The Master 2 SMC trains specialists in numerical simulation and artificial intelligence applied to materials science. The program combines theoretical courses, supervised projects, and a long-term internship, providing solid academic and professional experience. With international partnerships with Rome and Athens, it prepares students for careers in research, high-tech industry, and materials data science.
The M2 in Computational Materials Science program offers highly specialized training focused on simulation and the application of artificial intelligence in various fields of materials science. In particular, students will learn the main methods and algorithms of Machine Learning and High-Performance Computing, integrated with traditional simulation methods for materials. A long-term internship provides substantial academic or industrial experience in the field, and an international dimension is offered through elective courses available in the programs of the Universities of Rome and Athens.
Information
Skills
The scientific knowledge developed in the program includes:
- Materials simulation methods (atomistic, mesoscopic, and macroscopic).
- Machine Learning and Artificial Intelligence applied to materials science.
- High-Performance Computing (HPC) and parallel programming.
- Advanced numerical algorithms for modeling.
- Physics and chemistry of materials.
- Big Data analysis and processing.
- Mathematical and statistical tools for modeling and prediction.
- Multi-scale and multi-physics approaches in simulation.
- Industrial and academic applications of simulations and AI.
Objectives
Program Objectives
- Train specialists capable of mastering materials simulation methods at different scales (atomistic, mesoscopic, and macroscopic).
- Develop advanced expertise in Artificial Intelligence and Machine Learning applied to materials science.
- Acquire solid skills in High-Performance Computing (HPC) and parallel programming for the simulation and analysis of complex systems.
- Learn to design and implement advanced numerical algorithms for modeling and predicting material properties.
- Strengthen fundamental knowledge in the physics and chemistry of materials.
- Master Big Data analysis and processing in both scientific and industrial contexts.
- Develop the ability to integrate multi-scale and multi-physics approaches for a comprehensive understanding of materials.
- Promote an international perspective through courses offered in collaboration with the Universities of Rome and Athens.
- Prepare students for academic or industrial careers through a long-term internship providing strong practical experience.
Career Opportunities
Career prospects
Après un Master ou Master + Doctorat : ingénieur (R&D, contrôle, production…)
Après un Master ou Master + Doctorat : chercheur ou enseignant-chercheur
Après un Master ou Master + Doctorat : ingénieur (recherche-développement, contrôle, production…) dans les domaines santé, pharmacie, agroalimentaire, biotechnologies, instruments et réactifs, cosmétique, dépollution et environnement
Après Master + Doctorat : chercheur ou enseignant-chercheur
Après un Master ou Master + Doctorat : ingénieur (recherche et développement, contrôle, production…)
Ingenieur R&D
Responsable de projets R&D
Responsable de projets R et D
Chef de projet
Consultant
Ingénieur d’études dans les domaines de l’industrie
Ingénieur d’études dans les domaines de la recherche
Enseignants-chercheurs
Enseignant.es dans le secondaire
Ingénieur de recherche ou d'études
enseignant.e-chercheur.se (après un doctorat)
Ingénieur de recherche
Éthicien des technologies et de l’intelligence artificielle (dans les entreprises du numérique, start-ups spécialisées)
Further Study Opportunities
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
Doctorat
Doctorat en Chimie / Biologie
domaines de l’apprentissage statistique, de l’intelligence artificielle ou de l’analyse de données avancée
Ingénierie études, recherche et développement
Les étudiants titulaires d’un M2 ont la possibilité de poursuivre dans la recherche en doctorat
ngénierie études, recherche et développement
Thèse de doctorat
Fees and scholarships
The amounts may vary depending on the programme and your personal circumstances.
Admission Route
Capacity
Available Places
Target Audience and Entry Requirements
The Master 2 SMC program is intended for students in initial or continuing education who wish to acquire high-level expertise in numerical simulation and artificial intelligence applied to materials science. It is particularly suited for:
- Students holding a Master 1 in physics, chemistry, materials science, applied mathematics, or computer science.
- Engineers seeking to specialize in numerical approaches and AI for materials.
- Students planning to pursue a PhD in the fields of modeling, scientific computing, or applied AI.
Prerequisites:
- Solid background in physics and/or chemistry of materials.
- Fundamental knowledge in applied mathematics and numerical methods.
- Basic skills in scientific programming (Python, C/C++, or equivalent).
- Interest in high-performance computing and big data analysis.
- A good level of scientific English is recommended for following international courses.the
Application Period(s)
From 15/03/2026 to 15/04/2026
Supporting documents
Compulsory supporting documents
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum Vitae.
Additional supporting documents
Certificate of French (compulsory for non-French speakers).
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.