MSc in Quantitative Finance and FinTech 18 months Postgraduate Programme By The Hong Kong Polytechnic University |TopUniversities

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Admission Requirements

6+
80+

Bachelor’s degree with honours 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.

1.5 Years
Sep

Tuition fees

Domestic
37,543 USD
International
37,543 USD

Scholarships

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