This Master's program "Mathematics and Artificial Intelligence" aims to provide students with a thorough understanding of the theoretical and practical foundations of statistical learning algorithms, and to equip them with the skills necessary for their critical analysis and implementation.
The Master's program "Mathematics and Artificial Intelligence" is jointly offered by the Mathematics Department of Orsay and CentraleSupélec, with support from the Computer Science Department and the SaclAI-school program.
It is structured in three periods (September to early November, early November to mid-January, and mid-January to the end of March). The last part of the year, from early April to the end of September, is dédicated to the internship.
The program offers both mandatory and optional modules. Depending on the modules, classes take place at the mathematics laboratory in Orsay, at CentraleSupélec, or at the computer science laboratory in Paris-Saclay.
Optional modules are designed to allow students to choose their preferred focus, ranging from a more theoretical, mathematics-oriented program to a more applied one.
For more information, please visit the website for this Master's program in Mathematics and Artificial Intelligence.
Information
Skills
To master and implement advanced mathematical tools and methods, particularly in the context of machine learning and AI.
Objectives
Context: Mathematics plays a crucial role in artificial intelligence (AI), particularly in machine learning. Data science, which combines mathematical modeling, statistics, computer science, data visualization, and applications, aims to move beyond simply storing and disseminating information, focusing instead on knowledge creation. This transition from data to knowledge requires an interdisciplinary approach that relies heavily on statistical data processing (mathematical statistics, computational statistics, and machine learning).
The increasing complexity of data necessitates the use of new tools from various branches of mathematics (functional analysis, numerical analysis, convex and non-convex optimization), which students must learn to understand and apply.
Objectives: This program enables students to master the mathematical concepts and techniques that underlie machine learning, while also providing them with strong computer skills for developing projects in machine learning, data science, and AI. The "Mathematics for Artificial Intelligence" Master's program has a dual objective:
• to enable students with a broad understanding of a wide range of mathematical tools, methods, and learning algorithms, through courses covering all areas of mathematics and its interfaces with computer science and artificial intelligence.
• To allow students to experience research in mathematics and its applications to artificial intelligence. This includes tackling open-ended research problems, participating in research internships, and completing mini-projects as part of their coursework.
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 un Master ou Master + Doctorat : ingénieur (recherche et développement, contrôle, production…)
Après un Master : Ingénieur (analyste financier, économiste, statisticien)
Après un Master : Data scientist
Après un Master : Spécialiste en intelligence artificielle (IA)
Après un master : Chargé(e) d’études
ingénieur étude conception
Ingénieur d'études industrie / recherche publique
Ingénieur.e recherche & développement
Enseignant.es dans le secondaire
Further Study Opportunities
Chercheur/chercheuse en R&D ou expert·e en modélisation et analyse de données dans des entreprises ou laboratoires de pointe.
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
Doctorat
domaines de l’apprentissage statistique, de l’intelligence artificielle ou de l’analyse de données avancée
Ingénierie études, recherche et développement
la formation permet également aux étudiants d’intégrer directement le monde de l’entreprise à l’issue du diplôme, dans des postes tels que Data Scientist, Data Analyst ou Ingénieur Machine Learning
Les étudiants de cette mention peuvent se tourner vers la recherche à l’issue du M2
Poursuite en thèse en apprentissage statistique, mathématiques appliquées ou intelligence artificielle ;
Fees and scholarships
The amounts may vary depending on the programme and your personal circumstances.
Capacity
Available Places
Target Audience and Entry Requirements
This program is intended for students who have completed an M1 (Master 1) degree in mathematics with a focus on statistics, data science, and computer science skills, or an M1 degree in computer science or artificial intelligence with a strong mathematical foundation.
The program is designed in particular as a continuation of the M1 Mathematics and AI program in Paris-Saclay.
It is specifically tailored for students at CentraleSupélec who have completed the SDI (Data Science and Artificial Intelligence) program, but it can also accommodate students from other engineering schools who have the necessary mathematical prerequisites, for example, during a study break.
Application Period(s)
From 01/04/2026 to 28/06/2026
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
Letter of recommendation or internship evaluation.
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.