BSc Architecture and Surveying

College/School
Subtitle
理學士(建築學及測量學)
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Academic Year of Entry
Admission Code

1707A

Indicative Intake Target

Local Places:
87(For First Year and Advanced Standing I Entries; Tentative)*

14 (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 Advanced Standing II Entry)
Remarks

* for JUPAS and non-JUPAS admissions

Why BSc Architecture and Surveying?

Both Architecture and Surveying nurtures professionals to become the gatekeepers of built facilities.

Architects are professionals to support Hong Kong's move to a knowledge-based economy and ensure its built environment quality befits its world-class city status. The stream curriculum aims to offer well-balanced teaching and learning with an emphasis on the technological aspects of architectural design and construction. It is designed to equip participants with the concept of full integration between architectural studies with other disciplines that produce the built environment, including building services and civil engineering, property development, surveying, property management, landscape architecture and urban planning.

Themes of Study

  • Architecture studio/ project
  • Technology – Technical and Environmental
  • Communication
  • Architecture History and Societal
  • Professional Practice

Surveyors are always regarded by the general public as building economists, contract advisors, doctors and managers. The duties of quantity surveyors are to ensure a construction project is within budget and free of unnecessary contractual risks. As for the building surveyors, they uphold the standards of the building regulations by inspecting and approving the building design, examine the safety performance of existing buildings, etc. Surveyors’ legal, economic and technical knowledge in construction make them very sought after for managing a project.

Themes of Study

  • Construction law and dispute resolution
  • Construction economics
  • Project management
  • Construction technology
  • Building regulations and control
  • Building inspection

     
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 and the following major-specific entrance requirements:

  • level 3 or above in HKDSE Mathematics;
  • grade C or above in GCE A Level Mathematics;
  • subject score of 4 or above in the IB Mathematics subject group; OR
  • other qualifications equivalent to any one of the above and approved by the University.
Curriculum Structure

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

Our Target

Architecture Stream: We aim to provide a basis for continuing professional development and encourage professional specialization and higher academic study. This major is designed to prepare graduates for a multidisciplinary professional architectural practice by equipping them with a deep understanding of diverse architectural knowledge and a command of technology and integration that will enable them to serve the building industry as architects or other professionals. Graduates will become the driving force behind innovative and creative architectural designs that reflect a balance and integration of design and technology.

Surveying Stream: We aim to provide students with the necessary skills and knowledge to i) participate in real estate and infrastructure developments, ii) analyse building development proposals, iii) appraise contemporary building science and engineering techniques, iv) advise on appropriate means of procurement, v) pursue financial control of construction projects and vi) apply a multi-disciplinary approach to the management of construction processes.

Start Your Career Here

The construction industry has been one of the major drivers of the economies of Hong Kong and mainland China. This trend is expected to continue in view of recent major infrastructure developments in Hong Kong.

Architecture Stream: This major aims to provide students with a sound professional and technological foundation to pursue higher professional degree studies. Given the fast pace of urbanization in the Chinese mainland and the rest of Asia, millions of people will move to cities in the coming decades. Constructing new towns and restoring old towns is an immense task. The number of architectural professionals in the Chinese mainland and throughout Asia is far from sufficient to meet the increasing social demand and expected growth as the economy improves and the property market recovers.

Surveying Stream: Surveyors will find career opportunities in many areas including real-estate development, construction, building economics, law, contracts, design, maintenance, project and facilities management and finance.

Graduates of both Surveying and Architecture streams are expected to be in high demand.

What You Will Be Studying

Architecture Stream:

The courses in the curriculum are built around five themes:

  • Architecture Studio/ Project
  • Technology – Technical and Environmental
  • Communication
  • Architecture History and Societal
  • Professional Practice

The curriculum is structured around the Architectural Design studio sequence and supplemented by a broad spectrum of courses covering the subject areas.

The first two Architectural Design studios seek to strengthen your overall grasp of the understanding of space design and site responses. The next two seek to allow students to explore an integrated design for a building typology and responses of architecture to urbanism, respectively.  The final year comprises a Final Year Design Research Project, which enables students to integrate their knowledge and skills acquired so far, into exploring a topic of interest selected by themselves, resulting in a related architectural proposition. This takes place under the supervision of an academic staff member.

