / M2 Calculation as one Subject

Off

Historical Data Display

Off

Reduce the font size?

Off

BSc Data and Systems Engineering (Features: Data Science / FinTech / Industrial AI / Smart City / Internet of Things)

admo02 — Fri, 02 Jun 2023 08:47:13 +0000

BSc Data and Systems Engineering (Features: Data Science / FinTech / Industrial AI / Smart City / Internet of Things) admo02 Fri, 06/02/2023 - 16:47

College/School

Subtitle

理學士(數據與系統工程) (特點: 數據科學 / 金融科技 / 工業人工智能 / 智慧城市 / 物聯網)

Thumbnail

Academic Year of Entry

https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes

Admission Code

1074 (JS1074)

Indicative Intake Target

Local Places:

17 (For First Year and Advanced Standing I Entries; Tentative)*

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

4 years

Website

Apply Now (URL)

https://banweb.cityu.edu.hk/pls/PROD/hwskalog_cityu.P_DispLoginNon

Programme Leader and Admissions Tutor

Prof Lishuai LI

BEng (Fudan U), MSc & PhD (MIT)

Deputy Programme Leader

Prof Clint HO

BSc (UCLA), MSc (U of Oxford), PhD (Imperial College London)

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

Department of Data Science
Undergraduate Catalogue
Flexible Admission Arrangement
CityUHK Scholarships for Hong Kong Talents
CityUHK Talents Programme

Why BSc Data and Systems Engineering?

Data Science PLUS

? FinTech

? Industrial Al

? Internet of Things (loT)

? Smart City

Entrance Requirements

JUPAS Applicants

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

Direct/ Non-JUPAS Applicants Entrance Requirements

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

Curriculum Structure

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

Major Requirement

SDSC2004 Data Visualization

Total No. of Credit Units:

For details of the programme’s curriculum structure, please visit the ‘Undergraduate Catalogue’.

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. With such skills, they are proficient at transforming vast amounts of information into actionable insights, enhancing 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

Career Prospects

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at http://www.jvrhmfr.xyz/scholarship/.

Student Exchange / Internship

The Department 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 Department or the University. Paying the tuition at CityUHK, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirement.

The Department 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.

Useful Links

http://www.jvrhmfr.xyz/sdsc_web/leaflet/ug/DS_Leaflet_2024B_UG.pdf

Programme Brochure

Contact Type

Phone

Contact Value

+852 3442 7887

Contact Type

Contact Value

sdscgo@cityu.edu.hk

Admission Year

Year 1

Programe A-Z

author_college

author_dept

Any 2 Elective Subjects_ Level 3 (for Elective 1st/2nd/3rd/4th & Other Lang)

Title (For sorting)

268

Minimum Entrance Requirement (Elective)

Subject Weighting

English (weighting x2)

Math (weighting x2)

Programme Calculation Method

3 Core + 2 Elective Subjects

Non-JUPAS Year 1 Admission

Wed, 04/30/2025 - 23:59

Non-JUPAS Senior Year Admission

Wed, 04/30/2025 - 23:59

International Admission

Mon, 06/30/2025 - 23:59

Mainland Non-Gaokao Admission

Fri, 01/31/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Historical Data

JS1074 - 2024

Interview Arrangement - Direct Yr1

On a selective basis
- From December 2024 onwards
- Group interview
- English

Interview Arrangement - JUPAS

When necessary
- June/July 2025
- Group interview
- English

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Late Application (Mainland Non-Gaokao Admission)

Late Application (Non-JUPAS Senior Year Admission)

Late Application (Non-JUPAS Year 1 Admission)

Maths Core / M1 / M2 Calculation as one Subject

Off

Minimum Entrance Requirement (Core)

Chinese (Min: 3)

Math (Min: 3)

English (min: 3)

Historical Data Display

Reduce the font size?

