min_dse_lvl
4 // 4|B2|N3

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)

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)
Thumbnail
Image
programme default img
Academic Year of Entry
Admission Code

JS1221

Indicative Intake Target

Local Places:

10 (For First Year Entry; Tentative)

Normal Duration of Programme
5 years
Programme Leader
Prof .Howard LEUNG (Department of Computer Science)

BEng McGill, MSc PhD Carnegie Mellon

Admission Scheme
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 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

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

 

 

 
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.

Programme Video
Programme Brochure
Contact Type
Phone
Contact Value

+852 3442 8580

Contact Type
Fax
Contact Value

+852 3442 0503

Contact Type
Email
Contact Value
Admission Year
Programe A-Z
author_college
Title (For sorting)
424
Programme Calculation Method
Best 5 Subjects
Non-JUPAS Year 1 Admission
Non-JUPAS Senior Year Admission
International Admission
Mainland Non-Gaokao Admission
Deadline applicable to all types of Admission
Historical Data
Interview Arrangement - JUPAS

When necessary

Late Application (Deadline applicable to all types)
Off
Late Application (International Admission)
Off
Late Application (Mainland Non-Gaokao Admission)
Off
Late Application (Non-JUPAS Senior Year Admission)
Off
Late Application (Non-JUPAS Year 1 Admission)
Off
Maths Core / M1 / M2 Calculation as one Subject
Off
Minimum Entrance Requirement (Core)
Historical Data Display
On
Reduce the font size?
On

BSc Computational Finance and Financial Technology (Streams: Computational Finance / Financial Technology)

College/School
Subtitle
理學士(計算金融及金融科技) (專修: 計算金融 / 金融科技)
Thumbnail
Image
programme default img
Academic Year of Entry
Admission Code

1000 (JS1000)

Indicative Intake Target

Local Places:

10 (For First-Year Entry; Tentative)*


Non-Local Places 
(For Overall Direct Applications):

Around 400

Normal Duration of Programme
4 years
Programme Leader
Prof LI Tao

BSc Fudan U.(PRC), PhD Washington U. in St. Louis (USA)

Deputy Programme Leader
Prof HE Jingyu

BSc University of Science and Technology of China (PRC) MSc, MBA, PhD The University of Chicago (USA)

Deputy Programme Leader and Stream Advisor - Financial Technology Stream
Prof KWON Juhee

BSc Kyungpook National University (KOR), MSc Carnegie Mellon University (USA), PhD Purdue University (USA)

Remarks

* for JUPAS and non-JUPAS admissions

Why BSc Computational Finance and Financial Technology?

The BSc Computational Finance and Financial Technology major has two streams, namely (1) Computational Finance Stream and (2) Financial Technology Stream.  

Computational Finance stream is an interdisciplinary stream offering a comprehensive curriculum that covers state-of-the-art training in finance, mathematics, statistics and computer programming. The integrated application of these four areas is in great demand by today’s financial markets. 

Financial Technology stream gives students an interdisciplinary education in business, information technology, and innovation by training them in mathematics, statistics, programming, information systems, and finance. The FinTech core courses include blockchain, big data, cybersecurity, regulatory technology (RegTech), Python programming, machine learning, technology entrepreneurship, and Fintech capstone project. 

Students from both Computational Finance and Financial Technology streams can apply for admission to the Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University. Upon completion of this joint degree program, students will receive the dual awards conferred by Columbia University and CityUHK.

