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This programme is one of the leading Computer Science programmes in Hong Kong, providing students with a well-balanced curriculum and solid education in both the theoretical and practical aspects of computing. This foundation enables students to lead successful careers as professional software developers, system architects, system analysts, technology officers, etc. Besides acquiring a broad knowledge of Computer Science, students can elect to specialise in different technology streams, such as artificial intelligence, information security, multimedia, software engineering/project management or data science.

A well-balanced curriculum which comprises a set of highly focused core courses and a wide range of electives, with 5 study streams on Artificial Intelligence, Data Science, Cybersecurity, Multimedia Computing, and Software Engineering and Project Management to allow in-depth study in different areas of expertise.
All students acquire working experience before graduation through the 9-month mandatory IT Professional Internship, an integral component of the curriculum with emphasis on developing applicable skills and addressing the industry needs.
99% full-time employment according to the Graduate Employment Survey 2022 conducted by the University.

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 or have obtained an Associate Degree or Higher Diploma in engineering or a related discipline, or an equivalent qualification.

For senior-year (Advanced standing II) admission, applicants are normally expected to have completed an Associate Degree/Higher Diploma with a cumulative grade point average (CGPA) of ≥3.0 or an equivalent overall mark, or a credit award.

Curriculum Structure

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

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.

The Department launched its first BSc in Computer Studies in 1987 (renamed and restructured as the BSc Computer Science in 2000), followed by the MSc in Computer Science in 1991. The Department also produced its first PhD graduate in 1994.

In addition to offering traditional courses such as foundations of computer science, computer architecture and software engineering, our 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, and information security.

All teaching within the Department is subject to stringent quality assurance procedures. The Department maintains state-of-the-art computing facilities, including a private cloud infrastructure for teaching activities support and a high-throughput computing cluster for computationally intensive tasks involved in various research activities.

The Department's research foci include bioinformatics, cloud computing, data science, evolutionary computation and metaheuristic, information security, machine learning, mobile computing, multimedia computing, software engineering, vision and graphics. Our staff have contributed intellectually and professionally to the advancement of these fields.

Our Target

We provide students with a thorough grounding in the theoretical and practical aspects of the computer science discipline. This prepares them for successful careers as system architects and technology officers in the continually developing information technology environment. Our flexible curriculum enables students to develop a strong foundation in the overall discipline and specialisation in a particular area. Through a wide range of electives, our students can keep pace with trends in technology.

Industrial Training and International Exchange

After completing the first two years of full-time study, CS students will take a 9-month IT Professional Internship (ITPP) course in the third year. This structured placement/internship programme enables our students to integrate and apply what they have learnt in class in a real-world environment. Students perform IT-related projects/developments, and learn how to work as a team member in business or government organizations. In the past, we had students who work at international computer vendors, such as Siemens Ltd., Huawei Tech. Investment Co., Limited; at banks such as HSBC and the Bank of East Asia; at the Hong Kong SAR government and related organisations such as the Office of the Government Chief Information Officer, the Hospital Authority, the Housing Authority and other enterprises such as Hongkong Electric, Deloitte China and Hong Kong Exchanges and Clearing Limited. During the placement year, students will take one day off weekly from work to study a number of courses. For more information, please visit the ITPP website.

If time permits, students may in addition opt for additional short-term overseas internships between the ITPP and semester start. For more information, please visit the University’s Career and Leadership Centre website.

Furthermore, for students to broaden their educational horizons, gain language experience and enhance their awareness of different cultures, the Department, College and University offer over 110 credit-bearing exchange programmes with various partner institutions around the world including universities in Australia, Canada, Europe, the US and the Asia-Pacific region. For details on Outgoing Exchange opportunities, please visit the University's Global Engagement Office website.

Professional Recognition

This programme is the first computer science programme in Hong Kong accredited by the Hong Kong Institution of Engineers (HKIE).

Did You Know?

This is one of the most popular computer science programmes in Hong Kong. We have student exchange partnerships with well-known universities including University College London (UK), University of Bath (UK), University of Sheffield (UK), University of Alicante (Spain), McGill University (Canada), University of Toronto (Canada), University of Illinois at Urbana-Champaign (US) and Vanderbilt University (US), the University of New South Wales (Australia), Peking University (China) and Tsinghua University (China).

