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The MASEF is a research master program in applied mathematics, specialized in the fields of finance and economics. It is a second year Master track of the Graduate Program in Mathematics of Paris Sciences et Lettres, co-authored by Université Paris-Dauphine, ENS, Ecole des Mines, Ehess, and the Observatoire de Paris.

It is part of PSL University’s Graduate Program in Mathematics, thus benefiting from an exceptional environment for mathematics (Dauphine and ENS are both ranked in the top 30 in the Shanghai ranking, PSL is ranked 14th in the QS 2020 ranking in mathematics).

Courses are taught in English for international students.

Scholarships for students who want to follow the Master by a PhD are avalaible (contact).

Objectives

The MASEF trains high-level probabilists and mathematicians in mathematical techniques used in risk management and economics.
The balance between core courses (stochastic processes, advanced statistics, mathematical finance, game theory), more applied courses, and thematic cycles ensures that students receive an advanced training, oriented towards academic research or to positions with a strong quantitative component in the industry, in particular in banks (structuring, trading, risk control, etc.).

Organization of training

The training includes a core curriculum. Options are grouped into three blocks (Stochastic Process and Numerical Methods, Economy and Games, Finance and Risk Management).
Students who wish to become acquainted with academic research may opt for the “Individual Project” option: the execution of a research work supervised by a researcher replaces two optional courses.
The training includes a mandatory internship of at least four months in a company or in a research laboratory.

Admission Requirements

Master 1 of Pure Mathematics, Applied Mathematics or Grandes Ecoles Scientifiques. Selection is made on academic file. National university tariffs are applied. To apply, click here .

 

Keywords

  • Discipline: Mathematical Finance, Probability, Random Modeling, Processes and Stochastic Control,  Statistics of Processes and Econometrics, Numerical Probabilities, Game Theory.

  • Scope: Market finance, quant, trading, risk control, quantitative portfolio management, alternative management, insurance, …