 

計算金融及金融科技理學士課程內有兩個主修專業,它們是 (1) 計算金融及 (2)金融科技。

計算金融專業是一門跨學科和多元化的課程,內容涵蓋金融學、電腦程式設計、數學和統計學,這四個領域的綜合應用對當今金融市場的金融決策至關重要。課程專門為對定量程式設計有濃厚興趣和致力研習金融分析技巧的學生而設,為學生提供最優質的訓練。課程更可提高學生的競爭力,讓他們日後在金融行業中脫穎而出。

金融科技專業通過對數學、統計學、電腦程式設計、資訊系統學和金融學方面的培訓,為學生提供商業和創新科技的跨學科教育。 FinTech核心科目包括區塊鏈,大數據,網絡安全,監管技術(RegTech),Python編程,機器學習,技術創業和Fintech重點專題項目等等。

修讀計算金融及金融科技學專業的學生可申請修讀香港城市大學-美國哥倫比亞大學雙聯學士學位課程。學生在完成雙聯學士學位課程後,畢業時將分別獲得兩所大學所頒發的學士學位。

Why BSc Computational Finance and Financial Technology at CityUHK College of Business?

BSc Computational Finance and Financial Technology programme offers you:

1. Knowledge in finance, mathematics, statistics, computer programming

2. Exciting career options in quant, investment banks, asset management, algo trading

Plenty opportunities available for local and overseas competitions and internships, and full support on career development.

Overseas exchange and summer programmes are available in over 200 partner universities around the globe! (https://www.cb.cityu.edu.hk/ug/admissions/exchange)

Entrance scholarships up to HK$265,000 are available for elite students (https://www.cb.cityu.edu.hk/ug/admissions/apply/scholarships)

College of Business is among the top four business schools in Asia (https://www.cb.cityu.edu.hk/About-the-College/Accreditation-and-Rankings/International-Rankings)

Entrance Requirements
JUPAS Applicants

JUPAS Entrance Requirements

JS1000 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
Elective 2Level 3

Notes:   
- Besides Category A elective subjects, Mathematics extended modules (M1/M2) and “other languages” 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 and have a strong mathematical background.

Curriculum Structure

Please visit the website for the detailed curriculum.

Career Prospects

Computational Finance stream provides comprehensive training and internship opportunities to prepare students to establish competitive advantages in financial careers such as asset management, investment banking and risk management, as well as further advanced studies.

Financial Technology stream prepares students for the careers in the emerging FinTech industry and business and technology sectors that require solid technology training and finance domain knowledge as well as further advanced studies.

 

計算金融學專業的畢業生可在金融行業就業,例如在資產管理、金融產品設計、投資銀行和金融風險管理等行業作交易員、風險管理經理等,或繼續升讀碩士或博士課程。

金融科技專業的畢業生可在新興的金融科技行業就業,例如區塊鏈分析師、監管技術顧問、金融科技項目經理或繼續升讀碩士或博士課程。

Banner 1

Joint Bachelor's Degree Programme

Students have the opportunity to apply for admission to the Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University (http://gs.columbia.edu/cityu-hk/)


Joint Degree

 

Scholarships and Financial Assistance

The University identifies high calibre students with outstanding academic and/or non-academic achievement for the entrance scholarships upon successful admission. Click here for more details.

Co-curricular Activities and Learning Support

Overseas Summer Programmes

Students may participate in English immersion courses, which include components such as volunteer placements, homestays and cultural activities in Australia, Canada, New Zealand and the USA. Service Learning participants also provide voluntary services in less developed areas such as the Philippines, Thailand, Mongolia, Sri Lanka and Laos.

Education 1Education 2

 

Website of Current Students

Learn more about BSc Computational Finance and Financial Technology students' curriculum and student activities here.

FAQs
JUPAS FAQ
Q.What are the unique features of this major?
A.

The BSc in Computational Finance and Financial Technology major has 2 streams, namely
(1) Computational Finance Stream and (2) Financial Technology Stream.
Computational Finance stream is an interdisciplinary stream offering a comprehensive curriculum that covers state-of-the-art training in finance, mathematics, statistics, computer programming, and information technology.

Financial Technology stream gives students an interdisciplinary education in business, information technology, and innovation by training them in mathematics, statistics, programming, information systems, and finance.