BSc Data Science (Features: Data Science / Machine Learning / Data Mining / Big Data Analysis)

admo02 — Fri, 02 Jun 2023 08:35:07 +0000

BSc Data Science (Features: Data Science / Machine Learning / Data Mining / Big Data Analysis) admo02 Fri, 06/02/2023 - 16:35

College/School

Subtitle

理學士(數據科學) (特點: 數據科學 / 機器學習 / 數據挖掘 / 大數據分析)

Thumbnail

Academic Year of Entry

https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes

Admission Code

1072 (JS1072)

Indicative Intake Target

Local Places:

27 (For First Year and Advanced Standing I Entries; Tentative)*

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

4 years

Website

Apply Now (URL)

https://banweb.cityu.edu.hk/pls/PROD/hwskalog_cityu.P_DispLoginNon

Programme Leader and Admissions Tutor

Prof Xiang ZHOU

PhD – Princeton University, USA

Deputy Programme Leader

Prof Yu YANG

PhD - Simon Fraser University

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

Department of Data Science
Undergraduate Catalogue
Flexible Admission Arrangement
CityUHK Scholarships for Hong Kong Talents
CityUHK Talents Programme

Why BSc Data Science?

Data Science DEEP

The programme provides essential trainings like quantitative knowledge, statistics, data mining technology and computing tools for emerging real- world applications.

In an inter-professional setting, students are given the tools to build theoretical and methodological knowledge in data science, communication skills and ethic awareness. There are three flexible modules of advanced knowledge:

Artificial Intelligence (Al)
Social Media Analytics
Statistical Learning

Entrance Requirements

JUPAS Applicants

JUPAS Entrance Requirements

JS1072 BSc Data Science
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

Direct/Non-JUPAS Applicants

Direct/ Non-JUPAS Applicants Entrance Requirements

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

Curriculum Structure

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

MA Linear Algebra with Applications

Major Requirement

SDSC2004 Data Visualization

Total No. of Credit Units:

For details of the programme’s curriculum structure, please visit the ‘Undergraduate Catalogue’

What You Will be Studying

The programme provides three flexible modules of advanced knowledge:

Artificial Intelligence
Social Media Analytics
Statistical Learning

人工智能
社交媒體分析
統計學習

Career Prospects

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at http://www.jvrhmfr.xyz/scholarship/.

Student Exchange / Internship

The Department provides student exchange and internship opportunities to our students to gain international perspectives, global engagement and industry experience.

Useful Links

http://www.jvrhmfr.xyz/sdsc_web/leaflet/ug/DS_Leaflet_2024B_UG.pdf

Programme Brochure

Contact Type

Phone

Contact Value

+852 3442 7887

Contact Type

Contact Value

sdscgo@cityu.edu.hk

Admission Year

Year 1

Programe A-Z

author_college

author_dept

Any 2 Elective Subjects_ Level 3 (for Elective 1st/2nd/3rd/4th & Other Lang)

Title (For sorting)

262

Minimum Entrance Requirement (Elective)

Subject Weighting

English (weighting x2)

Math (weighting x2)

Programme Calculation Method

3 Core + 2 Elective Subjects

Non-JUPAS Year 1 Admission

Wed, 04/30/2025 - 23:59

Non-JUPAS Senior Year Admission

Wed, 04/30/2025 - 23:59

International Admission

Mon, 06/30/2025 - 23:59

Mainland Non-Gaokao Admission

Fri, 01/31/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Historical Data

JS1072 - 2024

Interview Arrangement - Direct Yr1

On a selective basis
- From December 2024 onwards
- Group interview
- English

Interview Arrangement - JUPAS

When necessary
- June/July 2025
- Group interview
- English

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Late Application (Mainland Non-Gaokao Admission)

Late Application (Non-JUPAS Senior Year Admission)

Late Application (Non-JUPAS Year 1 Admission)

Maths Core / M1 / M2 Calculation as one Subject

Off

Minimum Entrance Requirement (Core)

Chinese (Min: 3)

English (min: 3)

Math (Min: 3)

Historical Data Display

Reduce the font size?