Useful Links

Department of Computer Science
College of Engineering
Hong Kong Institution of Engineers
Undergraduate Catalogue
CityUHK Scholarships for Hong Kong Talents

Contact Type

Phone

Contact Value

+852 3442 8580

Contact Type

Fax

Contact Value

+852 3442 0503

Contact Type

Contact Value

[email protected]">[email protected]

Admission Year

Advanced Standing I (Year 2)

Advanced Standing II (Year 3)

Programe A-Z

author_college

College of Computing

author_dept

Department of Computer Science

Title (For sorting)

638

Non-JUPAS Year 1 Admission

Sat, 05/31/2025 - 23:59

Non-JUPAS Senior Year Admission

Sat, 05/31/2025 - 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

When necessary
- November 2024 to June 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

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BSc Data and Systems Engineering

admo03 — Tue, 27 Jun 2023 03:04:08 +0000

BSc Data and Systems Engineering admo03 Tue, 06/27/2023 - 11:04

College/School

College of Computing

Subtitle

理學士(數據與系統工程)

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Academic Year of Entry

2025/2026

Admission Code

1718A

Indicative Intake Target

Local Places:

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

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

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

Non-JUPAS Year 1 Admission

Non-JUPAS Senior Year Admission

International Admission

Mainland Non-Gaokao Admission

Why BSc Data and Systems Engineering?

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

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.

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.

Curriculum Structure

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

For details on the ASII Entry curriculum structure, please visit the School website at https://www.sdsc.cityu.edu.hk/programmes/undergraduate-programmes.

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)

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

Scholarships and Financial Assistance

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

CityUHK’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

Professional Recognisation

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.

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 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 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.

Useful Links

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

pdf-icon1

Programme Brochure

video-icon1

https://youtu.be/oGsmE1PDxsg

Programme Video

Contact Type

Email and Phone

Contact Value

+852 3442 7887
[email protected]">[email protected]

Admission Year

Advanced Standing I (Year 2)

Advanced Standing II (Year 3)

Programe A-Z

author_college

College of Computing

author_dept

Department of Data Science

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

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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

College of Computing

Subtitle

理學士(數據科學)

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Academic Year of Entry

2025/2026

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

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

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 Year 1 Admission

Non-JUPAS Senior Year Admission

International Admission

Mainland Non-Gaokao Admission

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

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

pdf-icon1

Programme Brochure

video-icon1

https://youtu.be/oGsmE1PDxsg

Programme Video

Contact Type

Email and Phone

Contact Value

+852 3442 7887
[email protected]">[email protected]

Admission Year

Advanced Standing I (Year 2)

Advanced Standing II (Year 3)

Programe A-Z

author_college

College of Computing

author_dept

Department of Data Science

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

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BSc Computer Science and BSc Computational Finance and Financial Technology (Double Degree; Features: Corporate Accounting & Economics / Computational Finance / Advanced Statistics / Modeling & Algorithms / Financial Technologies Software Engineering)

admo02 — Tue, 06 Jun 2023 06:33:12 +0000

BSc Computer Science and BSc Computational Finance and Financial Technology (Double Degree; Features: Corporate Accounting & Economics / Computational Finance / Advanced Statistics / Modeling & Algorithms / Financial Technologies Software Engineering) admo02 Tue, 06/06/2023 - 14:33

College/School

College of Business

College of Computing

Interdisciplinary

Subtitle

理學士(電腦科學)與理學士(計算金融及金融科技) (雙學位; 特點: 企業會計與經濟 / 計算金融 / 高階統計 / 建模與演算法 / 金融科技軟件工程)

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Academic Year of Entry

2025/2026

Admission Code

JS1221

Indicative Intake Target

Local Places:

10 (For First Year Entry; Tentative)

Normal Duration of Programme

5 years

Website

https://www.cs.cityu.edu.hk/academic-programmes/double-degree-programme/bsc-com…

Apply Now (URL)

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

Programme Leader

Prof .Howard LEUNG (Department of Computer Science)

BEng McGill, MSc PhD Carnegie Mellon

Admission Scheme

JUPAS Admission

Why Bachelor of Science in Computer Science and Bachelor of Science in Computational Finance and Financial Technology?

Leveraging Technology in Finance to Transform and Go Beyond

Jointly offered by the Department of Computer Science and the College of Business, the programme aims to educate a new generation of professionals with a unique combination of expertise from the important areas of computer science, computational finance, and financial technology. Finance is one of the pillars supporting the economy of Hong Kong, and the use of computational technologies has become pervasive in different business sectors. With recent significant advances in artificial intelligence (AI) and blockchain technologies and their increasing applications in every aspect of the financial industry, the new programme, which comprises a broad set of courses from the Department of Computer Science and College of Business, will train students with a distinctive and interdisciplinary blend of knowledge across the complete spectrum of computer science/computational finance/financial technology areas, from AI, big data analytics, derivatives pricing, financial econometrics, portfolio management to software engineering.

Career Prospects

The interdisciplinary nature of the programme allows students to enter traditional financial careers, and simultaneously equip students with finance domain knowledge and technology background for opportunities in the emerging fintech industry. Employment opportunities available for graduates include:

Quantitative/Finance/Business Analyst
Cybersecurity Analyst
Artificial Intelligence & Machine Learning Specialist
Data Scientist
Risk & Compliance Specialist
Blockchain Developer

After a few years in the field, graduates can take up a specialist role in any one of the above careers or switch among them. Management role, product/service director and entrepreneurship are advanced available options.

