BSc Data Science (Features: Data Science / Machine Learning / Data Mining / Big Data Analysis)

admo02 — Fri, 02 Jun 2023 08:35:07 +0000

BSc Data Science (Features: Data Science / Machine Learning / Data Mining / Big Data Analysis) admo02 Fri, 06/02/2023 - 16:35

College/School

College of Computing

Subtitle

理學(xué)士(數(shù)據(jù)科學(xué)) (特點(diǎn): 數(shù)據(jù)科學(xué) / 機(jī)器學(xué)習(xí) / 數(shù)據(jù)挖掘 / 大數(shù)據(jù)分析)

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Academic Year of Entry

2025/2026

Admission Code

1072 (JS1072)

Indicative Intake Target

Local Places:

27 (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 Xiang ZHOU

PhD – Princeton University, USA

Deputy Programme Leader

Prof Yu YANG

PhD - Simon Fraser University

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 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

JS1072 BSc Data Science
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

MA 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

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:

Artificial Intelligence
Social Media Analytics
Statistical Learning

理學(xué)士(數(shù)據(jù)科學(xué))：課程旨在為學(xué)生建立紥實(shí)的數(shù)據(jù)科學(xué)基礎(chǔ)和理論知識，並透過跨學(xué)科的培訓(xùn)，提供如定量知識、統(tǒng)計(jì)學(xué)習(xí)、數(shù)據(jù)挖掘技術(shù)和電腦科學(xué)等課題，幫助學(xué)生融會貫通各領(lǐng)域和產(chǎn)業(yè)的專業(yè)需求，有效地分析和使用大數(shù)據(jù)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(gè)專題讓學(xué)生針對個(gè)人興趣進(jìn)行選修：

人工智能
社交媒體分析
統(tǒng)計(jì)學(xué)習(xí)

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 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 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