Presentation

Programme strengths

The research community on which this training is based is internationally recognized and has significant visibility.

International dimension :

Targeted skills

Partnerships:

Accredited establishment(s)

• Polytechnic Institute of Grenoble

Programme

Master MoSIG 1st year

• Semester 7
  • -UE Programming language and compiler design 66h - 6 ECTS credits
  • -UE Software engineering 30h - 3 ECTS credits
  • -UE Principles of operating systems 66h - 6 ECTS credits
  • -UE Algorithms and program design 33h - 3 ECTS credits
  • -UE Mathematics for computer science 36h - 3 ECTS credits
  • -UE Introduction to visual computing 33h - 3 ECTS credits
  • -UE Technical writing and speaking 27h - 3 ECTS credits

  1 option (s) to choose from 2

  • -UE Programming project (OS) 3 ECTS credits
  • -UE Programming project (Compiler design) 3 ECTS credits
• Semester 8
  • -UE Research project (TER) 3 ECTS credits
  • -UE Research methodology 7,5h - 3 ECTS credits

  8 option (s) to choose from 12

  • -UE Introduction to modeling and verification of digital systems 30h - 3 ECTS credits
  • -UE Operations research 36h - 3 ECTS credits
  • -UE Data base foundations 36h - 3 ECTS credits
  • -UE Introduction to distributed systems 33h - 3 ECTS credits
  • -UE Human computer interaction 36h - 3 ECTS credits
  • -UE Intelligent systems: reasoning and recognition 36h - 3 ECTS credits
  • -UE Computer networks principles 36h - 3 ECTS credits
  • -UE 3D graphics 36h - 3 ECTS credits
  • -UE Robotics and IoT 33h - 3 ECTS credits
  • -UE Introduction to cryptology 36h - 3 ECTS credits
  • -UE Parallel algorithms and programming 33h - 3 ECTS credits
  • -UE Fundamental computer science 30h - 3 ECTS credits

Master MoSIG-AISSE 2nd year

• Semester 9
  • -UE Architecture : components and services 18h - 3 ECTS credits
  • -UE Model driven engineering 18h - 3 ECTS credits
  • -UE Process engineering 18h - 3 ECTS credits
  • -UE Verification and test theories 18h - 3 ECTS credits
  • -UE Data management in large-scale distributed systems 18h - 3 ECTS credits

  4 option (s) to choose from 5

  • -UE Temporal and spatial informations 18h - 3 ECTS credits
  • -UE Software mining and re-engineering 18h - 3 ECTS credits
  • -UE Information access and retrieval 18h - 3 ECTS credits
  • -UE Engineering human-computer interaction 36h - 6 ECTS credits
  • -UE Scientific methodology and performance evaluation 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-AIW 2nd year

• Semester 9
  • -UE Knowledge representation and reasoning 36h - 6 ECTS credits
  • -UE Semantic Web : from XML to OWL 36h - 6 ECTS credits
  • -UE Machine learning fundamentals 18h - 3 ECTS credits
  • -UE Advanced algorithms for machine learning and data mining 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-GVR 2nd year

• Semester 9
  • -UE Computer graphics II 36h - 6 ECTS credits
  • -UE Autonomous robotics 36h - 6 ECTS credits
  • -UE Computer vision 36h - 6 ECTS credits

  3 option (s) to choose from 7

  • -UE Medical imaging, simulation and robotics 18h - 3 ECTS credits
  • -UE Computational geometry 18h - 3 ECTS credits
  • -UE Human-centered interaction 36h - 6 ECTS credits
  • -UE Scientific methodology and performance evaluation 18h - 3 ECTS credits
  • -UE Machine learning fundamentals 18h - 3 ECTS credits
  • -UE Machine Learning for Computer Vision and Audio Processing 18h - 3 ECTS credits
  • -UE Numerical optimal transport and geometry 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-DI 2nd year

• Semester 9
  • -UE Parallel systems 36h - 6 ECTS credits
  • -UE Advanced aspects of operating systems 36h - 3 ECTS credits
  • -UE Advanced data networks 36h - 6 ECTS credits
  • -UE Software infrastructure of data centers and Cloud computing 18h - 3 ECTS credits

