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

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.

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

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.

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.

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.

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

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).

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

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

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.

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.

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 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.

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

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

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.

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

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 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 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

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.

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

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.

JUPAS Entrance Requirements

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

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.

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.

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.

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

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. 

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 cybersecurity.

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.
 

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.

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.

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

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, cybersecurity, multimedia, software engineering/project management and 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.

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.
 

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.

For details, please visit the website of Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University.

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.

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

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).

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