JS1073 - BEng Data and Systems Engineering | Undergraduate Admissions

BEng Data and Systems Engineering

工學士(數據與系統工程)

Year of Entry	2020
Mode of Funding	Government funded
Admission Code	JS1073 BEng Data and Systems Engineering
Mode of Study	Full time
Tuition Fee	Click here for more information
Major Leader and Admissions Tutor	Dr ZHANG Zijun BEng(CUHK), MS(UIowa), PhD(UIowa)
General Enquiries	+852 3442 7887 sdscgo@cityu.edu.hk

Programme Outlines

Programme Brochure

Programme Video

What You Will Be Studying

Offering a solid foundation in data science and intelligent systems, the BEng 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. The targets of management and improvement may be an enterprise’s strategies, operations and supply chain, or its products and services. BEng 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 three flexible modules of advanced knowledge:
a) Systems Analytics
b) Internet of Things (IoT)
c) Smart City

工學士(數據與系統工程)：課程注重建立學生的數據管理思維以致實際應用技能，培養學生成為數據分析、整合、決策和應用的專業人才。教學上涵蓋數據開發和研究、人工智能及電腦應用及物流專題。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、分析和管理的實踐能力。本課程涵蓋以下三個選修範疇：

系統分析
物聯網
智慧城市

Entrance Requirements for JUPAS Applicants

JUPAS Catalogue No. and Title	Minimum Level Required
	Eng. Lang.	Chi. Lang.	Mathematics	Liberal Studies	Elective Subjects^Notes
					Elective 1	Elective 2
JS1073 BEng Data and Systems Engineering	Level 3	Level 3	Level 3	Level 2	Level 3	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 visit http://www.admo.cityu.edu.hk/jupas/entreq/bd.

First-Year Curriculum

2020-21
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

9

School Specified Requirements

School Specified GE courses for normative four-year degree:

MA1508	Calculus
CS2311	Computer Programming
SDSC1001	Introduction 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 Requirement

Any 1-2 courses listed within the School Requirement / Major Requirement

3-6

Total No. of Credit Units:

33-36

For details of the curriculum structure, please refer to the School website at https://www.cityu.edu.hk/sdsc/programmes/undergraduate-programmes.

Scholarships and Financial Assistance

Scholarships are available, please refer to the details at http://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 BEng 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 Recognition

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.

Useful Links

Undergraduate Catalogue (The catalogue for the 2019 cohort is for reference only. The 2020 catalogue will be published around July 2020.)
School of Data Science