Surveying Stream:

  • Technology: Construction Methods, Building Design and Appraisal, Building Science and Engineering, Materials and Products, Energy Utilisation, Fire Safety, Building Services, Building Structures and Maintenance Technology.
  • Communications: Information Systems, Professional Practice and Language.
  • Economics: Tendering Strategies, Life Cycle Costing, Budgets, Development Appraisal, Measurement and Valuation of Construction Work.
  • Law: Hong Kong Legal System, Law of Contract, Tort and Property, Construction Contracts, Building and Planning Control.
  • Management: Principles of Management, Supervision, Organisation, Planning, Decision-Making, Property and Project Management and Computer Applications.
Industrial Training and International Exchange

The College of Engineering and the Department offer work placement opportunities through internship schemes that provide students with full-time job attachments to firms not only in Hong Kong, but also in the PRC and overseas. Through such placements, students will:

  • gain solid experience in a real-life work environment;
  • develop problem-solving abilities and interpersonal skills;
  • learn the right attitudes towards work and professionalism; and
  • broaden their experience and enhance their employability.

For details, please visit the College’s Co-operative Education website.

Furthermore, to help students to broaden their educational horizons, gain language experience and enhance their awareness of different cultures, the Department, College and University offer a number of 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, please visit the University’s outbound exchange programme website.

Professional Recognition

The Architecture Stream will seek accreditation by the Hong Kong Institute of Architects and Architects Registration Board in 2027. The former architecture programme - Bachelor of Science in Architectural Studies was accredited since 2014.

Surveying Stream:

1. This Major (Surveying Stream) is accredited by:

  • The Royal Institution of Chartered Surveyors (RICS) in the form of partnership
  • The Hong Kong Institute of Surveyors (HKIS)

2. Graduates who are going to apply for entry to the APC scheme of Building Surveying Division (BSD) and Quantity Surveying Division (QSD) of The Hong Kong Institute of Surveyors (HKIS) have to complete the following courses:

The HKIS QSD:

  • CA2126 Measurement of Building Works
  • CA3214 Construction Economics
  • CA4229 Land Use Planning & Applied Valuation
  • CA4320 Cost Management of Building and Engineering Works

The HKIS BSD:

  • CA4229 Land Use Planning & Applied Valuation (for 2017 intake onward)
  • CA4623 Maintenance Technology and Management
Did You Know?
  • 100% of our graduates find jobs in related professional fields within three months of graduation.
  • This major participants in an Industrial Attachment Scheme that offers students the opportunity to gain practical industrial experience.
  • Under the Industrial Mentoring Scheme (Surveying), students have the opportunity to obtain advice from industrial mentors during their final two years of study.
Programme Brochure
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+852 3442 7609

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746
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Deadline applicable to all types of Admission
Interview Arrangement - Direct SY

On a selective basis
- November 2024 to July 2025
- Group and/or individual interviews
- English

Late Application (Deadline applicable to all types)
Off
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Off
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BSc Data and Systems Engineering

College/School
Subtitle
理學士(數據與系統工程)
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SDSC
Academic Year of Entry
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)
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

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

Career Prospects

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

CityU’s BSc Data 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 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.

Programme Brochure
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+852 3442 7887
sdscgo@cityu.edu.hk

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758
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Interview Arrangement - Direct SY

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

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Off
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Off
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BSc Data Science

College/School
Subtitle
理學士(數據科學)
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SDSC
Academic Year of Entry
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)
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

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.

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’.

What You Will Be Studying

The BSc Data Science aims to provide data science graduates with essential training in the quantitative methods, statistical analysis techniques, data mining technology and computing tools required for the effective use and analysis of big and complex data for real-world applications that involve making sense of complex data to realize planning and decision making. The programme develops strong and interdisciplinary training in the ability to build data analysis reasoning, communication skills and ethic awareness in realistic inter-professional settings for commercial or public policy problems in various disciplines.

The programme provides three flexible modules of advanced knowledge:
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning


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

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

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

Career Prospects

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

CityU’s BSc Data Science is a unique programme to offer students a rigorous theoretical and methodological knowledge of data science along with in-depth analysis and evaluation for applied problems. Graduates with such solid theoretical knowledge and rich practical experience capable of working alongside domain experts are in great demand in virtually all fields, including but not limited to the following.

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

Student Exchange/Internship

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

Students may choose between the overseas student exchange opportunities at world-leading institutions provided by the School or the University. Paying the tuition at CityU, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirement.

