Master 2 Applied mathematics, statistics
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Master
1 year
French
Student
Lyon-Ecully Campus
Objectives
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.
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.
- Epidemiology
- Evolutionary biology
- Cell dynamics and complex systems
- Modeling in spatial ecology
- Modeling for climate change risk assessment
- Fluid mechanics equations and their numerical approximation
- Modeling in spatial ecology
- Graphs and ecological networks
- Geometric approaches for images and shapes
- Variational methods for inverse problems in medical imaging
- Parcimony and high dimensionality
- Neural networks
- 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.
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.