Entrance Requirements

JUPAS Entrance Requirements

JS1221 BSc Computer Science and BSc Computational Finance and Financial Technology
HKDSE Subject	Minimum Level Required
English Language	Level 3
Chinese Language	Level 3
Mathematics	Level 4
Citizenship and Social Development	Attained
Elective 1	Level 3 in one elective subject from: - Biology - Chemistry - Information and Communication Technology - M1/M2 - Physics
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.

Curriculum Structure

Curriculum Structure for Bachelor of Science in Computer Science and Bachelor of Science in Computational Finance and Financial Technology

Degree Requirements	Credit Units	BSc in Computer Science	BSc in Computational Finance and Financial Technology
University Requirements and Distributional Requirements	21	GE1401 University English (3 credit units) Discipline-specific GE English (3 credit units) GE2410 English for Engineering or GE2402 English for Business Communication GE1501 Chinese Civilisation - History and Philosophy (3 credit units) Distributional areas (12 credit units)
College-specified courses	18	College-specified courses of CENG (9 credit units): (MA1200/ MA1300) + (MA1201/ MA1301) + JC2066	College-specified courses of CB (9 credit units): CS2204 (in lieu of CB2240) + CS3334 + MA3525
College/School Requirement	12	CS1302 (3 credit units) Take CB2400 to fulfill the 3 credit units of CENG College Requirement	CB2100 (3 credit units) CB2400 (3 credit units) CB3410 (3 credit units)
Major Required Courses	99	33 credit units (From CS core courses)	30 credit units (From CFFT core courses)
		33 credit units (To serve as Core or Electives for both Majors)
		3 credit units (Choose one course from the CS Elective List)
Minimum number of credit units for the Double Degree award	150

College of Business

The College of Business is one of the premier business schools in Asia, offering a full suite of programmes from BBA, BSc, MBA, MSc, EMBA, DBA to PhD level, as well as specialist executive education courses. We are a culturally diverse faculty with over 200 core members of some 17 nationalities, and teach over 5,000 students each year. We are passionate about teaching and research and are currently ranked #39 worldwide for research. We are continuously expanding our work horizons.

Department of Computer Science

The Department of Computer Science has received worldwide recognition for its outstanding research and pedagogical development.

On the education front, our programmes are designed to meet the most pressing information and communication technology needs of business and industry in Hong Kong. The programme provides a solid foundation in computer science knowledge and introduces students to a wide range of modern technologies, design and development processes, and IT professionalism. Students have the opportunity to undertake a major design and development project in an area such as data science, virtual reality, multimedia, computer vision, cloud computing and information security.

Along with exposure to cutting-edge teaching and learning practices, these experiences are shaping a new generation of professionals capable of developing innovative solutions to challenges in new fields in computer science.

To strive for research excellence, the Department conducts world-class fundamental and applied research. With more than 200 projects in progress, the vital areas covered include artificial intelligence, big data analytics, cloud computing, multimedia computing, computer systems, cyber security, and bioinformatics. Two applied research centres of note are the Centre for Decentralized Trust Computing, and the TFI Applied Research Centre for Advanced Digital Media Technology. A number of laboratories also conduct a wide range of research projects.

The Department maintains state-of-the-art computing facilities, including a private cloud infrastructure to support teaching activities and a high-throughput computing cluster for computationally intensive tasks involved in various research activities.

The Department’s research foci include artificial intelligence, bioinformatics, cloud computing, data science, evolutionary computation and metaheuristics, information security, machine learning, mobile computing, multimedia computing, software engineering, computer vision and graphics. Our staff members have contributed intellectually and professionally to the advancement of these fields.

Our Target

The programme aims to educate a new generation of professionals with a unique combination of expertise from the important areas of computer science, computational finance, and financial technology. Finance is one of the pillars supporting the economy of Hong Kong, and the use of computational technologies has become pervasive in different business sectors. With recent significant advances in artificial intelligence (AI) and blockchain technologies and their increasing applications in every aspect of the financial industry, the programme, which comprises a broad set of courses from the Department of Computer Science and College of Business, will train students with a distinctive and interdisciplinary blend of knowledge across the complete spectrum of computer science/computational finance/financial technology areas, from AI, big data analytics, derivatives pricing, financial econometrics, portfolio management to software engineering.

