Niveau d'étude visé
Bac +5
ECTS
120 crédits
Durée
2 ans
Composante
UFR IM2AG (informatique, mathématiques et mathématiques appliquées), Grenoble INP - Ensimag (Informatique, mathématiques appliquées et télécommunications), UGA
Langue(s) d'enseignement
Anglais
Présentation
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.
The academic program is a two-year master program (120 ECTS), fully taught in English. It combines three semesters of courses and laboratory work (90 ECTS) with a six-month individual research project (30 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, optimisation and cryptology.
In the second year, the first semester is divided in 2 tracks :
- Modeling, Scientific Computing and Image analysis (MSCI)
- Data Science (DS)
The second semester is devoted to the master thesis project.
The course is labelled "Core AI" by MIAI.
Site web du master 2e année MSIAM
This course is taught by research professors (lecturers, university professors), associate professors and professionals in the field.
Formation internationale
Formation tournée vers l’international
Dimension internationale
The training is entirely given in English and is open to an international audience.
The international relations correspondent at your university will be able to advise you.
Further information: https://international.univ-grenoble-alpes.fr/partir-a-l-international/partir-etudier-a-l-etranger-dans-le-cadre-d-un-programme-d-echanges/
Organisation
Stages
Stage | Obligatoire |
|---|
Programme
Sélectionnez un programme
Master applied mathematics 1re année
UE Object-oriented and software design
3 créditsUE Partial differential equations and numerical methods
6 créditsUE Signal and image processing
6 créditsUE Geometric Modelling
6 créditsUE English
3 créditsUE Applied probability and statistics
6 créditsUE Systèmes dynamiques
3 créditsUE Instabilities and Turbulences
3 créditsUE Turbulence
3 crédits
UE Computing science for big data and HPC
6 créditsUE Project
3 créditsUE Internship
3 créditsUE Numerical optimisation
6 créditsAu choix : 2 parmi 6
UE Operations Research (MG et AM)
6 créditsUE Introduction to cryptology (AM)
6 créditsUE Introduction to cryptology
3 créditsUE Algebraic Algorithms for Cryptology
3 crédits
UE 3D Graphics (AM)
6 créditsUE 3D Graphics
3 crédits3D Graphics Complementary
3 crédits
UE Turbulences
6 créditsUE Statistical learning and applications
6 créditsUE Variational methods applied to modelling
6 crédits
Master applied mathematics 1ere année parcours Graduate School
UE Object-oriented and software design
3 créditsUE Partial differential equations and numerical methods
6 créditsUE Signal and image processing
6 créditsUE Geometric Modelling
6 créditsUE Applied probability and statistics
6 créditsUE English
3 crédits
UE Computing science for big data and HPC
6 créditsUE Project
3 créditsUE Numerical optimisation
6 créditsUE GS_MSTIC_Démarche Scientifique
6 créditsAu choix : 1 parmi 6
UE Introduction to cryptology (AM)
6 créditsUE Introduction to cryptology
3 créditsUE Algebraic Algorithms for Cryptology
3 crédits
UE Operations Research (MG et AM)
6 créditsUE 3D Graphics (AM)
6 créditsUE 3D Graphics
3 crédits3D Graphics Complementary
3 crédits
UE Turbulences
6 créditsUE Statistical learning and applications
6 créditsUE Variational methods applied to modelling
6 crédits
Master MSIAM parcours classique 2e année
UE Software development tools and methods
3 créditsUE Modeling seminar and projects
6 créditsUE Geophysical imaging
3 créditsUE An introduction to shape and topology optimization
3 créditsUE Refresh courses
0 créditsUE GPU Computing
6 créditsUE Differential Calculus, Wavelets and Applications
6 créditsUE Optimal transport: theory, applications and related numerical methods
6 créditsUE Fluid Mechanics and Granular Materials
6 créditsUE Handling uncertainties in (large-scale) numerical models
6 créditsUE Temporal, spatial and extreme event analysis
6 créditsUE Advanced Machine Learning: Applications to Vision, Audio and Text
6 créditsUE Natural Language Processing & Information Retrieval
6 créditsUE From Basic Machine Learning models to Advanced Kernel Learning
6 créditsUE Mathematical Foundations of Machine Learning
6 créditsUE Statistical learning: from parametric to nonparametric models
