Master of Applied Mathematics
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Application process
Fellowships
Non-EU students
Program
Curriculum of this year
Internships
Assessment rules
Foreign students
Winter time
Summer time
Tourism
Grades, ranking and diploma
Exchange students
Others
PhD and Research
Industrial Career
Semester 2
Computing science for big data and High Performance Computing
This course is composed of two parts “Introduction to databases” and “High Performance Computing”. Its aim is to give an introduction to numerical and computing challenges of large dimension problems.
Data Science
The aim of this course is to present the statistical approaches for analysing multivariate data. The information age has resulted in masses of multivariate data in many different fields.
Graduate School project
A student selected in the Graduate School track has to do a research project.
Internship
Industrial and/or research internship.
Introduction to cryptology
The aim of this course is to give mathematical grounds of security, integrity, authentication and cryptology.
Modeling Project
The students will work on a project during the month of January.
Numerical optimisation
This program combines case studies coming from real life problems or models and lectures providing the mathematical and numerical backgrounds.
Operations Research
The main objective of this course is to provide basic tools in operations research.
Variational methods applied to modelling
The aim of this course is to gain in-depth knowledge of PDE modelling and their numerical resolution, in particular using variational methods such as the Finite Elements method.