Useful Links

College of Business
College of Engineering
Department of Computer Science
Hong Kong Institution of Engineers
Undergraduate Catalogue
CityUHK Scholarships for Hong Kong Talents
CityUHK Talents Programme

video-icon1

https://www.youtube.com/watch?v=FISBY9733aQ

Programme Video

pdf-icon1

Programme Brochure

Contact Type

Phone

Contact Value

+852 3442 8580

Contact Type

Fax

Contact Value

+852 3442 0503

Contact Type

Contact Value

[email protected]">[email protected]

Admission Year

Year 1

Programe A-Z

author_college

College of Computing

author_dept

Department of Computer Science

Title (For sorting)

424

Minimum Entrance Requirement (Elective)

JS1221 (Elective 1)

Elective 2 (Any 1 Elective Subject_Level 3 for Elective 2nd/3rd/4th & Other Languages)

Programme Calculation Method

Best 5 Subjects

Non-JUPAS Year 1 Admission

Wed, 01/15/2025 - 23:59

Non-JUPAS Senior Year Admission

Wed, 01/15/2025 - 23:59

International Admission

Wed, 01/15/2025 - 23:59

Mainland Non-Gaokao Admission

Wed, 01/15/2025 - 23:59

Deadline applicable to all types of Admission

Wed, 01/15/2025 - 23:59

Historical Data

JS1221 - 2024

Interview Arrangement - JUPAS

When necessary

Late Application (Deadline applicable to all types)

Off

Late Application (International Admission)

Off

Late Application (Mainland Non-Gaokao Admission)

Off

Late Application (Non-JUPAS Senior Year Admission)

Off

Late Application (Non-JUPAS Year 1 Admission)

Off

Maths Core / M1 / M2 Calculation as one Subject

Off

Minimum Entrance Requirement (Core)

Chinese (Min: 3)

English (min: 3)

Math (Min: 4)

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BSc Cybersecurity (Features: System Security / Software Security / Cryptography / Privacy-Enhancing Technologies / Cyber Risk Management)

admo02 — Mon, 05 Jun 2023 08:57:44 +0000

BSc Cybersecurity (Features: System Security / Software Security / Cryptography / Privacy-Enhancing Technologies / Cyber Risk Management) admo02 Mon, 06/05/2023 - 16:57

College/School

College of Computing

Subtitle

理學士 (網絡安全) (特點: 系統安全 / 軟件安全 / 密碼學 / 隱私增強技術 / 網絡風險管理)

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Academic Year of Entry

2025/2026

Admission Code

1218 (JS1218)

Indicative Intake Target

Local Places:

28 (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

https://www.cs.cityu.edu.hk/academic-programmes/programmes-overview

Apply Now (URL)

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

Major Leader

Prof Gerhard Petrus HANCKE

BEng (Pretoria), MEng (Pretoria), PhD (Cambridge), LLB (UNISA), FIEEE CEng

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

JUPAS Admission

Non-JUPAS Year 1 Admission

International Admission

Mainland Non-Gaokao Admission

Why BSc Cybersecurity?

The rapid and unprecedented evolution of the digital landscape is being driven by transformative technologies like AI, Big Data, and FinTech, revolutionizing industries across the globe. Nevertheless, these advancements introduce novel vulnerabilities and threats, underscoring the critical imperative for cybersecurity professionals. The pervasive shortage of skilled cybersecurity experts continues to persist within numerous businesses worldwide, resulting in a substantial and escalating demand for qualified cybersecurity professionals.

Entrance Requirements

JUPAS Applicants

JUPAS Entrance Requirements

JS1218 BSc Cybersecurity
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 in one elective subject from: - Biology - Chemistry - Information and Communication Technology - M1/M2 - Physics
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 studies

Subject Area	Course Code	Course Title	Credit Units
Gateway Education (15 credit units)
Chinese Civilisation	GE1501	Chinese Civilisation - History and Philosophy	3
English	GE1401 and GE2410 LC0200A and LC0200B	University English (3CU) English for Engineering (3CU) or English for Academic Purposes 1 and 2 (6 CU) (depending on students' language background)	6
College-specified Courses(Mathematics)	MA1200 / MA1300	Calculus and Basic Linear Algebra I / Enhanced Calculus and Linear Algebra I	3
College-specified Courses(Mathematics)	MA1201 / MA1301	Calculus and Basic Linear Algebra II / Enhanced Calculus and Linear Algebra II	3
College Requirement (6 credit units)
Computing	CS1302	Introduction to Computer Programming	3
Choose one from the following three subject areas:
Physics	PHY1201	General Physics I (3CU)	3
Chemistry	CHEM1300	Principles of General Chemistry (3CU)
Biology	CHEM1200	Discovery in Biology (3CU)
Major Requirements (9 credit units)
Core Courses	CS2310	Computer Programming	3
	CS2117	Foundation of Cybersecurity	3
	CS2402	Introduction to Computational Probability Modeling	3
Total:			30

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.

Our Target

We provide a comprehensive undergraduate education with a balanced emphasis on both foundational computer science and systematic cybersecurity training. 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.

Industrial Training and International Exchange