Students from both Computational Finance and Financial Technology streams can apply for admission to the Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University. Upon completion of this joint degree program, students will receive the dual awards conferred by Columbia University and CityUHK. For details, please visit http://gs.columbia.edu/cityu-hk/

Q.Do I need to attend JUPAS admission interview?
A.Yes, for shortlisted applicants only, an interview will be scheduled around June.
Q.Can I take a minor?
A.Yes, you can customise your own Computational Finance and Financial Technology study plan with your minor of interest (subject to fulfilling the requirements of declaring a minor).
Q.Are there any scholarships available?
A.The College of Business and CityUHK are committed to nurturing elite students to become future business leaders. Various scholarships are available; please refer to the following for details:
- CityUHK Scholarships and Prizes
Non-JUPAS FAQ
Q.What are the unique features of this major?
A.

The BSc in Computational Finance and Financial Technology major has 2 streams, namely
(1) Computational Finance Stream and (2) Financial Technology Stream.

Computational Finance stream is an interdisciplinary stream offering a comprehensive curriculum that covers state-of-the-art training in finance, mathematics, statistics, computer programming, and information technology.

Financial Technology stream gives students an interdisciplinary education in business, information technology, and innovation by training them in mathematics, statistics, programming, information systems, and finance.

Students from both Computational Finance and Financial Technology streams can apply for admission to the Joint Bachelor's Degree Program between City University of Hong Kong and Columbia University. Upon completion of this joint degree program, students will receive the dual awards conferred by Columbia University and CityUHK. For details, please visit http://gs.columbia.edu/cityu-hk/

Q.The non-JUPAS intake is very small, so what is the size of the programme?
A.We expect to have around 25 students. The intakes are JUPAS and non-JUPAS, and include local and non-local students.
Q.What IB scores/GCEAL grades have students been admitted with in the past?
A.We interviewed applicants with IB scores >=33 (including bonus) or with grade A in 3 GCEAL subjects last year. We expect students who receive our offers to have IB scores of at least 33 (including bonus) or 3 subjects at grade A in GCEAL.
Q.Do I need to attend an admission interview?
A.Yes, non-JUPAS applicants must attend ONE interview before they can receive any offer from this programme. The interview is usually arranged in January/February. Another interview will be arranged in June/July for shortlisted candidates who cannot attend the interview in January/February or are shortlisted after the January/February interview.
Q.Do you have any IB subject requirements (e.g. HL for certain subjects)?
A.We do not have any IB subject requirements; however, preference may be given to students who have studied SL/HL Mathematics.
Q.Can I take a minor?
A.Yes, you can customise your own Computational Finance and Financial Technology study plan with your minor of interest (subject to fulfilling the requirements of declaring a minor).
Q.Are there any scholarships available?
A.The College of Business and CityUHK are committed to nurturing elite students to become future business leaders. Various scholarships are available; please refer to the following for details:
- CityUHK Scholarships and Prizes
Programme Video
Programme Brochure
Contact Type
Email
Contact Value
Contact Type
WhatsApp
Contact Value

63317712

Admission Year
Programe A-Z
author_college
Title (For sorting)
100
Programme Calculation Method
3 Core + 2 Elective Subjects
Non-JUPAS Year 1 Admission
Non-JUPAS Senior Year Admission
International Admission
Mainland Non-Gaokao Admission
Deadline applicable to all types of Admission
Historical Data
Interview Arrangement - Direct Yr1

On a selective basis
- November 2024 to July 2025
- Interview video
- English

Interview Arrangement - JUPAS

On a selective basis
- Early/Mid-June 2025
- Interview video
- English

Late Application (Deadline applicable to all types)
Off
Late Application (International Admission)
Off
Late Application (Mainland Non-Gaokao Admission)
Off
Late Application (Non-JUPAS Senior Year Admission)
Off
Late Application (Non-JUPAS Year 1 Admission)
Off
Maths Core / M1 / M2 Calculation as one Subject
Off
Minimum Entrance Requirement (Core)
Historical Data Display
On
Reduce the font size?
Off