BSc Computer Science and BSc Computational Finance and Financial Technology (Double Degree; Features: Corporate Accounting & Economics / Computational Finance / Advanced Statistics / Modeling & Algorithms / Financial Technologies Software Engineering)

admo02 — Tue, 06 Jun 2023 06:33:12 +0000

BSc Computer Science and BSc Computational Finance and Financial Technology (Double Degree; Features: Corporate Accounting & Economics / Computational Finance / Advanced Statistics / Modeling & Algorithms / Financial Technologies Software Engineering) admo02 Tue, 06/06/2023 - 14:33

College/School

College of Business

College of Computing

Interdisciplinary

Subtitle

理學士(電腦科學)與理學士(計算金融及金融科技) (雙學位; 特點: 企業會計與經濟 / 計算金融 / 高階統計 / 建模與演算法 / 金融科技軟件工程)

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Academic Year of Entry

2025/2026

Admission Code

JS1221

Indicative Intake Target

Local Places:

10 (For First Year Entry; Tentative)

Normal Duration of Programme

5 years

Website

https://www.cs.cityu.edu.hk/academic-programmes/double-degree-programme/bsc-com…

Apply Now (URL)

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

Programme Leader

Prof .Howard LEUNG (Department of Computer Science)

BEng McGill, MSc PhD Carnegie Mellon

Admission Scheme

JUPAS Admission

Why Bachelor of Science in Computer Science and Bachelor of Science in Computational Finance and Financial Technology?

Leveraging Technology in Finance to Transform and Go Beyond

Jointly offered by the Department of Computer Science and the College of Business, the programme aims to educate a new generation of professionals with a unique combination of expertise from the important areas of computer science, computational finance, and financial technology. Finance is one of the pillars supporting the economy of Hong Kong, and the use of computational technologies has become pervasive in different business sectors. With recent significant advances in artificial intelligence (AI) and blockchain technologies and their increasing applications in every aspect of the financial industry, the new programme, which comprises a broad set of courses from the Department of Computer Science and College of Business, will train students with a distinctive and interdisciplinary blend of knowledge across the complete spectrum of computer science/computational finance/financial technology areas, from AI, big data analytics, derivatives pricing, financial econometrics, portfolio management to software engineering.

Career Prospects

The interdisciplinary nature of the programme allows students to enter traditional financial careers, and simultaneously equip students with finance domain knowledge and technology background for opportunities in the emerging fintech industry. Employment opportunities available for graduates include:

Quantitative/Finance/Business Analyst
Cybersecurity Analyst
Artificial Intelligence & Machine Learning Specialist
Data Scientist
Risk & Compliance Specialist
Blockchain Developer

After a few years in the field, graduates can take up a specialist role in any one of the above careers or switch among them. Management role, product/service director and entrepreneurship are advanced available options.

Entrance Requirements

JUPAS Entrance Requirements

JS1221 BSc Computer Science and BSc Computational Finance and Financial Technology
HKDSE Subject	Minimum Level Required
English Language	Level 3
Chinese Language	Level 3
Mathematics	Level 4
Citizenship and Social Development	Attained
Elective 1	Level 3 in one elective subject from: - Biology - Chemistry - Information and Communication Technology - M1/M2 - Physics
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.

Curriculum Structure

Curriculum Structure for Bachelor of Science in Computer Science and Bachelor of Science in Computational Finance and Financial Technology

Degree Requirements	Credit Units	BSc in Computer Science	BSc in Computational Finance and Financial Technology
University Requirements and Distributional Requirements	21	GE1401 University English (3 credit units) Discipline-specific GE English (3 credit units) GE2410 English for Engineering or GE2402 English for Business Communication GE1501 Chinese Civilisation - History and Philosophy (3 credit units) Distributional areas (12 credit units)
College-specified courses	18	College-specified courses of CENG (9 credit units): (MA1200/ MA1300) + (MA1201/ MA1301) + JC2066	College-specified courses of CB (9 credit units): CS2204 (in lieu of CB2240) + CS3334 + MA3525
College/School Requirement	12	CS1302 (3 credit units) Take CB2400 to fulfill the 3 credit units of CENG College Requirement	CB2100 (3 credit units) CB2400 (3 credit units) CB3410 (3 credit units)
Major Required Courses	99	33 credit units (From CS core courses)	30 credit units (From CFFT core courses)
		33 credit units (To serve as Core or Electives for both Majors)
		3 credit units (Choose one course from the CS Elective List)
Minimum number of credit units for the Double Degree award	150

College of Business

The College of Business is one of the premier business schools in Asia, offering a full suite of programmes from BBA, BSc, MBA, MSc, EMBA, DBA to PhD level, as well as specialist executive education courses. We are a culturally diverse faculty with over 200 core members of some 17 nationalities, and teach over 5,000 students each year. We are passionate about teaching and research and are currently ranked #39 worldwide for research. We are continuously expanding our work horizons.

Department of Computer Science

The Department of Computer Science has received worldwide recognition for its outstanding research and pedagogical development.

On the education front, our programmes are designed to meet the most pressing information and communication technology needs of business and industry in Hong Kong. The programme provides a solid foundation in computer science knowledge and introduces students to a wide range of modern technologies, design and development processes, and IT professionalism. Students have the opportunity to undertake a major design and development project in an area such as data science, virtual reality, multimedia, computer vision, cloud computing and information security.

Along with exposure to cutting-edge teaching and learning practices, these experiences are shaping a new generation of professionals capable of developing innovative solutions to challenges in new fields in computer science.

To strive for research excellence, the Department conducts world-class fundamental and applied research. With more than 200 projects in progress, the vital areas covered include artificial intelligence, big data analytics, cloud computing, multimedia computing, computer systems, cyber security, and bioinformatics. Two applied research centres of note are the Centre for Decentralized Trust Computing, and the TFI Applied Research Centre for Advanced Digital Media Technology. A number of laboratories also conduct a wide range of research projects.

The Department maintains state-of-the-art computing facilities, including a private cloud infrastructure to support teaching activities and a high-throughput computing cluster for computationally intensive tasks involved in various research activities.

The Department’s research foci include artificial intelligence, bioinformatics, cloud computing, data science, evolutionary computation and metaheuristics, information security, machine learning, mobile computing, multimedia computing, software engineering, computer vision and graphics. Our staff members have contributed intellectually and professionally to the advancement of these fields.

Our Target

The programme aims to educate a new generation of professionals with a unique combination of expertise from the important areas of computer science, computational finance, and financial technology. Finance is one of the pillars supporting the economy of Hong Kong, and the use of computational technologies has become pervasive in different business sectors. With recent significant advances in artificial intelligence (AI) and blockchain technologies and their increasing applications in every aspect of the financial industry, the programme, which comprises a broad set of courses from the Department of Computer Science and College of Business, will train students with a distinctive and interdisciplinary blend of knowledge across the complete spectrum of computer science/computational finance/financial technology areas, from AI, big data analytics, derivatives pricing, financial econometrics, portfolio management to software engineering.

Useful Links

College of Business
College of Engineering
Department of Computer Science
Hong Kong Institution of Engineers
Undergraduate Catalogue
CityUHK Scholarships for Hong Kong Talents
CityUHK Talents Programme