- 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
The first semester of MSIAM master 2 is essentially divided in 4 tracks. Each student should be registered in one of the following tracks:
However a personalized track may also be build for some students from the available courses (if no timetable conflicts appears). The personalized tracks must be approved by the Professors in charge of MSIAM.
The last semester consists in a project in a research lab or in industry.
See the Master Thesis proposals in 2016-2017
Refresher courses can be followed at the beginning of semester 3, to be chosen among:
These refresher courses do not count in the total of 30 required ECTS.
Modeling, Scientific Computing, Imaging, Geometry, CAD have been for decades at center of many innovations in many areas: design and development in industry such as transports, manufacturing (any innovative object is concerned by MSCI and CAD), Medical / Pharmaceutical (modeling of systems [CT scanner, MRI, hybrid imaging, robots, etc.], life and biomedical modeling), Chemical (modeling and simulation of reactions), Environment, Big Data (data and image modeling and analysis) …
The purpose of the MSCI track is to train high-level researchers in Modeling, Scientific Computing, Imaging, by providing theoretical foundations and applied methodology. The theoretical courses ( ~ 180h) are followed by an internship in a research lab or company.
“I keep saying the sexy job in the next ten years will be statisticians.” said Hal Varian (Google’s Chief Economist).
Statistics has a strong presence today in many areas: Telecommunications ( the needs of subscribers a package of mobile telephony), Medical / Pharmaceutical (statistics used to quantify uncertainty and, ultimately, improve the health of patients.) Banking / Insurance (statisticians are indispensable when it comes to control risk), Environment, Marketing / Advertising …
The purpose of this track is to train high-level researchers in statistics by providing theoretical foundations and applied methodology. The theoretical courses ( ~ 180h) are followed by an internship in a research lab or company.
The burst of data collection at unprecedented speed and scale in many fields, from biology to astrophysics, demands a paradigm shift in applied mathematics and computer science in order to face the new challenges in scientific modelling and computation.
To harness the power of this data revolution, the world needs academic researchers and professionals called “data scientists” skilled in designing and utilizing automated methods of analyzing it. We have launched a new track in the MSIAM master in order to establish the country’s leading Data Science academic training. Data science is becoming essential to answer some of the big scientific questions and technological challenges of our times: How can we prevent cancer and find better cures for diseases? How does the brain work? How can we design an artificial intelligence?
Data science lies at the crossroad of mathematics (pure and applied), statistics, computer science and an increasingly large number of application domains.
The Data Science track becomes a common track with the MoSIG program, as of 2016-2017. The Data Science track is both research- and industry-oriented. The theoretical courses (~180h) are followed by an internship in a research lab or company.
This track is dedicated to Maths for Industry. The purpose of the IM track is to train high-level engineers in Modeling, Scientific Computing, Imaging, CAD, by providing theoretical foundations and applied methodology. The theoretical courses are balanced with applied works based on numerical experimentations and industrial R&D projects (~350h). They are followed by an internship in a company.
This track must be avoided if your interest is academic research.
The following 6 courses are compulsory
And must be completed by 4 elective courses a priori among
The participation to
vendredi 21 octobre 14h-17h à l’Ensimag Amphi D
Les élèves de Master sont invités