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Master in Mathematics and applications
Master in 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.
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
Programme
Programme
- Semester 7
- UE Applied probability and statistics 6 ECTS credits
- UE Partial differential equations and numerical methods 6 ECTS credits
- UE Signal and image processing 6 ECTS credits
- UE Geometric modelling 6 ECTS credits
1 option (s) to choose from 2
- Semester 8
- UE Computing science for big data and HPC 6 ECTS credits
- UE Project 3 ECTS credits
- UE Internship 3 ECTS credits
- UE Numerical optimisation 6 ECTS credits
- UE Computer algebra and cryptology 6 ECTS credits
- UE Variational methods applied to modelling 6 ECTS credits
- UE 3D Graphics 3 ECTS credits
- UE Operations research 3 ECTS credits
2 option (s) to choose from 4
- Semester 9
- UE Advanced imaging 3 ECTS credits
- UE An introduction to shape and topology optimization 3 ECTS credits
- UE Congestion Phenomena and Compressibility for Granular Media 3 ECTS credits
- UE Efficient methods in optimization 3 ECTS credits
- UE Geophysical imaging 3 ECTS credits
- UE GPU Computing 3 ECTS credits
- UE Level set methods and optimization algorithms with applications in imaging 3 ECTS credits
- UE Model exploration for approximation of complex, high-dimensional problems 3 ECTS credits
- UE Modeling seminar and projects 6 ECTS credits
- UE Numerical optimal transport and geometry 3 ECTS credits
- UE Software development tools and methods 3 ECTS credits
- UE Wavelets and applications 3 ECTS credits
10 option (s) to choose from 12
- Semester 10
- UE MA research project 30 ECTS credits
- Semester 9
- UE Advanced algorithms for machine learning and data mining 3 ECTS credits
- UE An introduction to shape and topology optimization 3 ECTS credits
- UE Computational biology 3 ECTS credits
- UE Data science seminar 3 ECTS credits
- UE Efficient methods in optimization 3 ECTS credits
- UE Fundamentals of probalistic data mining 3 ECTS credits
- UE Geophysical imaging 3 ECTS credits
- UE GPU Computing 3 ECTS credits
- UE Information access and retrieval 3 ECTS credits
- UE Introduction to extreme-value analysis 3 ECTS credits
- UE Kernel methods for machine learning 3 ECTS credits
- UE Machine Learning for Computer Vision and Audio Processing 3 ECTS credits
- UE Machine learning fundamentals 3 ECTS credits
- UE Model exploration for approximation of complex, high-dimensional problems 3 ECTS credits
- UE Model selection for large-scale learning 3 ECTS credits
- UE Modeling seminar and projects 6 ECTS credits
- UE Numerical optimal transport and geometry 3 ECTS credits
- UE Software development tools and methods 3 ECTS credits
- UE Statistical methods for forecasting 3 ECTS credits
- UE Stochastic calculus and applications to finance 3 ECTS credits
- UE Wavelets and applications 3 ECTS credits
10 option (s) to choose from 21
- Semester 10
- UE MA research project 30 ECTS credits
Master Industrial and applied math 1st year
Master MSIAM-Modeling, Scientific Computing and Image analysis (MSCI) 2nd year
Master MSIAM-Data science 2nd year
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
Would you like to apply and register ? Please note that the procedure differs depending on the degree, the diploma obtained, or the place of residence for foreign students.
- You are a non-EU citizen, resident in (you live in one of these countries) :
Algeria, Argentina, Benin, Brazil, Burkina Faso, Cameroon, Chile, China, Colombia, Comoros, Congo, Egypt, Indonesia, Ivory Coast, Lebanon, Madagascar, Mali, Mauritania, Mauritius, Mexico, Morocco, Peru, Russia, Senegal, South Korea, Syria, Taiwan, Togo, Tunisia, Turkey, Vietnam.
Apply for studies in France and on FSA
For other applicants : Apply Now
Prerequisites
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
And after
And after
Vocational placement
In the 2014-2015 survey, 9 respondent graduates were in the labour market (employment+research). Of these, 100% were employed 30 months after graduation.Candidature / Application
Would you like to apply and register ? Please note that the procedure differs depending on the degree, the diploma obtained, or the place of residence for foreign students.
- You are a non-EU citizen, resident in (you live in one of these countries) :
Algeria, Argentina, Benin, Brazil, Burkina Faso, Cameroon, Chile, China, Colombia, Comoros, Congo, Egypt, Indonesia, Ivory Coast, Lebanon, Madagascar, Mali, Mauritania, Mauritius, Mexico, Morocco, Peru, Russia, Senegal, South Korea, Syria, Taiwan, Togo, Tunisia, Turkey, Vietnam.
Apply for studies in France and on FSA
For other applicants : Apply Now
Download
Contacts
Program director
Edouard Oudet
Pierre Etore
Program administration
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