Train experts capable of modeling, simulating, and making decisions in complex systems.
The Maths in Action (MAEA) Master of Science in Engineering – Mathematics and Machine Learning for Engineering track – responds to a growing demand from industry and research for profiles mastering both:
- advanced mathematical analysis,
- deterministic and probabilistic modeling,
- numerical methods and high-performance computing,
- machine learning and data science tools.
Faced with the increasing complexity of industrial, environmental, and technological systems, classical approaches are no longer sufficient. Models must now integrate uncertainties, exploit massive data volumes, rely on complex numerical simulators, and leverage high-performance computing architectures.
The MAEA Master of Science in Engineering is positioned precisely at the interface of these challenges.
Program Objectives
The MAEA Master of Science in Engineering aims to train high-level engineers and researchers capable of:
- modeling complex phenomena using differential equations and probabilistic models,
- designing and implementing advanced numerical methods for simulation, optimization, and uncertainty analysis,
- exploiting machine learning and statistical tools for analyzing results from computationally expensive simulators,
- developing efficient algorithms adapted to high-performance computing and parallel architectures,
- combining mathematical rigor with concrete industrial or scientific applications.
The program prepares students both for doctoral studies and for direct entry into demanding R&D teams.
An Original and Distinctive Program
The MAEA Master of Science in Engineering stands out through an approach still rare in the French academic landscape: the close coupling between deterministic methods and stochastic approaches, long taught separately but now inseparable.
This dual expertise enables addressing key challenges such as:
- exploiting complex numerical simulators,
- model reduction (meta-models, response surfaces),
- constrained optimization,
- uncertainty quantification and validation,
- identification of influential parameters in high-dimensional systems.
The Program Director’s Vision
The Master of Science in Engineering at the Interface of Modeling and Artificial Intelligence
“The MAEA Master of Science in Engineering was designed to train the next generation of experts capable of mastering the entire chain: from rigorous mathematical modeling to data-driven decision-making. When dealing with complex systems, a purely deterministic approach is no longer sufficient. We emphasize an essential yet still rare coupling between deterministic methods and stochastic approaches (statistics, Machine Learning). It is this dual expertise, complemented by mastery of high-performance computing, that enables our graduates to become key players in the most demanding R&D teams, in both engineering and research.”
Didier Rullière, Mines Saint-Étienne
A Master of Science in Engineering Grounded in Research and Engineering
The Saint-Étienne track of the MAEA Master of Science in Engineering trains profiles capable of working in:
- applied research,
- industrial R&D departments,
- public or private organizations,
- or within a doctoral program, in France or internationally.
Students are trained by faculty researchers and practitioners, working closely with real-world challenges encountered in cutting-edge sectors.
Strong Career Prospects
The skills developed in the MAEA Master of Science in Engineering are sought after in numerous fields:
- aerospace,
- automotive,
- energy and environment,
- process engineering,
- digital engineering and advanced simulation.
Graduates are prepared to work on challenges related to design, optimization, risk management, and decision support, where mastery of advanced mathematics makes the difference.
❗️ Applications are open from January to April.
Contact
Academic Program Director
Administrative contact
Download
Labels
