Master 2 MMMEF - Curriculum

 Students involved in the Master 2 MMMEF program have their academic year divided into two parts:
  • a first part (two trimesters) with courses: fundamental courses, specialization, and advanced courses,
  • a second part during which students either do an internship or carry out academic research and write a Master's thesis.
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Each student is admitted to the Master's program to follow one of the four tracks:
  • Economic Theory and Applications,
  • Economics, Finance and Games,
  • Quantitative Finance,
  • Optimization and Data Science.

As far as courses are concerned, students need to validate:
  • 20 ECTS in the list of fundamental courses (UE1),
  • 20 ECTS in the list of specialization and advanced courses (UE2).

Compulsory courses:
  • Students enrolled in the "Economic Theory and Applications" track have to take 7.5 ECTS among the following courses: General equilibrium theory 1 and 2, Game theory 1 and 2, and Decision making: foundations
  • Students enrolled in the "Economics, Finance and Games" have to take the course Introductory finance and either General equilibrium theory 1 and 2 or Game theory 1 and 2.
  • Students enrolled in the "Quantitative Finance" have to take the following compulsory courses: Stochastic Calculus 1, Arbitrage theory, Introductory finance, and Stochastic Calculus 2.
  • Students enrolled in the "Optimization and Data Science" track have to take the following compulsory courses: Combinatorial optimization, Numerical methods in optimization, Statistical Learning, and Convex analysis and optimization.

The choice of courses need to be approved by the supervisor of the student's track.

List of courses

Each course represents 2.5 ECTS unless otherwise indicated.

Fundamental courses (UE1)

  • Stochastic calculus 1 (5 ECTS)
  • Arbitrage theory
  • Market risk measure
  • Introduction to finance
  • Financial time series analysis
  • Python for optimization and Finance​
  • Combinatorial optimization
  • Numerical methods in optimization (5 ECTS)
  • Convex analysis and optimization
  • Decision making: foundations
  • Decision under uncertainty
  • Information, design et markets (5 ECTS)​
  • General equilibrium theory 1 and 2 (5 ECTS)
  • Game theory 1 and 2 (5 ECTS)
  • ​Statistical learning
  • Computer training: C++​​
Students can also choose one course taught in another Master programme (e.g. M2 IRFA, M2 APE, M2 TIDE, etc.) with the agreement of their supervisor.

Specialization and advanced courses (UE2)

  • Stochastic calculus 2 (5 ECTS)​
  • Yield curve models​
  • Interdisciplinary finance
  • Calibration in quantitative finance
  • Malliavin calculus and Monte Carlo methods
  • Algorithmic trading​
  • ​Microeconomics of insurance
  • Optimal control
  • Advanced combinatorial optimization
  • Topics in machine learning A​ 
  • Topics in machine learning B
  • Advanced decision and modelling
  • Network models and applications
  • Multi-agent systems
  • ​​Advanced game theory​
  • Cooperative games
  • Rationality and strategy in economics and politics
  • Information, finance and game theory
  • Equilibrium, fixed-points and computations
  • Computational models for socio-economic interaction
The students can also choose one course taught in another Master programme (e.g. M2 IRFA, M2 APE, M2 TIDE, etc.)