6 créditsUE Learning, Probabilities and Causality
6 créditsUE Mathematical optimization
6 créditsUE Data science seminars and Challenge
6 créditsUE Computational biology
6 créditsUE Quantum Information & Dynamics
6 créditsUE Numerical Mechanics
6 crédits
UE Research projects
30 crédits
Master 2e année parcours Graduate School
UE GS_MSTIC_Ethique de la recherche
6 créditsUE Software development tools and methods
3 créditsUE Modeling seminar and projects
6 créditsUE Geophysical imaging
3 créditsUE An introduction to shape and topology optimization
3 créditsUE Refresh courses
0 créditsUE GPU Computing
6 créditsUE Differential Calculus, Wavelets and Applications
6 créditsUE Fluid Mechanics and Granular Materials
6 créditsUE Handling uncertainties in (large-scale) numerical models
6 créditsUE Temporal, spatial and extreme event analysis
6 créditsUE Advanced Machine Learning: Applications to Vision, Audio and Text
6 créditsUE Natural Language Processing & Information Retrieval
6 créditsUE From Basic Machine Learning models to Advanced Kernel Learning
6 créditsUE Mathematical Foundations of Machine Learning
6 créditsUE Statistical learning: from parametric to nonparametric models
6 créditsUE Learning, Probabilities and Causality
6 créditsUE Mathematical optimization
6 créditsUE Data science seminars and Challenge
6 créditsUE Computational biology
6 créditsUE Quantum Information & Dynamics
6 créditsUE Numerical Mechanics
6 créditsUE Advanced numerical methods for PDEs and optimal transport problems
6 crédits
UE Research projects
30 crédits
Admission
Conditions d'admission
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. MSIAM is a two-years master degree. Students can apply to 1st yearor directly to second year.
- Admission in MSIAM 1st year : anyone holding a 3rd year or bachelor degree in mathematics or applied mathematics or an equivalent degree, interested in pursuing a high level mathematical education and motivated by the applications of mathematics. The minimum requirement is to have earned at least the equivalent of 180 ECTS credits
- Admission in MSIAM 2nd year : anyone holding a first year of master (60 ECTS credits) in mathematics or applied mathematics or an equivalent degree, interested in pursuing a high level mathematical education and motivated by the applications of mathematics. The minimum requirement is to have earned at least the equivalent of 240 ECTS credits.
Important notes :
- Students from related backgrounds (physics, computer science, engineering,…) may also apply provided they possess outstanding mathematical qualifications and are highly motivated by applications
- Eligibility : only individuals who have an excellent academic record will be considered. Applications from students from traditionally underrepresented groups are particularly encouraged
- Academic standing : Fellows must maintain full-time status in the master’s program, and must be engaged in full-time coursework or research during the academic year (september 1st – july 31st)
Public continuing education : You are in charge of continuing education :
- if you resume your studies after 2 years of interruption of studies
- or if you followed a formation under the regime formation continues one of the 2 preceding years
- or if you are an employee, job seeker, self-employed
If you do not have the diploma required to integrate the training, you can undertake a validation of personal and professional achievements (VAPP)
Candidature
Do you want to apply and register? Note that the procedure differs depending on the degree considered, the degree obtained, or the place of residence for foreign students.
Droits de scolarité
Pré-requis obligatoires
Language requirements :
-
Students are required to provide evidence of Competence in English.
English scores required MSIAM programs: TOEFL IBT 78, CBT 210, Paper 547 / TOEIC 700 / Cambridge FCE / IELTS 6.0 min.
This is equivalent to CEFR level B2.If you have successfully completed a degree (or equivalent) course at a University in one of the following countries then you meet the English requirement automatically: Australia, Canada, Guyana, Ireland, New Zealand, South Africa, United Kingdom, United States of America, West Indies.
- An A2 level in French is recommended