BSc Data and Systems Engineering (Features: Data Science / FinTech / Industrial AI / Smart City / Internet of Things)

admo02 — Fri, 02 Jun 2023 08:47:13 +0000

BSc Data and Systems Engineering (Features: Data Science / FinTech / Industrial AI / Smart City / Internet of Things) admo02 Fri, 06/02/2023 - 16:47

College/School

College of Computing

Subtitle

理學士(數據與系統工程) (特點: 數據科學 / 金融科技 / 工業人工智能 / 智慧城市 / 物聯網)

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Academic Year of Entry

2025/2026

Admission Code

1074 (JS1074)

Indicative Intake Target

Local Places:

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

Non-Local Places
(For Overall Direct Applications):

Around 400

Normal Duration of Programme

4 years

Website

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

Apply Now (URL)

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

Programme Leader and Admissions Tutor

Prof Lishuai LI

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

Deputy Programme Leader

Prof Clint HO

BSc (UCLA), MSc (U of Oxford), PhD (Imperial College London)

Remarks

* for JUPAS and non-JUPAS admissions

Admission Scheme

JUPAS Admission

Non-JUPAS Year 1 Admission

International Admission

Mainland Non-Gaokao Admission

Why BSc Data and Systems Engineering?

Data Science PLUS

The programme offers solid foundation in data science and intelligent systems, where students will learn to analyse, manage and improve enterprise- class systems using big data. Graduates will be equipped with necessary tools and skills to solve emerging real-world application problems and become big data professionals in the following fields:

? FinTech

? Industrial Al

? Internet of Things (loT)

? Smart City

Entrance Requirements

JUPAS Applicants

JUPAS Entrance Requirements

JS1074 BSc Data and Systems Engineering
HKDSE Subject	Minimum Level Required
English Language	Level 3
Chinese Language	Level 3
Mathematics	Level 3
Citizenship and Social Development	Attained
Elective 1	Level 3
Elective 2	Level 3

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

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

Courses

No. of Credit Units

General Education

University Requirements

? GE1401 University English; and
? Discipline-specific English; and
? GE1501 Chinese Civilisation - History & Philosophy

School Specified Requirements

School Specified GE courses for normative four-year degree:
?

MA1508	Calculus
CS2311	Computer Programming
SDSC1001	Introduction to Data Science

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

School Requirement / Major Requirement

MA1503 Linear Algebra with Applications

Major Requirement

SDSC2004 Data Visualization

Total No. of Credit Units:

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. 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

Career Prospects

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

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

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

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at http://www.jvrhmfr.xyz/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 CityUHK, students will spend a study semester abroad and may transfer the academic credits earned at the host institution to fulfil the graduation requirement.

The 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.

Useful Links

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