Applied Mathematics

Explore the programs and courses offered by Applied Mathematics

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Program Overview

This master's program encompasses three main areas: functional and numerical analysis, optimization (mathematical optimization), and probability and statistics.

Here, students acquire fundamental concepts in advanced mathematics that are essential for preparing for a PhD.

This master's program offers high-level training in mathematics, focusing on the modeling and simulation of complex phenomena, the analysis and computation of large systems arising from physics and engineering sciences, as well as the analysis and simulation of randomness.

The program aims to enable students to acquire:

• In-depth knowledge in the field of applied mathematics.

• Algorithmic thinking and proficiency in computational tools, allowing them to conduct numerical simulations or propose mathematical conjectures on certain problems.

• Analytical tools for studying mathematical models derived from various research fields.

• The knowledge and skills necessary to initiate research in one of the areas of applied mathematics.

Teaching Language : english

Curriculum Highlights

Core Courses

Functional Analysis

Optimization

Probability and Statistics

Integral Equations

Numerical Methods

Spectral Theory

Stochastic Differential Equations

Constrained Optimization

Advanced Topics

Matrix Analysis

Distributions

Modeling

Numerical Analysis of Partial Differential Equations

Educational Psychology

Technical English

Writing Methodology

Free Software

Admissions Information