M2 - Statistics, learning and algorithms course

The MS2A pathway is aimed at highly motivated students with ambitions to pursue a PhD in statistics, machine learning or deep learning, or to join leading companies in the field of data processing and artificial intelligence (large corporations or innovative start-ups).

Published on 10/03/2025 - Updated on 12/11/2025

M2 - Statistics, learning and algorithms course

Contact

Gérard Biau, Patrick Gallinari, Sylvain Le Corff, Étienne Roquain et Maxime Sangnier

Secrétariat

Laurence Dreyfuss

Couloir 15-25, 1er étage, bureau 109
Case courrier 202

4 place Jussieu 75252 Paris cedex 05

Organization

First semester (September to January)

  • Pre-entry (early September) ;
  • Fundamental courses - Period 1 (before All Saints' Day) ;
  • Fundamental courses - Period 2 (after All Saints' Day).

Second semester (January to October)

  • Opening courses (until end of March) ;
  • Internship (from mid-April).

Exams are held at the end of each block (November, January and April). Make-up exams are held in June for students e⋅⋅ who did not obtain validating marks in the first session. There is compensation between courses. However, there is no compensation between semesters.

Target audience

The MS2A pathway is aimed at highly motivated students with ambitions to pursue a PhD in statistics, machine learning or deep learning, or to join leading companies in the field of data processing and artificial intelligence (large corporations or innovative start-ups).

Admission

Prerequisites: M1 in applied mathematics or 2nd year of engineering school.

Job opportunities

On completion of the MS2A specialization, students e⋅⋅ can go on to a doctorate (in an academic laboratory, research organization or industry) or enter the world of business directly.