Off

Data Empowerment: Learn, Transform and Achieve (DELTA) (Features: Free Choice of Major / One-to-One Advisor / Elite Work Placement / Executive Mentor Scheme / Premium Overseas Exchange / Internship Exchange)

admo02 — Fri, 02 Jun 2023 07:58:11 +0000

Data Empowerment: Learn, Transform and Achieve (DELTA) (Features: Free Choice of Major / One-to-One Advisor / Elite Work Placement / Executive Mentor Scheme / Premium Overseas Exchange / Internship Exchange) admo02 Fri, 06/02/2023 - 15:58

College/School

Subtitle

數據賦能: 學習?突破?成就課程 (特點: 自由選擇學院專業學科 / 一對一專業導師 / 精英學生實習培訓 / 專業導師指導計劃 / 頂尖海外大學交流)

Thumbnail

Academic Year of Entry

http://www.jvrhmfr.xyz/cc/programmes/flagship-programme/data-empowerment-lear…

Admission Code

1070 (JS1070)

Indicative Intake Target

Local Places:

15 (For First Year Entry; Tentative)*

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

4 years

Website

Apply Now (URL)

https://banweb.cityu.edu.hk/pls/PROD/hwskalog_cityu.P_DispLoginNon

Programme Leader and Admissions Tutor

Prof Lishuai LI

BEng (Fudan U), MSc & PhD (MIT)

Deputy Programme Leader

Prof Xiao QIAO

BSc (The Wharton School), BEng (U of Pennsylvania), PhD (U of Chicago)

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

College of Computing
Department of Computer Science
Department of Data Science
Undergraduate Catalogue
Flexible Admission Arrangement
CityUHK Scholarships for Hong Kong Talents
CityUHK Talents Programme

Why Data Empowerment: Learn, Transform and Achieve (DELTA)?

Data Empowerment: Learn, Transform and Achieve (DELTA) is one of the Flagship Programmes offered by CityUHK. The DELTA option stands as a pioneering approach initiative in data science, computer science and AI education. It aims to offer exceptional students a comprehensive education in these fields, and unparalleled opportunities to gain valuable international exposure and practical experience through overseas exchanges and elite work placements at renowned universities and leading worldwide companies.

Key features

Students admitted to the DELTA programme will enjoy the exclusive features, including:

Free choice of majors: Admitted students will have the flexibility to select their preferred major upon accepting the offer. The available majors for the DELTA stream option are:

BSc Computer Science (DELTA stream)
BSc Cybersecurity (DELTA stream)
BSc Data Science (DELTA stream)
BSc Data and Systems Engineering (DELTA stream)

1. Personalized one-to-one advising: Each admitted student will be assigned a dedicated faculty member who will provide personalized guidance and support throughout the academic studies.

2. Cross cultural exposure: Students will be given priority to participate in the Cultural and Language Immersion Scheme organized by the College of Computing. This scheme aims to foster cross-cultural competence and preparing students for future international exchanges, enhancing their global perspectives.

3. Elite work placement: Students will have the opportunity to gain practical experience and expand their professional network through placement at reputable companies. During these placements, they will be exposed to high level tasks and supervised by senior level staff.

4. Executive Mentor Scheme: Each student will be paired with a senior professional who will serve as their executive mentor. This programme aims to deepen the understanding of the industry and enhancing the entrepreneurship skills.

5. Premium overseas exchange/Internship exchange: Students will be arranged to pursue an attachment at a prestigious overseas university such as MIT and Imperial College London, for exchange or engage in a summer programme.

Entrance Requirements

JUPAS Applicants

JUPAS Entrance Requirements

JS1070 Data Empowerment: Learn, Transform and Achieve (DELTA) (Features: Free Choice of Major / One-to-One Advisor / Elite Work Placement / Executive Mentor Scheme / Premium Overseas Exchange / Internship Exchange)
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

Direct/Non-JUPAS Applicants

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

Admission Arrangements

Applicants to this programme will have a free choice of majors offered by the Department of Computer Science, and the Department of Data Science. The major options are:

BSc Computer Science (DELTA stream)
BSc Cybersecurity (DELTA stream)
BSc Data Science (DELTA stream)
BSc Data and Systems Engineering (DELTA stream)

Curriculum Structure

For details of the programme curriculum structure, please visit the “Undergraduate Catalogue”.

College of Computing

College of Computing
The College of Computing, comprising the Department of Biostatistics, Department of Computer Science and the Department of Data Science, aspires to serve as a centre of excellence in the integrated study of computer science, data science, and statistics, harnessing the synergies among these disciplines to conduct cutting-edge, collaborative research that develops advanced analytical tools and AI-powered solutions to tackle complex global challenges. We are committed to nurturing a diverse community of international learners, equipping them with the technical expertise, analytical skills, and interdisciplinary mindset needed to drive impactful change in various industries and sectors. The undergraduate programmes are offered by the Department of Computer Science and the Department of Data Science.