The School also partners with premier corporates in a wide range of sectors to offer internship opportunities relevant to our majors. With these placements, students are expected to gain practical knowledge and hands-on experience in real-world applications.

Programme Brochure
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+852 3442 7887
sdscgo@cityu.edu.hk

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752
Non-JUPAS Year 1 Admission
Non-JUPAS Senior Year Admission
International Admission
Mainland Non-Gaokao Admission
Deadline applicable to all types of Admission
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)
Off
Late Application (Mainland Non-Gaokao Admission)
Off
Late Application (Non-JUPAS Senior Year Admission)
Off
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BA Digital Television and Broadcasting

Subtitle
文學士(數碼電視與廣播)
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Banner for COM 20230731 NEW
Academic Year of Entry
Admission Code

1356A

Indicative Intake Target

Local Places:

45 (For First Year and Advanced Standing I Entries; Tentative)* and 
20 (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)
Professor
KIM Ki Joon
Remarks

* for JUPAS and non-JUPAS admissions

Why BA Digital Television and Broadcasting?

The Department offers a range of innovative degree programmes designed to train versatile professional communicators for the age of media convergence and information integration. Graduates are well positioned for diverse careers in the media industry and communication sectors in businesses and government organizations.

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.

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’.

Our Target

The B.A. Programme in Digital Television and Broadcasting (BATVB) aims to train students to be professionals in the digital new media industry. It puts students at the forefront of new media technology and enables them to learn a broad range of digital media skills, concepts, content, forms, trends and terminologies. It develops and extends students’ creative potential and nurtures their entrepreneurial expertise in such a way that encourages them to explore, discover and present unique peculiarities of social realities. It prepares graduates to take up the creative media, innovative, technological and management roles in the ever-changing media sectors in Hong Kong and elsewhere.

What You Will Be Studying

Please click here for details.

Start Your Career Here

This major trains students to be internationally oriented professionals with the knowledge and integrated skills to succeed in the media and communication sectors, particularly the rapidly expanding digital television and broadcasting industry, the advertising and marketing industry, the telecommunications industry and the content and creative sector of the IT industry. Graduates are well positioned to entering a wide range of careers in these industries.

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3442 8677

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596
Non-JUPAS Year 1 Admission
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Deadline applicable to all types of Admission
Interview Arrangement - Direct SY

Not required

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

College/School
Subtitle
數據賦能: 學習・突破・成就課程 (特點: 自由選擇學院專業學科 / 一對一專業導師 / 精英學生實習培訓 / 專業導師指導計劃 / 頂尖海外大學交流)
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Default image_flagship
Academic Year of Entry
Admission Code

JS1070

Indicative Intake Target

Local Places:

15 (For First Year Entry; Tentative)*


Non-Local Places  
(For Overall Direct Applications):

Around 400

Normal Duration of Programme
4 years
Programme Leader and Admissions Tutor
Prof Lishuai LI

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

Deputy Programme Leader
Prof Xiao QIAO

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

Remarks

* for JUPAS admissions only

Admission Scheme
Why Department of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)?

Data Science focuses on solving problems and advancing societies using vast amounts of data. Students of JS1070 DELTA will have a free choice of majors (BSc Data Science or BSc Data and Systems Engineering) after one year of study.

Entrance Requirements
JUPAS Applicants

JUPAS Entrance Requirements

JS1070 Data Empowerment: Learn, Transform and Achieve (DELTA) (Features: Free Choice of Major / One-to-One Advisor / Elite Work Placement / Executive Mentor Scheme / Premium Overseas Exchange / Internship Exchange)
HKDSE SubjectMinimum Level Required
English LanguageLevel 3
Chinese LanguageLevel 3
MathematicsLevel 3
Citizenship and Social DevelopmentAttained
Elective 1Level 3
Elective 2Level 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.

Admission Arrangements

Applicants to this programme (admission code: JS1070) 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 School after one year of study.

