Target level
Master degree level
Component
Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)
Language(s)
English
Presentation
The program provides excellent training in many different areas of applied mathematics developed in the laboratory of Mathematics and Applications of Pau:
- MMS Program: PDE (partial differential equation) analysis, numerical analysis, scientific computing, high performance computing, optimization.
- MSID Program: statistical analysis, decision computer science, computer modeling and associated computer tools.
- GREEN Graduate Program - Mathematics, Modeling and Applications to Energy and Environment (M2A2E)
Program
Select a program
M2 Mathematics, Modeling and Simulation (MMS)
Apply here from October to March
The program offers up-to-date knowledge in areas of applied mathematics related to modeling with partial differential equations.
M2 Stochastic tools and Computational Methods for Decision (MSID)
Apply here from October to March
This program offers advanced-level courses in statistical analysis, decision computer science, computer modeling, and associated computer tools.
GREEN Graduate Program - Mathematics, Modeling and Applications to Energy and Environment (M2A2E)
In 2022, the University of Pau and Pays de l'Adour opened a 5-year Master’s degree + PhD program of excellence in a variety of disciplines linked to energy and environmental research, the GRaduate School for Energy and Environmental iNnovation (GREEN).
Every student accepted into the program will be offered a €5,000 stipend per year for the first two years.
Apply here from October to March
N.B. Our Master's programs may not open if enrollment is too low.
The Mathematics, Modeling, and Applications to Energy and Environnement research graduate program aims to form experts with up-to-date knowledge of advanced skills in Applied Mathematics, Statistical and Machine Learning Methods, and Scientific Computing to elaborate, analyze, and simulate mathematical models arising from issues and predicted impacts in energy and environment.
Several key challenges are addressed in this program, such as:
- Elaboration of complex and accurate mathematical models arising in energy and environment,
- Optimization, combination, and implementation of advanced simulation methods associated with computer tools.
This degree offers multidisciplinary key courses to achieve an advanced specialist level in all areas involving mathematical modeling (deterministic and stochastic) and numerical simulation. It is suited for students planning both an academic or an industrial career and provides the theoretical basis and the practical expertise required to pursue academic research or R&D structures.
The program is carried out in close collaboration with the LMAP - Laboratory of Mathematics and its Applications in Pau.