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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.
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme Aim
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.
Admission Requirements
80+
6+
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
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Science in Quantitative Finance and FinTech
Hung Hom, Kowloon, Hong Kong, HK, Hong Kong, Hong Kong SAR
# 66QS Subject Rankings
18 monthsProgramme duration
MathematicsMain Subject Area
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme Aim
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.
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme Aim
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.
Admission Requirements
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.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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