Master in M2 Mathématiques de l’aléatoire

Modules such as 'Apprentissage séquentiel, optimisation et jeux' and the 'Projet Machine Learning pour la prévision' will equip students to model and study random phenomena. The programme also covers applications in data science, theoretical physics, biology, ecology, and information theory.

The programme is run across three campuses: Bures sur Yvette, Orsay, and Gif sur Yvette, which means students can engage with the wider university community while focusing on their mathematical studies.