Sept 2025 Entry
1.5 years (Full-time)
3 years (Part-time)
31
Non-local applicants must be registered as full-time students.
Entry scholarships will be granted to applicants with excellent academic achievements. Please refer here for further details.
What's New
Programme Aims
As a leading international financial centre, Hong Kong is home to many financial institutions and is a gateway to the world. To provide innovative and stable financial services in increasingly complex financial markets, professionals require advanced knowledge in mathematics, statistics, finance and programming. This programme aims to provide in-depth coursework-based training in quantitative and analytical methods, modelling techniques, financial concepts and programming skills that will allow our graduates to professionally and competitively steer decision making under different market conditions. In addition, this programme provides students with solid training in 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 competently apply the advanced quantitative methods and latest techniques that characterise financial innovation and the 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 of the courses are taught by world-leading experts in quantitative finance, data analytics, risk management and machine learning. The programme will equip graduates with solid knowledge of quantitative methods and proficient programming skills. The programme also provides professional and career training to help students to apply principles and methodologies to real-life problems in financial services and financial technology.
Graduates with an MSc in Quantitative Finance and FinTech possess valuable skills such as the modelling, computational and programming skills are in high demand in the finance and technology industries. With the rapid growth of the finance and technology sectors in Hong Kong, the Greater Bay Area and around the world, pursuing this degree can lead to a wide range of exciting career opportunities. Graduates can work as quantitative analysts, financial data analysts, risk managers, financial technology consultants or developers, investment managers, entrepreneurs and more. The programme prepares graduates to succeed in a dynamic and rapidly evolving business environment, making it an excellent investment in one’s future career success.
Programme Structure
Students studying for the MSc award need to complete the following:
- (Option 1) 6 Compulsory Subjects (18 credits) and 4 Elective Subjects (12 credits); OR
- (Option 2) 6 Compulsory Subjects (18 credits), 1 Elective Subject (3 credits) and a Dissertation (9 credits)
There is also a 1-credit compulsory subject, Academic Integrity and Ethics in Business.
Students who opt for the Dissertation should have completed 6 Compulsory Subjects with good academic results. Normally, only students with a GPA 3.0 or above at the end of Semester 2 of their first year will be considered for Option 2.
Core Areas of Study
Compulsory Subjects
- Advanced Topics in High Frequency Trading
- Advanced Topics in Quantitative Finance
- Financial Markets
- Financial Technology
- Investment Science
- Mathematical Models of Derivative Pricing
Academic Integrity and Ethics in Business (1 credit)
Elective Subjects (Subject to revision)
(3 credits each unless specified)
- Accounting for Business Analysis
- Deep Learning
- Fixed-income and Credit Risk
- Forecasting and Applied Time Series Analysis
- Machine Learning and Applications in Finance
- Principles of Data Science
- Statistical Machine Learning
- Dissertation (9 credits)
31
Programme Leader
Dr Yu Xiang
BSc, PhD
Deputy Programme Leader
Dr Jiang Zhaoli
BSc, PhD
Assistant Programme Leader
Dr Fan Jiacheng
BSc, PhD
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A Bachelor’s degree in mathematics, statistics, business, finance, science, computer science, engineering, or the equivalent. Applicants with a Bachelor’s degree in other disciplines and an adequate background in mathematics or IT will also be considered.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admission Requirements" section for details.
For further information, please contact:
Email: msc.qfft@polyu.edu.hk
The Department of Applied Mathematics has partnered with New York University (NYU) to offer a taught postgraduate dual degree programme. Selected interested students will complete their first year of study at PolyU in Hong Kong and subsequently continue their second year of study at NYU in New York City, United States. Upon successful completion of the dual degree programme, students will be awarded two degrees: One from PolyU, stating "Master of Science in Quantitative Finance and FinTech", and another from NYU, stating "Master of Science in Financial Engineering".
3 for local students
9 for non-local students
HK$12,900 per credit for local and non-local students
(Note: There is no tuition charge for the 1-credit Academic Integrity and Ethics subject.)
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