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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


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

Programme Leaders

Programme Leader
Prof. Dai Min
BSc, MSc, MPhil, PhD


Deputy Programme Leader
Dr Yu Xiang
BSc, PhD


Assistant Programme Leader
Dr Jiang Zhaoli
BSc, PhD


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.


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.


Ms Elki Wong

Programme Secretary

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