Master Mathématiques et applications
Master of Science in industrial and applied mathematics (MSIAM)
Présentation et objectifs
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.
Présentation
Présentation
Dimension internationale :
Formation tournée vers l’internationalThe 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/
Partenariats:
Établissement(s) co-accrédité(s)
- Institut Polytechnique de Grenoble
- Université Grenoble Alpes
Établissement(s) partenaire(s)
Laboratoire(s) partenaire(s)
Autres(s) structure(s) partenaire(s)
Programme
Programme
Program under construction - awaiting CFVU vote
- Semestre 7
- UE Object-oriented and software design 3 crédits ECTS
- UE Partial differential equations and numerical methods 6 crédits ECTS
- UE Signal and image processing 6 crédits ECTS
- UE Geometric Modelling 6 crédits ECTS
- UE English
- UE Applied probability and statistics 6 crédits ECTS
- UE Systèmes dynamiques 3 crédits ECTS
- UE Instabilities and Turbulences 3 crédits ECTS
- UE Dynamiques des fluides turbulents 3 crédits ECTS
- Semestre 8
- UE Computing science for big data and HPC 6 crédits ECTS
- UE Project 3 crédits ECTS
- UE Internship 3 crédits ECTS
- UE Numerical optimisation 6 crédits ECTS
- UE Operations Research (MG et AM) 6 crédits ECTS
- Operations Research Complementary
- UE Operations Research 3 crédits ECTS
- UE Introduction to cryptology (AM) 6 crédits ECTS
- UE 3D Graphics (AM) 6 crédits ECTS
- UE 3D Graphics 3 crédits ECTS
- 3D Graphics Complementary
- UE Turbulences 6 crédits ECTS
- UE Statistical analysis and document mining 6 crédits ECTS
- UE Variational methods applied to modelling 6 crédits ECTS
2 option(s) au choix parmi 6
- Semester 7
- UE Object-oriented and software design 3 crédits ECTS
- UE Partial differential equations and numerical methods 6 crédits ECTS
- UE Signal and image processing 6 crédits ECTS
- UE Geometric Modelling 6 crédits ECTS
- UE Applied probability and statistics 6 crédits ECTS
- UE English
- Semester 8
- UE Computing science for big data and HPC 6 crédits ECTS
- UE Project 3 crédits ECTS
- UE Numerical optimisation 6 crédits ECTS
- UE GS_MSTIC_Démarche Scientifique 6 crédits ECTS
- UE Introduction to cryptology (AM) 6 crédits ECTS
- UE Operations Research (MG et AM) 6 crédits ECTS
- Operations Research Complementary
- UE Operations Research 3 crédits ECTS
- UE 3D Graphics (AM) 6 crédits ECTS
- UE 3D Graphics 3 crédits ECTS
- 3D Graphics Complementary
- UE Turbulences 6 crédits ECTS
- UE Statistical analysis and document mining 6 crédits ECTS
- UE Variational methods applied to modelling 6 crédits ECTS
1 option(s) au choix parmi 6
- Semestre 9
- UE Differential Calculus, Wavelets and Applications 6 crédits ECTS
- UE Efficient methods in optimization 3 crédits ECTS
- UE Software development tools and methods 3 crédits ECTS
- UE Modeling seminar and projects 6 crédits ECTS
- UE Geophysical imaging 3 crédits ECTS
- UE An introduction to shape and topology optimization 3 crédits ECTS
- UE Refresh courses
- UE Fluid Mechanics and Granular Materials 6 crédits ECTS
- UE GPU Computing 3 crédits ECTS
- UE Optimal transport: theory, applications and related numerical methods 6 crédits ECTS
- Semestre 10
- UE Research projects 30 crédits ECTS
- Semestre 9
- UE Efficient methods in optimization 3 crédits ECTS
- UE Software development tools and methods 3 crédits ECTS
- UE Modeling seminar and projects 6 crédits ECTS
- UE Data science seminars and Challenge 6 crédits ECTS
- UE An introduction to shape and topology optimization 3 crédits ECTS
- UE Computational biology 6 crédits ECTS
