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BSc Data and Systems Engineering

College/School
Subtitle
https://www.admo.cityu.edu.hk/programme/1718A/#:~:text=and%20Systems%20Engineering-,%E7%90%86%E5%AD%B8%E5%A3%AB(%E6%95%B8%E6%93%9A%E8%88%87%E7%B3%BB%E7%B5%B1%E5%B7%A5%E7%A8%8B),-Academic%20Year%20of
Thumbnail
Image
SDSC
Academic Year of Entry
Admission Code

1718A

Indicative Intake Target

20 (For First Year and Advanced Standing I Entries) and
10 (For Senior Year Entry)

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)

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.

HKDSE students may apply for admission to first-year studies in this major (JS1074) or at the School of Data Science (JS1071) and may select this major after one year of study.

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
Programme Video
Contact Type
Email and Phone
Contact Value

+852 3442 7887
sdscgo@cityu.edu.hk

Programe A-Z
author_college
Title (For sorting)
Data and Systems Engineering

BSc Data Science

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

1715A

Indicative Intake Target

30 (For First Year and Advanced Standing I Entries)

Normal Duration of Programme
3 Years (For Advanced Standing I Entry)
Programme Leader and Admissions Tutor
Prof. Xiang ZHOU

PhD – Princeton University, USA

Deputy Programme Leader
Prof. Qingpeng ZHANG

BEng (HUST), MS (Arizona), PhD (Arizona)

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.

HKDSE students may apply for admission to first-year studies in this major (JS1072) or at the School of Data Science (JS1071) and may select this major after one year of study.

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
Programme Video
Contact Type
Email and Phone
Contact Value

+852 3442 7887
sdscgo@cityu.edu.hk

Programe A-Z
author_college
Title (For sorting)
Data Science

BSc Data and Systems Engineering

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

1074 (JS1074)

Indicative Intake Target

20 (For First Year and Advanced Standing I Entries)

Normal Duration of Programme
4 years
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)

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
JUPAS Applicants

JUPAS Entrance Requirements

JUPAS Catalogue No. and Title
Minimum Level Required
Eng. Lang.Chi. Lang.MathematicsCitizenship and Social Development
Elective SubjectsNotes
Elective 1
Elective 2
JS1074 
BSc Data and Systems Engineering
Level 3Level 3Level 3AttainedLevel 3Level 3

Notes: 
- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” (at grade E or above) can also be used to meet the elective requirement. If students take both M1 and M2, they are counted as one subject only.

- Applied Learning subjects are not counted as elective subjects.

- For details of the alternative Chinese Language qualifications acceptable by the University for Non-Chinese Speaking (NCS) students, please click here.

Direct/Non-JUPAS Applicants

Direct/ Non-JUPAS Applicants Entrance Requirements

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

Curriculum Structure

First Year Curriculum

First-Year Curriculum

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

9 - ​12
School Requirement / Major RequirementMA1503 Linear Algebra with Applications4
Major RequirementSDSC2004 Data Visualization3
Total No. of Credit Units:34 - 37

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

What You Will be Studying

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

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

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

Scholarships and Financial Assistance

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

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
Contact Type
Phone
Contact Value

+852 3442 7887

Contact Type
Email
Contact Value
Admission Year
Programe A-Z
author_college
Title (For sorting)
Data and Systems Engineering
Minimum Entrance Requirement (Elective)
Subject Weighting
Programme Calculation Method
3 Core + 2 Elective Subjects
Late Application (Deadline applicable to all types)
Off
Minimum Entrance Requirement (Core)
Maths Core / M1 / M2 Calculation as one Subject
No

BSc Data Science

College/School
Subtitle
理學士(數據科學)
Thumbnail
Image
programme default img
Academic Year of Entry
Admission Code

1072 (JS1072)

Indicative Intake Target

30 (For First Year and Advanced Standing I Entries)

Normal Duration of Programme
4 years
Programme Leader and Admissions Tutor
Prof Xiang ZHOU

PhD – Princeton University, USA

Deputy Programme Leader
Prof Qingpeng ZHANG

BEng (HUST), MS (Arizona), PhD (Arizona)

Why BSc Data Science?

Data Science DEEP

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

  • Artificial  Intelligence (Al)
  • Social Media Analytics
  • Statistical Learning
Entrance Requirements
JUPAS Applicants

JUPAS Entrance Requirements

JUPAS Catalogue No. and Title
Minimum Level Required
Eng. Lang.Chi. Lang.MathematicsCitizenship and Social Development
Elective SubjectsNotes
Elective 1
Elective 2
JS1072 
BSc Data Science
Level 3Level 3Level 3AttainedLevel 3Level 3

Notes: 
- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” (at grade E or above) can also be used to meet the elective requirement. If students take both M1 and M2, they are counted as one subject only.

- Applied Learning subjects are not counted as elective subjects.

- For details of the alternative Chinese Language qualifications acceptable by the University for Non-Chinese Speaking (NCS) students, please click here.

Direct/Non-JUPAS Applicants

Direct/ Non-JUPAS Applicants Entrance Requirements

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

Curriculum Structure

First-Year Curriculum

First-Year Curriculum

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

9 - ​12
School Requirement / Major RequirementMA Linear Algebra with Applications4
Major RequirementSDSC2004 Data Visualization3
Total No. of Credit Units:34 - 37

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 advance 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
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

Scholarships and Financial Assistance

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

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
Contact Type
Phone
Contact Value

+852 3442 7887

Contact Type
Email
Contact Value
Admission Year
Programe A-Z
author_college
Title (For sorting)
Data Science
Minimum Entrance Requirement (Elective)
Subject Weighting
Programme Calculation Method
3 Core + 2 Elective Subjects
Late Application (Deadline applicable to all types)
Off
Minimum Entrance Requirement (Core)
Maths Core / M1 / M2 Calculation as one Subject
No

School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)

College/School
Subtitle
數據科學學院 [選項: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

20 (For First Year Entry)

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)

Why School 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

JUPAS Catalogue No. and Title
Minimum Level Required
Eng. Lang.Chi. Lang.Mathematics

Citizenship and Social Development


 

Elective SubjectsNotes
Elective 1
Elective 2
JS1071 
School of Data Science (options: BSc Data Science, BSc Data and Systems Engineering)
Level 3Level 3Level 3AttainedLevel 3Level 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 School 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

​9-12
School Requirement / Major RequirementMA1503 Linear Algebra with Applications4
Major RequirementSDSC2004 Data Visualization3
Total No. of Credit Units:34 - 37

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

School of Data Science

The School of Data Science (SDSC), 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 SDSC 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。在完成第一年學業後,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 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
Contact Type
Phone
Contact Value

+852 3442 7887

Contact Type
Email
Contact Value
Admission Year
Programe A-Z
author_college
Title (For sorting)
School of Data Science
Minimum Entrance Requirement (Elective)
Subject Weighting
Programme Calculation Method
3 Core + 2 Elective Subjects
Late Application (Deadline applicable to all types)
Off
Interview Arrangement - Direct Yr1

When necessary
- June/July 2024
- Group Interview 
- English

Minimum Entrance Requirement (Core)
Maths Core / M1 / M2 Calculation as one Subject
No
Late Application (Non-JUPAS Year 1 Admission)
Off
Late Application (Non-JUPAS Senior Year Admission)
Off
Late Application (International Admission)
Off
Late Application (Mainland Non-Gaokao Admission)
Off