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)
JS1221
Local Places:
10 (For First Year Entry; Tentative)
BEng McGill, MSc PhD Carnegie Mellon
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 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 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 |
GE2410 English for Engineering or GE2402 English for Business Communication
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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 |
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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 | | |
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.
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