Master in Mathematics and applications
Science in industrial and applied mathematics (MSIAM)
Presentation and goals
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. The 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 third semester is divided in 2 tracks :
- Modeling, Scientific Computing and Image analysis (MSCI)
- Data Science (DS)
The semester 10 is devoted to the master thesis project.
The course is labelled "Core AI" by MIAI.
Presentation
Presentation
International dimension :
Internationally-oriented programmesThe training is entirely in English and is open to an international audience.
Partnerships:
Accredited organizational unit(s)
- Polytechnic Institute of Grenoble
- University of Grenoble Alpes
Other partner structure(s)
Programme
Programme
Program under construction - awaiting CFVU vote
Master applied mathematics 1st year
- Semester 7
- UE English 3 ECTS credits
- UE Signal and image processing 6 ECTS credits
- UE Geometric modelling 6 ECTS credits
- UE Applied probability and statistics 6 ECTS credits
- UE Systèmes dynamiques 3 ECTS credits
- UE Instability and Turbulences 3 ECTS credits
- UE Turbulence 3 ECTS credits
- UE Computing science for big data and HPC 6 ECTS credits
- HPC
- Introduction to database 3 ECTS credits
2 option(s) to choose from 2
- UE Operations Research (AM) 6 ECTS credits
- UE Operations Research 3 ECTS credits
- Operations Research Complementary
- UE Operations Research 3 ECTS credits
- UE 3D graphics 3 ECTS credits
- 3D Graphics Complementary
- UE 3D graphics 3 ECTS credits
Master applied mathematics 1 st year Graduate School program
- Semester 7
- UE Applied probability and statistics 6 ECTS credits
- UE English 3 ECTS credits
- UE Signal and image processing 6 ECTS credits
- UE Geometric modelling 6 ECTS credits
- UE Computing science for big data and HPC 6 ECTS credits
- HPC
- Introduction to database 3 ECTS credits
1 option(s) to choose from 1
- UE Operations Research (AM) 6 ECTS credits
- UE Operations Research 3 ECTS credits
- Operations Research Complementary
- UE Operations Research 3 ECTS credits
- UE 3D graphics 3 ECTS credits
- 3D Graphics Complementary
- UE 3D graphics 3 ECTS credits
Master MSIAM modeling, scientific computing and image analysis (MSCI) 2nd year
- Semester 9
- UE Differential Calculus, Wavelets and Applications 6 ECTS credits
- UE An Introduction to Shape and Topology Optimization 3 ECTS credits
- UE Efficient methods in optimization 3 ECTS credits
- UE Fluid Mechanics and Granular Materials 6 ECTS credits
- UE GPU Computing 6 ECTS credits
- UE Software development tools and methods 3 ECTS credits
- UE Geophysical imaging 3 ECTS credits
- UE Handling uncertainties in (large-scale) numerical models 6 ECTS credits
- UE Modeling seminar and projects 6 ECTS credits
- UE Quantum Information & Dynamics 6 ECTS credits
- UE Optimal transport: theory, applications and related numerical methods 6 ECTS credits
- UE Statistical learning: from parametric to nonparametric models 6 ECTS credits
- UE Temporal, spatial and extreme event analysis 6 ECTS credits
- UE Computational biology 3 ECTS credits
- UE Research projects 30 ECTS credits
Master MSIAM data science (DS) 2nd year
- Semester 9
- UE Advanced Machine Learning: Applications to Vision, Audio and Text 6 ECTS credits
- UE An Introduction to Shape and Topology Optimization 3 ECTS credits
- UE Data Science Seminars and Challenge 6 ECTS credits
- UE Differential Calculus, Wavelets and Applications 6 ECTS credits
- UE Efficient methods in optimization 3 ECTS credits
- UE From Basic Machine Learning models to Advanced Kernel Learning 6 ECTS credits
- UE Handling uncertainties in (large-scale) numerical models 6 ECTS credits
- UE GPU Computing 6 ECTS credits
- UE Learning, Probabilities and Causality 6 ECTS credits
- UE Mathematical Foundations of Machine Learning 3 ECTS credits
- UE Modeling seminar and projects 6 ECTS credits
- UE Optimal transport: theory, applications and related numerical methods 6 ECTS credits
- UE Natural Language Processing & Information Retrieval 6 ECTS credits
- UE Statistical learning: from parametric to nonparametric models 6 ECTS credits
- UE Software development tools and methods 3 ECTS credits
- UE Temporal, spatial and extreme event analysis 6 ECTS credits
- UE Computational biology 3 ECTS credits
- UE Research projects 30 ECTS credits
Master 2nd Graduate School program
- Semester 9
- UE GS_MSTIC_Research ethics 6 ECTS credits
- UE Software development tools and methods 3 ECTS credits
- UE Modeling seminar and projects 6 ECTS credits
- UE Geophysical imaging 3 ECTS credits
- UE An Introduction to Shape and Topology Optimization 3 ECTS credits
- UE Refresh courses
- UE GPU Computing 6 ECTS credits
- UE Differential Calculus, Wavelets and Applications 6 ECTS credits
- UE Optimal transport: theory, applications and related numerical methods 6 ECTS credits
- UE Fluid Mechanics and Granular Materials 6 ECTS credits
- UE Handling uncertainties in (large-scale) numerical models 6 ECTS credits
- UE Temporal, spatial and extreme event analysis 6 ECTS credits
- UE Advanced Machine Learning: Applications to Vision, Audio and Text 6 ECTS credits
- UE Natural Language Processing & Information Retrieval 6 ECTS credits
- UE From Basic Machine Learning models to Advanced Kernel Learning 6 ECTS credits
- UE Mathematical Foundations of Machine Learning 3 ECTS credits
- UE Statistical learning: from parametric to nonparametric models 6 ECTS credits
- UE Learning, Probabilities and Causality 6 ECTS credits
- UE Efficient methods in optimization 3 ECTS credits
- UE Data Science Seminars and Challenge 6 ECTS credits
- UE Quantum Information & Dynamics 6 ECTS credits
- UE Numerical Mechanics 6 ECTS credits
- UE Computational biology 3 ECTS credits
- UE Research projects 30 ECTS credits
Registration and scholarships
Registration and scholarships
Access condition
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 master 1st year or directly to second year.
- Admission in 1st year : Anyone holding a 3rd year licence 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 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 / Application
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
Prerequisites
Language requirements :
-
Students are required to provide evidence of Competence in English.
English scores required for the 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
Candidature / Application
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.
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Contacts
Program director
Boris Thibert
Sana Louhichi
Christophe Picard
Sylvain Meignen
Program administration
Bérengère Duc
Elise Ros
In brief
Discipline : Computer Science, Mathematics, Information and Communication Sciences and Technologies, EngineeringProgramme type(s) : Initial and Continuing Education
Language(s) : English, French
Location(s) : Grenoble - University campus
International dimension : Yes
Duration of studies : 2 years
Required entry level : Baccalaureate +3