Curriculum Structure

First-Year Curriculum

First-Year Curriculum

CoursesNo. of Credit Units
General EducationUniversity Requirements• GE1401 University English; and 
• Discipline-specific English; and 
• GE1501 Chinese Civilisation - History & Philosophy
9
School Specified Requirements

School Specified GE courses for normative four-year degree: 

MA1508Calculus
CS2311Computer Programming
SDSC1001Introduction to Data Science

9

 

Distributional Requirements

At least one course from each of the three areas:

Area 1: Arts and Humanities 
Area 2: Study of Societies, Social and Business Organisations 
Area 3: Science and Technology

​12
School Requirement / Major RequirementMA1503 Linear Algebra with Applications4
Major RequirementSDSC2004 Data Visualization3
Total No. of Credit Units:37

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

School of Data Science

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 SDSC provides students with ample opportunities to participate in open-ended projects and realise their dream data science products. Through its extensive industrial partnerships and networks, the SDSC will prepare a new breed of data science professionals to excel in inter-disciplinary and cross-functional collaboration.

What You Will be Studying

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

Mathematics and computer programming in data 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)
Programme Mission

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

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

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

數據科學發展迅速,着重於利用大量從各行業、商業、應用領域收集的數據去解決相關問題及作出改善。學生在第一學年須修讀數學、電腦、數據科學入門等基礎科學科目。在完成第一學年後,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。

Career Prospects

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

Scholarships and Financial Assistance

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

Student Exchange / Internship

The 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.

Flagship Programme

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

Programme Brochure
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+852 3442 7887

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Interview Arrangement - JUPAS

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

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

College/School
Subtitle
數據科學 [主修:理學士 (數據科學) / 理學士 (數據與系統工程)]
Thumbnail
Image
programme default img
Academic Year of Entry
Admission Code

1071 (JS1071)

Indicative Intake Target

Local Places:

20 (For First Year Entry; Tentative)*


Non-Local Places  
(For Overall Direct Applications):

Around 400

Normal Duration of Programme
4 years
Programme Leader and Admissions Tutor
Prof Lishuai LI

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

Deputy Programme Leader
Prof Xiao QIAO

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

Remarks

* for JUPAS and non-JUPAS admissions

Why Department of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)?

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.

Entrance Requirements
JUPAS Applicants

JUPAS Entrance Requirements

JS1071 School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)
HKDSE SubjectMinimum Level Required
English LanguageLevel 3
Chinese LanguageLevel 3
MathematicsLevel 3
Citizenship and Social DevelopmentAttained
Elective 1Level 3
Elective 2Level 3

Notes:  
- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” (at grade E or above) can also be used to meet the elective requirement. If students take both M1 and M2, they are counted as one subject only.  
- Applied Learning subjects are not counted as elective subjects.  
- For details of the alternative Chinese Language qualifications acceptable by the University for Non-Chinese Speaking (NCS) students, please click here.

Direct / Non-JUPAS Applicants

Direct/ Non-JUPAS Applicants Entrance Requirements

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

Admission Arrangements

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.

Curriculum Structure

First-Year Curriculum

First-Year Curriculum

CoursesNo. of Credit Units
General EducationUniversity Requirements• GE1401 University English; and 
• Discipline-specific English; and 
• GE1501 Chinese Civilisation - History & Philosophy
9
School Specified Requirements

School Specified GE courses for normative four-year degree: 

MA1508Calculus
CS2311Computer Programming
SDSC1001Introduction to Data Science

9

 

Distributional Requirements

At least one course from each of the three areas:

Area 1: Arts and Humanities 
Area 2: Study of Societies, Social and Business Organisations 
Area 3: Science and Technology

​12
School Requirement / Major RequirementMA1503 Linear Algebra with Applications4
Major RequirementSDSC2004 Data Visualization3
Total No. of Credit Units:37

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

Department of Data Science

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.

What You Will be Studying

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

Mathematics and computer programming in data 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)
Programme Mission

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

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

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

Career Prospects

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

Scholarships and Financial Assistance

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

Student Exchange / Internship

The 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.

Programme Brochure
Contact Type
Phone
Contact Value

+852 3442 7887

Contact Type
Email
Contact Value
Admission Year
Programe A-Z
author_college
Title (For sorting)
256
Programme Calculation Method
3 Core + 2 Elective Subjects
Non-JUPAS Year 1 Admission
Non-JUPAS Senior Year Admission
International Admission
Mainland Non-Gaokao Admission
Deadline applicable to all types of Admission
Historical Data
Interview Arrangement - Direct Yr1

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

Interview Arrangement - JUPAS

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

Late Application (Deadline applicable to all types)
Off
Late Application (International Admission)
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)
Historical Data Display
On
Reduce the font size?
Off