Ce que vous saurez faire
This Master is structured around 2 different 2-year degrees: Statistics and Mathematical modeling or Computational Biology. These 2 majors lead students to address the new challenges of complex biological systems.
While specialising on a major in their own field, students share courses and interdisciplinary projects. Independently from their major, every student will follow courses in Computer Science, Mathematics, Statistics and Computational Biology.
Part of the formation consists in gathering students from the different CMB majors to conduct interdisciplinary
projects that will prepare them to research internships and professional careers.
Computational and Mathematical Biology is an international MSc with a strong emphasis placed on students'
future professional careers. As such, lectures are taught in English, which is the language most commonly used in
research.
Le déroulé, étape par étape
All students will be taught the basics in biology required to understand the actual challenges in biology, mathematical tools for modelling (discrete and continuous dynamical systems), statistical tools for interpreting biological data, Other computational courses will be given to form them to the simulation of the models.
Students will deepen their knowledge in the analysis of interaction networks involved in the function and regulation of different biological processes (embryonic developmental, nervous system, immune response) in order to understand the relationship between network structure and the behaviour of complex biological systems.
À la fin de la formation
For all students. Collaborating to a research activity as a part of an interdisciplinary group.
Using and mastering the statistical methods and tools to analyse biological experimental data or help confronting mathematical models and biological systems.
For the math students. Acquiring the biological concepts required to model living systems. Using and mastering the computational and mathematical methods and tools to elaborate and analyse models of biological systems (Ordinary differential equations, stochastic differential equations, partial differential equation, discrete dynamical systems). Choosing and implementing the methodology adapted to the modelling of a given problem / biological system. Evaluating the feasibility and the efficiency of a computational choice for the analysis of a complex system.
Selon l’organisme
As this Master is a highly selective research-focused study path, a BSc in biology or eventually computational science obtained with Honors is required. Courses are taught in English and the master is open to international students
Où se déroule la formation
Payer avec votre Compte Personnel de Formation
Cette formation figure au catalogue Mon Compte Formation : elle est éligible au CPF. Vos droits, cumulés en euros, se consultent et s’utilisent sur le site officiel.
Vérifier mes droits sur moncompteformation.gouv.frOrganisme, certification, inscription
Texte rédigé par l’organisme de formation. Source : « Moncompteformation – L’offre de formation », Caisse des Dépôts et DGEFP, données ouvertes sous Licence Ouverte 2.0, mise à jour du 02/10/2026. WorkDispo n’est pas affilié à Mon Compte Formation.