College of Business
College of Computing
Interdisciplinary

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)

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)
JUPAS Admission
programme default img
True
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
Programme Website
Website
https://www.cs.cityu.edu.hk/academic-programmes/double-degree-programme/bsc-com…
Programme Leader
Prof .Howard LEUNG (Department of Computer Science)

BEng McGill, MSc PhD Carnegie Mellon

General Enquiries
Contact Type
Phone
Contact Value

+852 3442 8580

Contact Type
Fax
Contact Value

+852 3442 0503

Contact Type
Email
Contact Value

csadm@cityu.edu.hk 

video-icon1
https://www.youtube.com/watch?v=FISBY9733aQ
Programme Video
pdf-icon1
Programme Brochure
Programme Video
Programme Brochure

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.

 

JUPAS Entrance Requirements

JS1221 BSc Computer Science and BSc Computational Finance and Financial Technology 
HKDSE SubjectMinimum Level Required
English LanguageLevel 3
Chinese LanguageLevel 3
MathematicsLevel 4
Citizenship and Social DevelopmentAttained
Elective 1Level 3 in one elective subject from: 
- Biology 
- Chemistry 
- Information and Communication Technology 
- M1/M2 
- Physics
Elective 2Level 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 for Bachelor of Science in Computer Science and Bachelor of Science in Computational Finance and Financial Technology

Degree RequirementsCredit       
Units 		BSc in Computer ScienceBSc in Computational Finance and Financial Technology 
University Requirements  and Distributional Requirements21
  • 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 courses18College-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 Requirement12
  • 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 Courses9933 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 award150

　

　

 

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.

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.

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.

icon
Apply Now