12 monthsProgramme duration
243 EURTuition Fee/year
Jan, SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Quantitative Finance
The global financial crisis of 2008-09 led to a simplification of financial derivatives, along with an increasing weight of the regulation (FRTB, MiFID, interest rate reform, Solvency II on the insurance side,...). Data and their analysis are every day more at the core of all systems. This poses unprecedented computational challenges, which can only be addressed by combining the resources of distributed, cloud, and GPU computing. Finally, today's quantitative finance is every day more diverse: investment banking, but also buy-side (hedge funds), finance of insurance, fintech, etc.
In line with these evolutions, M2QF brings to high level scientific students an invaluable expertise in the field of quantitative finance, considered from the double point of view of mathematics (probability and statistics, computational methods) and data science. Job opportunities after the master program: quantitative analyst, risk manager, IT quant, insurance, data scientist for finance, PhD thesis in quantitative finance,...
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
The global financial crisis of 2008-09 led to a simplification of financial derivatives, along with an increasing weight of the regulation (FRTB, MiFID, interest rate reform, Solvency II on the insurance side,...). Data and their analysis are every day more at the core of all systems. This poses unprecedented computational challenges, which can only be addressed by combining the resources of distributed, cloud, and GPU computing. Finally, today's quantitative finance is every day more diverse: investment banking, but also buy-side (hedge funds), finance of insurance, fintech, etc.
In line with these evolutions, M2QF brings to high level scientific students an invaluable expertise in the field of quantitative finance, considered from the double point of view of mathematics (probability and statistics, computational methods) and data science. Job opportunities after the master program: quantitative analyst, risk manager, IT quant, insurance, data scientist for finance, PhD thesis in quantitative finance,...
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Quantitative Finance
The global financial crisis of 2008-09 led to a simplification of financial derivatives, along with an increasing weight of the regulation (FRTB, MiFID, interest rate reform, Solvency II on the insurance side,...). Data and their analysis are every day more at the core of all systems. This poses unprecedented computational challenges, which can only be addressed by combining the resources of distributed, cloud, and GPU computing. Finally, today's quantitative finance is every day more diverse: investment banking, but also buy-side (hedge funds), finance of insurance, fintech, etc.
In line with these evolutions, M2QF brings to high level scientific students an invaluable expertise in the field of quantitative finance, considered from the double point of view of mathematics (probability and statistics, computational methods) and data science. Job opportunities after the master program: quantitative analyst, risk manager, IT quant, insurance, data scientist for finance, PhD thesis in quantitative finance,...
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
The global financial crisis of 2008-09 led to a simplification of financial derivatives, along with an increasing weight of the regulation (FRTB, MiFID, interest rate reform, Solvency II on the insurance side,...). Data and their analysis are every day more at the core of all systems. This poses unprecedented computational challenges, which can only be addressed by combining the resources of distributed, cloud, and GPU computing. Finally, today's quantitative finance is every day more diverse: investment banking, but also buy-side (hedge funds), finance of insurance, fintech, etc.
In line with these evolutions, M2QF brings to high level scientific students an invaluable expertise in the field of quantitative finance, considered from the double point of view of mathematics (probability and statistics, computational methods) and data science. Job opportunities after the master program: quantitative analyst, risk manager, IT quant, insurance, data scientist for finance, PhD thesis in quantitative finance,...
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Admission Requirements
72+
5.5+
Compulsory supporting documents
Additional supporting documents
- Motivation letter.
- All transcripts of the years / semesters validated since the high school diploma at the date of application.
- Curriculum Vitae.
Additional supporting documents
- VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
1 Year
Jan
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
243 EUR
International
243 EUR
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