Training Structure
College of Sciences
Overview
The Master’s program in Mathematics consists of three tracks in the first year: Modeling and Numerical Analysis (MANU), Fundamental Mathematics (MF), and Statistics and Data Science (SSD). In the second year, the MF track splits into two tracks: Fundamental Mathematics and Preparation for the Agrégation; the SSD track also splits into two tracks: Biostatistics (SSD-BIOSTAT) and Information and Decision Management (SSD-MIND).
Please refer to the fact sheets for each program for detailed descriptions.
Objectives
- Gain a scientific education that enables students to interact in a multidisciplinary setting
- Gain a solid theoretical foundation that may enable students to pursue an academic or industrial doctoral degree
- Preparation for the Agrégation exam
Expertise and Skills
See the descriptions of the various courses
Organization
Program
See the descriptions of the various courses
Select a program
Modeling and Numerical Analysis (MANU)
Fundamental Mathematics (MF)
Preparation for the External Mathematics Agrégation Exam (Prépa Agreg)
This program is designed for students preparing for the mathematics agrégation exam (either the general or specialized track). Its purpose is to support students in their review and prepare them for the various exam components. The first semester is divided between reviewing the concepts covered in the exam syllabus and an introduction to the specific exam components. The second semester begins with finalizing preparation for the written exams and then focuses on preparing for the oral exams. The ECTS credits earned in the program’s various course units allow students to earn the M2 degree required for the exam.
Statistics and Data Science (SSD)
The SSD track is a program in applied mathematics designed to provide students with advanced skills in statistics, stochastic modeling, and data science.
It is designed to provide students with a solid foundation of knowledge and professional skills so that they can integrate into multidisciplinary teams across a wide range of sectors, including healthcare, biology, ecology, the environment, genomics, energy, agronomy, economics, banking, insurance, marketing, research, and higher education.
Admission
Admission Requirements
Applications can be submitted through the following platforms:
French and European students:
- For the M1 program, follow the “My Master’s” procedure on the website: https://www.monmaster.gouv.fr/
- For the M2 program, students must submit their application through the e-candidat portal: https://candidature.umontpellier.fr/candidature
International students from outside the EU: Follow the “Études en France” procedure:https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html
Target Audience
Students who have earned a Bachelor's degree in Mathematics
Mandatory Prerequisites
Bachelor's degree in Mathematics or equivalent degree
Recommended Prerequisites
Bachelor's degree in Mathematics or equivalent degree
And then
Continuing Education
Doctorate in fields related to mathematics and its applications
Employment Placement
Mathematical engineering, particularly in the following areas: modeling, computational science, (bio)statistics, and data analysis.
Teaching mathematics at the secondary level (middle school, high school, preparatory classes for prestigious universities) or at the higher education level (university)
Careers in research in fundamental mathematics, applied mathematics, and statistics, in the public or private sector.