Department of Computer Science
The Department of Computer Science was established in 1984, and has evolved from a teaching-oriented department into one that excels in both teaching and research.

In addition to offering traditional courses such as foundations of computer science, computer architecture and software engineering, the curriculum exposes students to the latest advances in cloud computing, machine learning, and bioinformatics. Students have the opportunity to undertake a major design and development project in areas such as electronic commerce, virtual reality, multimedia, computer vision, cloud computing, information security and cybersecurity.

Department of Data Science
The Department of Data Science, the first department 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 department aspires to become a trailblazer in data science in Hong Kong and beyond.

The department 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 department 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 department will prepare a new breed of data science professionals to excel in inter-disciplinary and cross-functional collaboration.

What You Will be Studying

Data Empowerment: Learn, Transform and Achieve (DELTA) programme will prepare students to become professionals with solid theoretical knowledge and rich practical experience. The programmes will offer you a solid foundation in the following areas.

BSc Computer Science (DELTA stream)
?    Computer Systems
?    Algorithm Design and Analysis and Mathematics
?    Software Engineering

BSc Cybersecurity (DELTA stream):
?    Operating Systems
?    Problem Solving and Analysis
?    Programming and Modelling
?    Data Structures
?    Software Security and Design

BSc Data Science (DELTA stream):
?    Artificial Intelligence (AI)
?    Social Media Analytics
?    Statistical Learning

BSc Data and Systems Engineering (DELTA stream):
?    FinTech
?    Industrial AI
?    Smart City
?    Internet of Things (IoT)

Programme Mission

BSc Computer Science (DELTA stream)

The major provides students with a thorough grounding in the theoretical and practical aspects of the computer science discipline necessary for successful careers as professional software developers, system architects/analysts, technology officers, etc., in the continually developing information technology environment.

BSc Cybersecurity (DELTA stream)

The major provides a comprehensive undergraduate education with a balanced emphasis on both foundational computer science and systematic cybersecurity training. The curriculum is designed to ensure that students gain a solid understanding of the cybersecurity principles, practical skills in various security domains, and the managerial knowledge required to oversee or contribute to a cybersecurity team, all built upon a solid foundation of computer science education.

BSc Data Science (DELTA stream)

The major 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 (DELTA stream)

The major 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.

Career Prospects

BSc Computer Science (DELTA stream)
Graduates of this major will have good employment opportunities in the field of information technology. They will be equipped for jobs which involve state-of-the-art technology and design and construction of large software systems. The provision of study streams allows students to pursue specializations in state-of-the-art technology such as data science, cloud computing and mobile applications, further enhancing their career prospect in these areas.

BSc Cybersecurity (DELTA stream)
Cybersecurity is a rapidly expanding field that presents numerous employment prospects for qualified professionals. Graduates specializing in cybersecurity have a wide array of career paths to explore.
? Entry-level Cybersecurity Personnel: Help Desk Technicians, Network Administrators, Software Developers
? Specialized Cybersecurity Analyst: Security Architects, Cybersecurity Managers, Chief Information Security Officers, Security Consultant

BSc Data Science (DELTA stream)
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.

BSc Data and Systems Engineering (DELTA stream)
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 of the above two programmes 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 and Financial Assistance

Eligible students admitted to the DELTA programme shall be considered for the Flagship Scholarships, including:
1.    Tuition fees and hall fees incurred at CityUHK and is tenable for the normal duration of the programmes concerned.
?    Full Scholarship: 100% tuition and hall fee
?    Half Scholarship: 50% tuition and hall fee
2.    Guaranteed berth in the Halls of Residence.
3.    A one-off special sponsorship of a maximum amount of HK$500,000 for an overseas exchange of up to one year at a top-ranked university.

Besides the Flagship Scholarships, various types of CityUHK scholarships are also available for eligible students. Please refer to details at http://www.jvrhmfr.xyz/scholarship/.