- UE Optimal transport: theory, applications and related numerical methods 6 crédits ECTS
- UE Handling uncertainties in (large-scale) numerical models 6 crédits ECTS
- UE Temporal, spatial and extreme event analysis 6 crédits ECTS
- UE GPU Computing 3 crédits ECTS
- UE Differential Calculus, Wavelets and Applications 6 crédits ECTS
- UE From Basic Machine Learning models to Advanced Kernel Learning 6 crédits ECTS
- UE Learning, Probabilities and Causality 6 crédits ECTS
- UE Statistical learning: from parametric to nonparametric models 6 crédits ECTS
- UE Mathematical Foundations of Machine Learning 6 crédits ECTS
- UE Advanced Machine Learning: Applications to Vision, Audio and Text 6 crédits ECTS
- UE Natural Language Processing & Information Retrieval 6 crédits ECTS
- Semestre 10
- UE Research projects 30 crédits ECTS
- Semestre 9
- UE GS_MSTIC_Ethique de la recherche 6 crédits ECTS
- UE Differential Calculus, Wavelets and Applications 6 crédits ECTS
- UE Efficient methods in optimization 3 crédits ECTS
- UE Software development tools and methods 3 crédits ECTS
- UE Modeling seminar and projects 6 crédits ECTS
- UE Data science seminars and Challenge 6 crédits ECTS
- UE Optimal transport: theory, applications and related numerical methods 6 crédits ECTS
- UE Geophysical imaging 3 crédits ECTS
- UE An introduction to shape and topology optimization 3 crédits ECTS
- UE Fluid Mechanics and Granular Materials 6 crédits ECTS
- UE Statistical learning: from parametric to nonparametric models 6 crédits ECTS
- UE Handling uncertainties in (large-scale) numerical models 6 crédits ECTS
- UE Computational biology 6 crédits ECTS
- UE Temporal, spatial and extreme event analysis 6 crédits ECTS
- UE Refresh courses
- UE Learning, Probabilities and Causality 6 crédits ECTS
- UE From Basic Machine Learning models to Advanced Kernel Learning 6 crédits ECTS
- UE GPU Computing 3 crédits ECTS
- UE Mathematical Foundations of Machine Learning 6 crédits ECTS
- UE Advanced Machine Learning: Applications to Vision, Audio and Text 6 crédits ECTS
- UE Natural Language Processing & Information Retrieval 6 crédits ECTS
- Semestre 10
- UE Research projects 30 crédits ECTS
Master applied mathematics 1re année
Master applied mathematics 1ere année parcours Graduate School
Master MSIAM modeling, scientific computing and image analysis (MSCI) 2e année
Master MSIAM data science (DS) 2e année
Master 2e année parcours Graduate School
Admission
Admission
Condition d'accès
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.
Find out which procedure applies to me and apply
Pré-requis
Language requirements :
- Students from countries where English language is not the primary language are required to provide evidence of Competence in English. The requirement is waived for applicants from English speaking countries as well as applicants whose previous degree is from a program taught in English. English scores required: TOEFL IBT 100 min / TOEIC 750 min / IELTS 6.5 min. This is equivalent to the CEFR CEFR level B2, although we will consider applicants with a B1 level and who have an excellent academic record
- An A2 level in French is recommended
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.
Télécharger
Contacts
Secrétariat de scolarité
Bérengère Duc
Sur le web
En bref
Discipline : Informatique, Mathématiques, Sciences et technologies de l'information et de la communication, IngénierieModalités : Formation initiale / continue
Langues : Anglais
Lieux : Grenoble - Domaine universitaire
Dimension internationale : Oui
Durée des études : 2 ans
Niveau de recrutement : Bac +3