- M1: msiam1 (at) imag (dot) fr
- M2: msiam2 (at) imag (dot) fr
- Both: msiam (at) imag (dot) fr
M1 - Head: Maëlle Nodet and Christophe Picard
- Apply here OPEN
Currently, applied mathematics is an area that provides many job opportunities, in industry and in the academic world. There is a great demand for mathematical engineers on topics such as scientific computation, big data analysis, imaging and computer graphics, with applications in many fields such as physics, medicine, biology, engineering, finance, environmental sciences.
The Master of Science in Industrial and Applied Mathematics (MSIAM) offers a large spectrum of courses, covering areas where the research in applied math in Grenoble is at the best level. Our graduates are trained to become experts and leaders in scientific and technological projects where mathematical modeling and computing issues are central, in industry or research. A large and distinguished graduate Faculty participate in the program, bringing their expertise in a wide range of areas of mathematics including applied analysis, numerical analysis and scientific computing, probability theory and statistics, computational graphics, image analysis and processing, and applied geometry.
Do not hesitate to browse 2016-2017 pages to get ideas about our offer.
The academic program is a two-year Master program (120 ECTS), fully taught in English. It combines three semesters of courses and laboratory work (93 ECTS) with a six-month individual research project (27 ECTS).
* The first year is composed of a common core which provides theoretical and practical grounds in probability and statistics, PDE and modelling, images and geometry as well as computer sciences, optimization and cryptology. The courses list can be found here.
* In the second year, the third semester is essentially divided in 4 tracks:
* The fourth semester is devoted to the master thesis project.
To be admitted to the program, candidates must have previously completed their undergraduate studies and been awarded a Bachelor degree in Mathematics or Applied Mathematics, or equivalent.