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

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

First Year Curriculum

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

Offering a solid foundation in data science and intelligent systems, the BSc Data and Systems Engineering programme equips students with strong analytical and decision-making skills, enabling them to analyse, manage and improve enterprise-class systems. The enterprises considered may be businesses, governmental institutions or service-oriented engineering organisations. Main data science application subjects in this program covers data-driven financial technologies, smart city, artificial intelligence, and industrial internet of things.

BSc Data and Systems Engineering students are nurtured to become analytically minded and versatile graduates capable of collecting, analysing and interpreting big data. 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)

理學士(數據與系統工程)：課程注重建立學生的數據分析思維以致應用數據科學技能來描繪現實中的各類複雜系統與過程，培養學生成為數據分析、系統建模、知識發現和決策優化的專業人才。教學上涵蓋數據統計分析、知識挖掘、系統工程、人工智能等專題。讓學生有機會認識數據科學於社會和業界的廣泛應用層面及實踐需求，同時強化學生對資料採集、分析和應用創新的實踐能力。本課程涵蓋以下四個選修範疇：

1) 金融科技
2) 工業人工智能
3) 智慧城市
4) 物聯網

The unique power of data science knowledge and technology is gaining unprecedented attention in the job market, as big data analytics, data mining, machine learning and artificial intelligence become more and more relevant to mainstream industries. It is no wonder that data science has been heralded by the Harvard Business Review as one of the hottest fields in the 21st century. Data scientists solve some of the hardest problems that businesses face, and their work is relevant to almost all realms of business.

CityU’s BSc Data and Systems Engineering is a unique programme to offer students a solid foundation in data science analytics, fostering their ability to apply emerging data science knowledge and technologies to produce advanced solutions to real emerging system-level business and industrial problems. Graduates with such solid theoretical knowledge and rich practical experience capable of working alongside domain experts are in great demand in virtually all fields, including but not limited to the following.

• Finance and Banking
• Innovative Industry
• E-commerce
• IT and Software Companies
• Smart City
• Logistics and Transportation Systems
• Retail and Digital Marketing
• Power and Energy
• Healthcare and Medical Research
• Government and Public Organisations
• Consultancy
• Education and Research
• Small Business, Start-ups, Multi-industry Opportunities

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

The 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 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 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.

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

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

First-Year Curriculum

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:

1. Artificial Intelligence
2. Social Media Analytics
3. 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

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

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

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 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 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.

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

Data Empowerment: Learn, Transform and Achieve (DELTA) is one of the Flagship Programmes offered by CityUHK. It aims at empowering students with vital knowledge and skills, cultivating their global leadership abilities, and connecting them with leading professionals. The DELTA option is a pioneering approach in data science, computer science and AI education.

Key features

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

Free choice of majors: Students can select their preferred major upon accepting the offer. They will have the options to choose from:

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

* Subject to approval

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.

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)

* Subject to approval

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

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.
 

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)

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.

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

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.cityu.edu.hk/scholarship/.
 

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.

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

Data Science focuses on solving problems and advancing societies using vast amounts of data. Students of 1071 will have a free choice of majors (BSc Data Science or BSc Data and Systems Engineering) after one year of study.

Applicants to this programme (admission code: 1071) will be considered for admission to first-year studies at the Department of Data Science. Students will have a free choice of majors (current major options: BSc Data Science, BSc Data and Systems Engineering) offered by the Department after one year of study.

First-Year Curriculum

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

The Department of Data Science (DS), the first independent school in the region to focus on data science and its applications, aims to nurture future data science talent, which is urgently needed in numerous industries and by society at large. Boasting world-class faculty and an outstanding infrastructure and vision, the School aspires to become a trailblazer in data science in Hong Kong and beyond.  

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

A qualified data scientist or data engineer is trained in a range of computing, mathematics, statistics, and business-oriented topics, gaining a core collection of interdisciplinary skills. The BSc Data Science (BScDS) programme and BSc Data and Systems Engineering (BScDSE) programme will prepare students to become a data science professional with solid theoretical knowledge and rich practical experience. The programmes will offer you a solid foundation in the following areas.

Mathematics and computer programming in data scienceStatistical learning, machine learning and deep learningArtificial intelligenceSystem modelling, simulation and optimization

Three flexible modules of advanced knowledge (BSc Data Science)

• Artificial Intelligence (AI)
• Social Media Analytics
• Statistical Learning

Four flexible categories of advanced knowledge (BSc Data and Systems Engineering)

• FinTech
• Industrial AI
• Smart City
• Internet of Things (IoT)

City University of Hong Kong offers two unique undergraduate programmes, BSc Data Science and BSc Data and Systems Engineering, which are designed to cultivate data science professionals capable of applying and creating the data science knowledge required to support social and economic development in Hong Kong and beyond. Data science, as a rapidly growing field, focuses on solving problems and furthering social progress using vast amounts of data collected in various industries, commerce and applied sciences. A data science professional is trained to use and extract insights from these data,  apply to and solve real-world problems in the data realm responsibly.

BSc Data Science cultivates data scientists and data science professionals with rigorous theoretical and methodological knowledge of data science along with in-depth analysis and evaluation for applied problems.

BSc Data and Systems Engineering cultivates data scientists and advanced data engineers with a solid understanding of the tools and techniques, with a focus on managing data and applying data science techniques to solve social, business and industrial problems.

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

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

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

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

Please refer to the BSc DS and BSc DSE programme information for details.

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

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 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 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.

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