Presentation

International dimension :

The 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)

• Multidisciplinary Institute in Artificial intelligence

Programme

Program under construction - awaiting CFVU vote

Master industrial and applied math 1st year

• Semester 7
  • -UE Object-oriented and software design 3 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
  • -UE English
  • -UE Applied probability and statistics 6 ECTS credits
  • -UE Systèmes dynamiques 3 ECTS credits
  • -UE Dynamiques des fluides turbulents 3 ECTS credits
  • -UE Instabilities and Turbulences 3 ECTS credits
• 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 Operations research 3 ECTS credits
  • -UE Introduction to cryptology 3 ECTS credits
  • -UE 3D graphics 3 ECTS credits
  • -UE Turbulences 6 ECTS credits
  • -UE Statistical analysis and document mining 6 ECTS credits
  • -UE Variational methods applied to modelling 6 ECTS credits

Master MSIAM modeling, scientific computing and image analysis (MSCI) 2nd year

• Semester 9
  • -UE Modeling seminar and projects 6 ECTS credits
  • -UE Advanced imaging 3 ECTS credits
  • -UE Wavelets and applications 3 ECTS credits
  • -UE Efficient methods in optimization 3 ECTS credits
  • -UE Software development tools and methods 3 ECTS credits
  • -UE Model exploration for approximation of complex 3 ECTS credits
  • -UE GPU Computing 6 ECTS credits
  • -UE Geophysical 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 Refresh courses
  • -UE Non-smooth convex optimization methods 3 ECTS credits
  • -UE Level set methods and optimization algorithms with applications in imaging 3 ECTS credits
  • -UE Numerical optimal transport and geometry 3 ECTS credits
• Semester 10
  • -UE Research projects 30 ECTS credits

Master MSIAM data science (DS) 2nd year

• Semester 9
  • -UE Temporal and spatial point process 3 ECTS credits
  • -UE Wavelets and applications 3 ECTS credits
  • -UE Efficient methods in optimization 3 ECTS credits
  • -UE Software development tools and methods 3 ECTS credits
  • -UE Modeling seminar and projects 6 ECTS credits
  • -UE Data science seminar 3 ECTS credits
  • -UE Model exploration for approximation of complex 3 ECTS credits
  • -UE Model selection for large-scale learning 3 ECTS credits
  • -UE GPU Computing 6 ECTS credits
  • -UE An Introduction to Shape and Topology Optimization 3 ECTS credits
  • -UE Introduction to extreme value analysis 3 ECTS credits
  • -UE Fundamentals of probabilistic data mining 3 ECTS credits
  • -UE Machine learning fundamentals 3 ECTS credits
  • -UE Advanced algorithms for machine learning and data mining 3 ECTS credits
  • -UE Information access and retrieval 3 ECTS credits
  • -UE Refresh courses
  • -UE Statistical methods for forecasting 3 ECTS credits
  • -UE Kernel methods for machine learning 3 ECTS credits
  • -UE Computational biology 3 ECTS credits
  • -UE Reinforcement learning 3 ECTS credits
  • -UE Numerical optimal transport and geometry 3 ECTS credits
  • -UE Inverse problem and data assimilation: variational and Bayesian approaches 3 ECTS credits
  • -UE Non-smooth convex optimization methods 3 ECTS credits
• Semester 10
  • -UE Research projects 30 ECTS credits

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 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