PhD in Mathematics

The doctoral program in mathematics (3rd cycle) is part of a dynamic framework of advanced scientific research and disciplinary specialization, while also addressing the growing need for mathematical expertise in academic, industrial, and socio-economic sectors. It is based on a solid foundational training, complemented by in-depth specialization in one of the five proposed fields:

- Partial Differential Equations (PDEs) and Applications, focused on the qualitative and numerical analysis of phenomena modeled by PDEs in engineering, physics, or biology;

- Applied Mathematics, which covers a wide range of mathematical tools used to tackle real-world problems;

- Modeling and Numerical Analysis, which emphasizes the development of efficient and rigorous numerical methods for the simulation of complex systems;

- Applied Statistics, dedicated to data analysis in various contexts (social sciences, industry, environment, health);

- Probability and Statistics, which centers on modeling randomness, stochastic processes, and statistical inference.

This program aims to train PhD graduates capable of conducting innovative, rigorous, and interdisciplinary research, while developing cross-disciplinary skills in modeling, data analysis, simulation, and scientific communication. It prepares students for careers in higher education, research, statistical consulting, industrial modeling, or data science.