Information
Objectives
Le M2 «Mathématiques pour les Sciences du Vivant» (MSV) est une formation complète et structurée dans les domaines mathématiques en interface avec les sciences du vivant (biologie, médecine, écologie). Son originalité réside dans son ancrage mathématique, la largeur du spectre des compétences mathématiques communes acquises par les diplômés et la variété des spécialisations en modélisation pour les sciences du vivant qui leur est offerte.
Career Opportunities
Further Study Opportunities
PhD
Calendar
Capacity
Available Places
Target Audience and Entry Requirements
M1 de mathématiques, élèves écoles d'ingénieur avec un bagage solide en mathématiques
Application Period(s)
From 30/01/2026 to 15/07/2026
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.
Detailed description and hourly volume of courses taken since the beginning of the university program.
Additional supporting documents
Certificate of French (compulsory for non-French speakers).
Cambridge English certificate ou equivalent.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Document indicating the list of local M2 choices available here : https://urlz.fr/i3Lo.
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.
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Concepts fondamentaux de la biologie et de l'écologie | 4 | Semestre 1 | 18 | ||||||||
| Modélisation déterministe | 6 | Semestre 1 | 30 | ||||||||
| Optimisation et simulation numérique | 6 | Semestre 1 | 30 | ||||||||
| Processus stochastiques | 6 | Semestre 1 | 30 | ||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Statistique en grande dimension | 6 | Semestre 1 | 30 | ||||||||
| Introduction to machine learning | 3 | Semestre 1 | 15 | ||||||||
| Reinforcement Learning | 3 | Semester 1 | 15 | ||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Séminaire | 2 | Semestre 1 | 20 | ||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mémoire ou Stage | 15 | Semestre 2 | |||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Projet | 3 | Semestre 2 | |||||||||
Teaching Location(s)
Contact
-
Camille CORON
-