  3 option (s) to choose from 4

  • -UE Scientific methodology and performance evaluation 18h - 3 ECTS credits
  • -UE Wireless networks 18h - 3 ECTS credits
  • -UE Distributed system 18h - 3 ECTS credits
  • -UE Security architecture : network, system, key management, cybersecurity of industrial IT 78h - 6 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-HECS 2nd year

• Semester 9
  • -UE Verification and test theories 18h - 3 ECTS credits
  • -UE Models and languages for model checking 18h - 3 ECTS credits
  • -UE SAT / SMT solving 18h - 3 ECTS credits
  • -UE Analysis and verification of sequential programs 36h - 6 ECTS credits

  3 option (s) to choose from 4

  • -UE Requirements engineering 18h - 3 ECTS credits
  • -UE Industrial processes for high-confidence design 36h - 6 ECTS credits
  • -UE Advanced algorithms for machine learning and data mining 18h - 3 ECTS credits
  • -UE Probabilistics, timed and hybrid systems 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-UIS 2nd year

• Semester 9
  • -UE Human-centered interaction 36h - 6 ECTS credits
  • -UE Engineering human-computer interaction 36h - 6 ECTS credits
  • -UE Information visualization 18h - 3 ECTS credits

  3 option (s) to choose from 3

  • -UE Computer vision 36h - 6 ECTS credits
  • -UE Machine learning fundamentals 18h - 3 ECTS credits
  • -UE Scientific methodology and performance evaluation 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Master MoSIG-Data Sciences 2nd year

• Semester 9
  • -UE Data management in large-scale distributed systems 18h - 3 ECTS credits
  • -UE Convex and distributed optimization 18h - 3 ECTS credits
  • -UE High performance computing for mathematical models 18h - 3 ECTS credits
  • -UE Fundamentals of probabilistic data mining 18h - 3 ECTS credits
  • -UE Machine learning fundamentals 18h - 3 ECTS credits
  • -UE Advanced algorithms for machine learning and data mining 18h - 3 ECTS credits
  • -UE Distributed system 18h - 3 ECTS credits

  2 option (s) to choose from 8

  • -UE Information visualization 18h - 3 ECTS credits
  • -UE Information access and retrieval 18h - 3 ECTS credits
  • -UE Machine Learning for Computer Vision and Audio Processing 18h - 3 ECTS credits
  • -UE Data challenges 18h - 3 ECTS credits
  • -UE Model selection for large-scale learning 18h - 3 ECTS credits
  • -UE Computational biology 18h - 3 ECTS credits
  • -UE Data science seminar 18h - 3 ECTS credits
  • -UE Numercial optimal transport and geometry 18h - 3 ECTS credits
• Semester 10
  • -UE Research project 30 ECTS credits

Practica, projects, and missions

A mandatory practicum or research project of 4 to 6 months is carried out in the second semester. It can be done in a research laboratory but also in the R&D department of a company. In this case, a teacher-researcher of the training tutors the practicum and ensures the training in the research provided. This research project allows for good immersion in the world of research, the discovery of the research profession and the preliminary contacts for the eventual pursuit of a thesis.

Registration and scholarships

Entrance requirements

The first year of master's degree is accessible on file (and / or interview) to candidates with a national diploma conferring the degree of license in a field compatible with that of the master or via a validation of studies or acquired according to the conditions determined by the university or training. The second year master's is accessible to candidates according to their transcripts (and/or interview) :

• Having validated the first year of a compatible course
• Or by validating studies or acquired experience according to the conditions determined by the university or the training.

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

Would you like to apply and register ? Be aware that the procedure differs depending on the diploma, the degree obtained, or the place of residence for foreign students.

•  You are a candidate who is not a citizen of the European Union, residing in Algeria, Argentina, Benin, Brazil, Burkina Faso, Cameroon, Chile, China, Colombia, Comoros, Congo, South Korea, Ivory Coast, Egypt, United States, Gabon, Guinea, India, Indonesia, Iran, Japan, Lebanon, Madagascar, Mali, Morocco, Mauritius, Mauritania, Mexico, Peru, Russia, Senegal, Syria, Taiwan, Togo, Tunisia, Turkey, Vietnam.

Candidate on studies in France and on FSA

For the other applicants : Candidate

And after

Further studies

Ph.D.

Sectors of activity

Research and higher education, research and development

Vocational placement