The Master 2 SMC program includes internships and supervised projects, which form an essential part of the training:
- Long-term internship in a company or research laboratory:
- Duration: typically 4 to 6 months.
- Objective: provide students with significant practical experience, applying simulation methods, high-performance computing, and artificial intelligence to materials science.
- Supervision: guided by an academic tutor and a professional mentor.
- Supervised laboratory projects:
- Conducted individually or in small groups.
- Allow students to work on concrete research or engineering problems.
- Develop skills in modeling, data analysis, and scientific programming.
- Results are presented through scientific reports and oral defenses.
- Educational objectives:
- Integrate theoretical and methodological knowledge acquired during the program.
- Develop autonomy, scientific rigor, and transversal skills (communication, project management, teamwork).
- Prepare students for PhD studies or entry into the industrial sector.
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.
Informations
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 Master + Doctorat : chercheur ou enseignant-chercheur
Ingénieur d'études industrie / recherche publique
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
Public visé et prérequis
Le Master 2 SMC s’adresse aux étudiants en formation initiale ou continue souhaitant acquérir une expertise de haut niveau en simulation numérique et en intelligence artificielle appliquées à la science des matériaux. Il est particulièrement adapté :
- aux étudiants titulaires d’un Master 1 en physique, chimie, sciences des matériaux, mathématiques appliquées ou informatique ;
- aux ingénieurs souhaitant se spécialiser dans les approches numériques et l’IA pour les matériaux ;
- aux étudiants envisageant une poursuite en doctorat dans les domaines de la modélisation, du calcul scientifique ou de l’IA appliquée.
Prérequis :
- Solides bases en physique et/ou chimie des matériaux.
- Connaissances fondamentales en mathématiques appliquées et en méthodes numériques.
- Compétences de base en programmation scientifique (Python, C/C++ ou équivalent).
- Intérêt pour le calcul haute performance et l’analyse de données massives.
- Un bon niveau d’anglais scientifique est recommandé pour suivre les enseignements internationaux.
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.