Duration
4 semesters
Component
Faculty of Science & Technology
Location(s)
Orleans
Presentation
The aim of the Master's degree in Applied Mathematics and Statistics - "Statistics & Data Science, Mathematical Engineering" - is to train Data Scientistsengineers, statisticians or applied mathematicians who can work in :
- statistical analysis services (banking, insurance, business intelligence, statistical services)
- the health and environment sectors
- Research & Development (R&D) services in leading-edge industrial sectors (Engineering, Learning, AI)
- Applied research, in particular by pursuing doctoral studies as part of applied theses (CIFRE type) in statistics (bio-statistics, epidemiology) or mathematics (numerical methods for models in physics, biology, AI).
Skills
Skills acquired :
- Random modeling (decision mathematical statistics, Statistical Computing)
- Data mining (data mining methods, learning, high-performance computing)
- Big Data (distributed computing with Hadoop clusters and MapReduce programming)
- Learning, Neural Networks (computer vision, machine learning)
- Applied probability (Monte Carlo simulation, random processes, MCMC algorithms)
- Mathematical modeling, scientific computing, optimization
- Proficiency in specialized software (R and SAS for statistics, Python, Matlab and C++ for scientific computing).
Useful contacts
Faculty of Science & Technology
Mathematics Department
1, rue de Chartres 45067 Orléans cedex
Department secretary :
secretariat-maths.st@univ-orleans.fr
Schooling :
masters.st @ univ-orleans.fr
Admission
Admission requirements
Prerequisites: a Bachelor's degree in Mathematics or equivalent. Applications are considered on the basis of a portfolio.
How to register
M1 application form to be sent to the following address:
M2 application form to be sent to the following address:
https://ecandidat.univ-orleans.fr/
Tuition fees
For students:
https://www.univ-orleans.fr/fr/univ/formation/droits-dinscriptions
For adults returning to school; consult SEFCO.
And then
Further studies
Possible doctoral studies
Professional integration
This Master's degree will enable you to work in statistical analysis and R&D departments in leading-edge industrial sectors; in banking, insurance and financial circles; in applied research in statistics (bio-statistics, epidemiology, reliability) or mathematics (numerical methods for models in physics, biology, etc.) via theses in an industrial environment, for example.