Applied Mathematics for Economics and Finance

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Program Overview

The Mathematics Applied to Economics and Finance (MAEF) program is designed to train students in advanced mathematical techniques for modeling, quantitative analysis, and decision-making support in key fields such as economics, finance, banking, and insurance.

In collaboration with economics and management departments, this program also provides students with essential knowledge and tools to understand and analyze complex economic and financial phenomena.

Teaching Language : Frensh

Curriculum Highlights

Core Courses

Functional and Convex Analysis

Differentiable and Non-Differentiable Optimization

Combinatorial Optimization

Differential Equations and Dynamical Systems

Numerical Methods

Advanced Topics

Mathematical Engineering for Economics:

Students acquire skills to apply mathematical modeling and methods in economics, using tools for information processing, optimization, and analysis of economic phenomena such as price formation, competition, and market equilibrium.

Mathematical Engineering for Finance:

Students develop expertise in financial modeling, arbitrage pricing, risk analysis, and decision-making processes. They learn to master financial market models, monitor technological trends, and apply these tools for strategic management and digital transformation within companies.

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Admissions Information

Admission to the Master’s program is open to candidates holding a Bachelor's degree in Mathematics or an equivalent recognized diploma in related fields such as Algebra, Geometry, Topology, Analysis, Probability, or Statistics.

Additional admission requirements:

  • A strong academic record and a satisfactory average grade.
  • Completion of a Bachelor's degree in Academic Mathematics for entry into the first year.


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