• Training structure

    Faculty of Science

Presentation

The Master of Mathematics is composed of three tracks in the first year: Modelling and Numerical Analysis (MANU), Fundamental Mathematics (MF) and Statistics and Data Science (SSD). In the second year, the MF course is split into two courses: Fundamental Mathematics and Preparation for the Agrégation; the SSD course is also split into two courses: Biostatistics (SSD-BIOSTAT) and Information and Decision Management (SSD-MIND).

 

Please refer to the individual pathway sheets for detailed presentations.

 

Read more

Objectives

- Acquire a scientific background that enables you to interact in a multidisciplinary context

 

- Acquire a solid theoretical background that will eventually lead to an academic or industrial thesis

 

- Preparation for the agrégation exam

 

Read more

Know-how and skills

see the different pathway sheets

Read more

Organization

Programme

see the different pathway sheets

Read more

Select a programme

Modelling and Numerical Analysis (MANU)

See the full page of this course

Fundamental Mathematics (FM)

See the full page of this course

Preparation for the External Aggregation in Mathematics (Prépa Agreg)

This course is intended for students preparing for the competitive examination for the agrégation (external or special) in mathematics. It is designed to help students revise and prepare them for the various exams. The first semester is divided between revision of the concepts included in the competitive examination programme and an introduction to the specific tests. The second semester begins by finalising the preparation for the written exams and is then devoted to the preparation for the oral exams. The ECTS acquired in the various courses of the programme allow the M2 required for the competitive examination to be validated.

See the full page of this course

Statistics and Data Science (SSD)

See the full page of this course

Modeling Biological and Environmental Systems - Mention MATHEMATICS - IDIL

The Master's program "Modeling of Environmental and Biological Systems" (MoBiEn) aims to train its students in quantitative and theoretical research of complex phenomena in living systems emerging at several scales: from the single molecule to living organisms, as well as their interaction with their environment.

The MoBiEn Master brings together scientists from different laboratories as well as professors from our 4 departments: Mathematics, Physics, Mechanical Engineering, and Computer Science. In this sense, it offers a coherent multidisciplinary program that makes MoBiEn a unique training whose core disciplines are Statistical Physics, Stochastic Processes, Biomechanics, Numerical Simulations, Statistical Methods, Advanced Data Analysis Techniques, and Artificial Intelligence.

Examples of teaching units:

- Stochastic processes
- Biological physics
- Finite element simulation

 

See the full page of this course

Admission

Target audience

Students with a Bachelor's degree in Mathematics

Read more

Necessary pre-requisites

Bachelor of Mathematics or equivalent degree

Read more

Recommended prerequisites

Bachelor of Mathematics or equivalent degree

Read more

And then

Further studies

PhD in specialities related to Mathematics and its applications

 

Read more

Professional integration

 

Mathematical engineering, including modelling, scientific computing, (bio)statistics, data analysis.

Teaching Mathematics in secondary schools (collège, lycée, classes préparatoires aux grandes écoles) or higher education (university)

Research careers in fundamental mathematics, applied mathematics, statistics, in the public or private sector.

 

Read more