M1 Mathématiques et Intelligence Artificielle
The "Mathematics and AI" M1 master's program is an applied mathematics course (fundamental courses in optimization, probability, and statistics) that emphasizes mathematical analysis and the implementation of the most effective statistical learning algorithms, using appropriate computer technologies and real-world examples. The program is designed in collaboration with the world of corporate research through internships and guest lectures.
Objectives
- Acquire, understand, and master the mathematical methods and high-level learning algorithms that drive the development of artificial intelligence.
- Research master's program open to industry, aimed at training students in research developments and data scientist issues (industry representatives involved in teaching and supervising projects and internships).
- Training, including the acquisition and use of the latest AI computer tools for big data processing, deep learning, and code development in a collaborative environment (partnership with the Paris Saclay Master's in Computer Science).
For more information, please visit the website for this program.
Maitriser et mettre en oeuvre des outils et méthodes mathématiques de haut niveau.
The training program focuses on developing a strong understanding of mathematical methods combined with expertise in data analysis and code development in collaborative environments.
The year consists of two semesters and an internship period from mid-March to the end of August. The first semester lasts 12 weeks (September to December), and the second semester lasts 10 weeks (January to mid-March).
Les débouchés visés sont la thèse en milieu académique ou industriel.
- Bachelor's degree in mathematics or equivalent.
- Students with a solid scientific background at the B.A. level in mathematics or a dual B.A. degree with mathematics.
- Students with a good foundation in probability, numerical analysis, and Python programming.
A significant portion of the teaching units include projects or data challenges to develop students' independence.
The academic year ends with a four-month internship in a company or academic laboratory starting in mid-march.
équivalence avec une formation de Licence de mathématiques en 3 ans
Connaissance approfondie des théories et outils mathématiques sous-tendant les développements de recherche actuels en apprentissage automatisé et intelligence artificielle.
Expertise sur les enjeux actuels associés, à l'interface théorie mathématique/informatique théorique.
Capacité de mise en oeuvre en pratique, familiarité avec les outils informatiques correspondants.
Expérience de confrontation aux problématiques de la recherche actuelle dans le domaine.
Centre de mathématiques et de leurs applications
Laboratoire de mathématiques d'Orsay
Laboratoire de recherche en informatique.
The schedule will be posted shortly.
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Motivation letter.
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All transcripts of the years / semesters validated since the high school diploma at the date of application.
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Curriculum Vitae.
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Letter of recommendation or internship evaluation.
(A recommendation letter is optional, but strongly advisable) -
Certificate of French (compulsory for non-French speakers).
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VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
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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.