Student Exchange / Internship

Both the Department of Computer Science and the Department of Data Science provide student exchange and internship opportunities to their 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 Departments, the College or the University. Paying the tuition at CityUHK, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirements.

The Departments also partner with premier corporates in a wide range of sectors to offer internship opportunities (1-semester Advanced Data Science Internship/ 9-month IT Professional Internship) relevant to the majors. With these placements, students will be exposed to high-level tasks and supervised by senior-level staff, and are expected to gain practical knowledge as well as hands-on experience in real-word applications.

Useful Links

Flagship Programme

This is one of the CityUHK’s Flagship Programmes, which equip students with essential knowledge and skills, cultivate their global leadership abilities, and connect them with leading professionals. The Flagship Scholarships, which cover tuition and hall fees, a guaranteed berth, and a one-off exchange sponsorship of up to HK$500,000, will be awarded to local JUPAS talents who meet the criteria.

http://www.jvrhmfr.xyz/cc/system/files/2025-05/UGC%20Programme%20Flyer_0.pdf

College of Computing

https://www.cs.cityu.edu.hk/system/files?file=20240430%20BScCS%20leaflet_small.pdf

BSc Computer Science

https://www.cs.cityu.edu.hk/system/files?file=CityUHK_Cybersecurity.pdf

BSc Cybersecurity

http://www.jvrhmfr.xyz/sdsc_web/leaflet/ug/DS_Leaflet_2024B_UG.pdf

BSc Data Science/ BSc Data and Systems Engineering

http://www.jvrhmfr.xyz/cc/system/files/2025-01/DELTA_Flagship_Programme.pdf

Data Empowerment: Learn, Transform and Achieve (DELTA)

Contact Type

Phone

Contact Value

+852 3442 8719

Contact Type

Contact Value

ccflagship@cityu.edu.hk

Admission Year

Year 1

Programe A-Z

author_college

author_dept

Any 2 Elective Subjects_ Level 3 (for Elective 1st/2nd/3rd/4th & Other Lang)

Title (For sorting)

250

Minimum Entrance Requirement (Elective)

Subject Weighting

English (weighting x2)

Math (weighting x2)

Programme Calculation Method

3 Core + 2 Elective Subjects

Non-JUPAS Year 1 Admission

Mon, 06/30/2025 - 23:59

Non-JUPAS Senior Year Admission

Mon, 06/30/2025 - 23:59

International Admission

Mon, 06/30/2025 - 23:59

Mainland Non-Gaokao Admission

Fri, 01/31/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Historical Data

JS1070 - 2024

Interview Arrangement - Direct Yr1

On a selective basis
- From December 2024 onwards
- Group interview
- English

Interview Arrangement - JUPAS

When necessary
- June/July 2025
- Group interview
- English

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Late Application (Mainland Non-Gaokao Admission)

Late Application (Non-JUPAS Senior Year Admission)

Late Application (Non-JUPAS Year 1 Admission)

Maths Core / M1 / M2 Calculation as one Subject

Off

Minimum Entrance Requirement (Core)

Chinese (Min: 3)

Math (Min: 3)

English (min: 3)

Historical Data Display

Reduce the font size?

Data Science (Majors: BSc Data Science / BSc Data and Systems Engineering)

admo02 — Fri, 02 Jun 2023 07:58:11 +0000

Data Science (Majors: BSc Data Science / BSc Data and Systems Engineering) admo02 Fri, 06/02/2023 - 15:58

College/School

Subtitle

數據科學 [主修：理學士 (數據科學) / 理學士 (數據與系統工程)]

Thumbnail

Academic Year of Entry

https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes

Admission Code

1071 (JS1071)

Indicative Intake Target

Local Places:

20 (For First Year Entry; Tentative)*

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

4 years

Website

Apply Now (URL)

https://banweb.cityu.edu.hk/pls/PROD/hwskalog_cityu.P_DispLoginNon

Programme Leader and Admissions Tutor

Prof Lishuai LI

BEng (Fudan U), MSc & PhD (MIT)

Deputy Programme Leader

Prof Xiao QIAO

BSc (The Wharton School), BEng (U of Pennsylvania), PhD (U of Chicago)

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme