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Who is the Master of Science in Engineering MNS for?

The Master of Science in Engineering Numerical Solid Mechanics (MNS) is intended for students wishing to develop advanced expertise in numerical simulation applied to solid mechanics, with a rigorous approach combining numerical methods, continuum mechanics, materials modeling, and processes (development, forming, manufacturing).

It is particularly suited for profiles who want to:

understand the physics behind the models (and not just use software),
master the finite element method and advanced numerical methods,
work on realistic cases (non-linearities, couplings, processes, validation),
aim for a career path in R&D (industry) or pursue a PhD.

Eligible Academic Profiles

The Master of Science in Engineering MNS is open to candidates with:

A Master of Science in Engineering 1 (M1) level or equivalent in fields such as:

Mechanics (solids, continuum mechanics, structural analysis),
Engineering Sciences (mechanics / materials specialization),
Mechanical Engineering, Civil Engineering, Industrial Engineering (with a strong modeling/calculation component),
Materials Science (with foundations in mechanics and/or simulation),
Physics or Applied Mathematics, when the curriculum includes a solid foundation in modeling and numerical methods.

Or an engineering degree, including:

mechanics, structures, computation,
materials and processes,
energy, industrial processes with an aptitude for simulation,
numerical engineering, scientific computing.

Applications from French or international programs are reviewed, with strong attention paid to the coherence of the project and the actual level of fundamental knowledge.

Expected Prerequisites

Essential (expected upon entry)

Mechanics / Modeling

Solid foundations in solid mechanics and/or continuum mechanics,
Understanding of stress / strain concepts, equilibria, behaviors.

Mathematics

Linear algebra (matrices, systems, conditioning concepts),
Analysis (differential calculus, integration),
Familiarity with differential equations (ODE and/or PDE) in a modeling context.

Numerical Methods and Reasoning

Initial concepts of numerical methods (discretization, resolution),
Ability to structure reasoning: hypotheses → model → computation → interpretation.

Programming / Scientific Computing

Proficiency in at least one environment: Python, Matlab, C/C++ (or equivalent),
Ability to write clean code, test, document, and analyze results.

Highly Recommended (to be comfortable from the start)

Concepts of the finite element method (even introductory),
Project experience (practical work, mini-project, internship) involving simulation, modeling, or computation,
Ease in reading technical / scientific documentation (articles, reports, advanced courses).

What Makes a Difference in an Application

The jury particularly values applications that demonstrate, with supporting evidence:

an ability to model (clearly define a problem, state hypotheses),
experience (project/internship) where you have interpreted and critically evaluated results (and not just produced figures),
an “engineer-researcher” approach: curiosity, methodology, rigor, traceability,
an explicit interest in topics such as: non-linearities, couplings, materials, processes, model reduction / digital twins, HPC.

A good indicator: you are able to explain what you did, why, and what you would do better in a second version.

Career Transition or Dual Competency Profiles

The Master of Science in Engineering MNS may also be suitable for:

engineering students wishing to strengthen their expertise in simulation and move closer to research,
students or young professionals aiming to upgrade their skills towards computation / R&D careers,
profiles seeking dual expertise: mechanics + numerical methods, or materials/processes + simulation.

For engineering students, the “training through research” approach and the long internship constitute a differentiating asset: ability to step back, formulate a problem, justify modeling choices, and integrate into demanding R&D environments.

Desired Qualities and Motivations

The Master of Science in Engineering MNS is for candidates who demonstrate:

scientific rigor and a taste for reasoning,
autonomy (knowing how to search, test, compare, argue),
ability to work on subjects that require patience (non-linearities, validation, numerical stability),
interest in applied research, simulation, and industrial innovation,
technical communication skills (written/oral): explain a choice, defend a model, make a result understandable.

This Master of Science in Engineering is less suitable if…

To be transparent, the MNS is probably not the best choice if you are looking for:

a program focused solely on the “tool” usage of simulation, without in-depth study of models,
a curriculum with very little mathematics,
an approach without requirements for justification, validation, and critical evaluation of results.

Are you unsure about your eligibility?

If your background is a bit “cross-disciplinary” (for example, heavily focused on materials, or heavily on math/physics), your application may still be relevant if you demonstrate:

coursework or projects in mechanics/simulation,
internship/project experience related to modeling,
a clear motivation for numerical mechanics (and a foundational understanding to keep pace).

Applicant:
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❗️ Applications are open from January to April.