Master of Science in Quantitative Finance and FinTech

Entrance Year Sept 2024
Programme Code 63029
Stream Code
QFM (Full-time)
QPM (Part-time)
Mode of Study Mixed Mode
Normal Duration
1.5 years (Full-time)
3 years (Part-time)
Fund Type Self-Financed
Credits Required for Graduation
30
Initial Registration Credits
3 for local students
9 for non-local students
Local Application Deadline 30 Apr 2024
Non-Local Application Deadline 30 Apr 2024
Tuition Fees
HK$12,000 per credit for local and non-local students (Subject to approval)
Programme Leaders
Programme Leader Deputy Programme Leader Assistant Programme Leader
Prof. Dai Min
BSc, MSc, MPhil, PhD
Dr Yu Xiang
BSc, PhD
Dr Jiang Zhaoli
BSc, PhD
Remarks
Non-local applicants must be registered as full-time students.
Aims and Characteristics
Programme Aims
As one of the leading international financial centres, Hong Kong is the home for many financial institutions and a gateway for the country to the world. To provide innovative and stable financial services in the face of more complex financial markets, advanced knowledge in mathematics, statistics, finance, and programming are imminently required. This programme aims to provide in-depth coursework-based training in quantitative and analytical methods, modeling techniques, financial concepts and programming skills that allow the graduates to steer the decision making professionally and competitively under different market environment. In addition, this programme also targets at solid training of students on a variety of new skills and techniques demanded by the new era of financial technology including artificial intelligence, blockchain, cloud computing and big data. Our graduates will become leading professionals in the financial industry and related fields and will be competent in applying the advanced quantitative methods and latest techniques in financial innovation and development of financial technology.
Characteristics
The programme is hosted by the Department of Applied Mathematics and supported by the School of Accounting and Finance, meeting the multi-disciplinary nature of quantitative finance and financial technology. All courses are taught by leading experts in quantitative finance, data analytics, risk management and machine learning. The programme will equip graduates with solid knowledge in quantitative methods and proficient skills in programming. The programme also provides professional and career training to help students to apply principles and methodologies in formulating and solving real-life problems in financial services and financial technology.
Enquiry
- TU732, Block T, PolyU
- (852) 2766 6947