Program Overview

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Master 2 Applied Mathematics, Statistics

The Master 2 Applied Mathematics, Statistics trains for research and high-level mathematical engineering. Students acquire skills both in the field of numerical modeling and in the field of stochastic and statistical modeling.

Objectives

The master's program offers 4 majors:

• Mathematics, biology and medicine
• Mathematics, environment and climate
• Mathematics, Image and Data
• Mathematics, statistical learning and machine learning

Program

Common Core

• Deterministic Modeling (required)
• Stochastic Modeling and Statistical Learning (required)
• Applied Mathematics, statistics (optional)
• Optimization and Parsimonious Representation (required)
• Language

Specialization

The second semester (January to March) is made up of a major to choose from among 4 and an end-of-study internship (April to September) in the form of an introduction to research careers, to be carried out in a laboratory or company.

Mathematics, Biology and Medicine Major

• Epidemiology
• Evolutionary biology
• Cell dynamics and complex systems
• Modeling in spatial ecology

Major: Mathematics, Environment and Climate

• Modeling for climate change risk assessment
• Fluid mechanics equations and their numerical approximation
• Modeling in spatial ecology
• Graphs and ecological networks

Mathematics, images and data major

• Geometric approaches for images and shapes
• Variational methods for inverse problems in medical imaging
• Parcimony and high dimensionality
• Neural networks

Mathematics, statistical learning and machine learning major

• Neural networks
• Parcimony and high dimensionality
• Graphs and ecological networks
• Optimal transport for learning

Internship

Students must complete a 5-6 month internship in a laboratory or company.

Diploma and certification

This course delivers a national master's degree - controlled by the State.

Career opportunities

• Mathematician modeler
• R&D engineer
• Researcher

Focus

A co-accredited master's degree The Maths in Action course of the Applied Mathematics, Statistics master's degree is co-accredited with the University of Lyon 1, the Saint-Etienne Ecole des Mines, the Université de Saint-Etienne and the ENS de Lyon.

Admission requirements and application

Pre-requisites

This course is accessible only to Centrale Lyon engineering students as part of a double degree. For external candidates: consult the University Lyon 1 website.