Who is the Master of Science in Engineering MAEA for?
The Master of Science in Engineering Maths in Action (MAEA) is intended for students wishing to develop an advanced mathematical expertise, focused on modeling, numerical simulation, machine learning, and applied research.
It is particularly suited for profiles attracted to complex systems, scientific rigor, and mathematically intensive industrial or research applications.
Eligible Academic Profiles
The Master of Science in Engineering MAEA is open to candidates holding:
- a Master 1 (M1) level or equivalent in:
- mathematics,
- applied mathematics,
- scientific computing,
- physics or related disciplines with a strong mathematical component;
- or an engineering degree, particularly in the fields of:
- applied mathematics,
- industrial engineering,
- mechanics, energy, processes,
- computer science or data science.
Applications from French or foreign educational backgrounds are considered.
Expected Prerequisites
Candidates must have a solid foundation in the following areas:
- mathematical analysis,
- linear algebra,
- probability and statistics,
- differential equations (ordinary and/or partial),
- scientific programming (Python, Matlab, C/C++ or equivalent).
An aptitude for numerical computation, modeling, simulation, and algorithmic methods is essential for success in the program.
Career Transition or Dual Competency Profiles
The Master of Science in Engineering MAEA also welcomes:
- engineering students wishing to strengthen their profile through research training,
- students or professionals seeking upskilling for professions with a strong mathematical dimension,
- profiles aiming for a dual competency in mathematics / engineering / data.
For engineering students, research training is a differentiating asset: it demonstrates the ability to step back, conceptualize, adapt to different contexts (engineering and research), and integrate into demanding R&D environments.
Desired Qualities and Motivations
The jury pays particular attention to:
- motivation for applied mathematics and machine learning,
- the ability to abstract and model complex phenomena,
- scientific rigor and autonomy,
- an interest in applied research, simulation, or industrial innovation.
Pursuing a doctorate or orienting towards R&D roles is often consistent with candidates’ projects, without being mandatory.
❗️ Applications are open from January to April.
Contacts
Academic Director of the Master of Science in Engineering
Administrative contact
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