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Master in Computer science
Master of Science in Informatics at Grenoble (MoSIG)
Presentation and goals
The training covers a wide spectrum at the level of the first year master's trains graduates with a general education and foundation solid in computer science (in terms of programming languages, databases, networks, software engineering, object-oriented design/programming, complexity, and interactive software) ; the second year of the master's allows students to acquire organizational skills related to research work and to become specialized in a field of computer science in connection with the numerous options offered (Information systems and advanced software engineering, Human-centred computer science - design of highly reliable embedded and cyberphysical systems, artificial Intelligence and web - graphics, vision, and robotics, interactive and ubiquitous systems, and embedded, parallel, and distributed systems). The objective is to give the necessary foundations for a job in research and development as well as to undertake a thesis in Computer science in the fields covered by academic and industrial laboratories.
The aim of the course is to carry out high-level training in computer science for teaching, research, engineering, and development.
Presentation
Presentation
Further information
The research community on which this training is based is internationally recognized and has significant visibility.
International dimension :
Internationally-oriented programmesPartnerships:
Accredited organizational unit(s)
- Polytechnic Institute of Grenoble
Programme
Programme
- Semester 7
- UE Programming language and compiler design 6 ECTS credits
- UE Software engineering 3 ECTS credits
- UE Principles of operating systems 6 ECTS credits
- UE Algorithms and program design 3 ECTS credits
- UE Mathematics for computer science 3 ECTS credits
- UE Introduction to visual computing 3 ECTS credits
- UE Technical writing and speaking 3 ECTS credits
- UE Programming project (OS) 3 ECTS credits
- UE Programming project (Compiler design) 3 ECTS credits
1 option (s) to choose from 2
- Semester 8
- UE Research project (TER) 3 ECTS credits
- UE Research methodology 3 ECTS credits
- UE Introduction to modeling and verification of digital systems 3 ECTS credits
- UE Operations research 3 ECTS credits
- UE Data base foundations 3 ECTS credits
- UE Introduction to distributed systems 3 ECTS credits
- UE Human computer interaction 3 ECTS credits
- UE Intelligent systems: reasoning and recognition 3 ECTS credits
- UE Computer networks principles 3 ECTS credits
- UE 3D graphics 3 ECTS credits
- UE Robotics and IoT 3 ECTS credits
- UE Introduction to cryptology 3 ECTS credits
- UE Parallel algorithms and programming 3 ECTS credits
- UE Fundamental computer science 3 ECTS credits
8 option (s) to choose from 12
- Semester 9
- UE Architecture : components and services 3 ECTS credits
- UE Model driven engineering 3 ECTS credits
- UE Process engineering 3 ECTS credits
- UE Verification and test theories 3 ECTS credits
- UE Data management in large-scale distributed systems 3 ECTS credits
- UE Temporal and spatial informations 3 ECTS credits
- UE Software mining and re-engineering 3 ECTS credits
- UE Information access and retrieval 3 ECTS credits
- UE Engineering human-computer interaction 6 ECTS credits
- UE Scientific methodology and performance evaluation 3 ECTS credits
4 option (s) to choose from 5
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Knowledge representation and reasoning 6 ECTS credits
- UE Semantic Web : from XML to OWL 6 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 Natural language and speech processing 3 ECTS credits
- UE Multi-agent systems 3 ECTS credits
- UE Information visualization 3 ECTS credits
4 option (s) to choose from 4
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Computer graphics II 6 ECTS credits
- UE Autonomous robotics 6 ECTS credits
- UE Computer vision 6 ECTS credits
- UE Medical imaging, simulation and robotics 3 ECTS credits
- UE Computational geometry 3 ECTS credits
- UE Human-centered interaction 6 ECTS credits
- UE Scientific methodology and performance evaluation 3 ECTS credits
- UE Machine learning fundamentals 3 ECTS credits
- UE Machine Learning for Computer Vision and Audio Processing 3 ECTS credits
- UE Numerical optimal transport and geometry 3 ECTS credits
3 option (s) to choose from 7
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Advanced aspects of operating systems 3 ECTS credits
- UE Advanced data networks 6 ECTS credits
- UE Software infrastructure of data centers and Cloud computing 3 ECTS credits
- UE Scientific methodology and performance evaluation 3 ECTS credits
- UE Wireless networks 3 ECTS credits
- UE Distributed system 3 ECTS credits
- UE Security architecture : network, system, key management, cybersecurity of industrial IT 6 ECTS credits
3 option (s) to choose from 4
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Verification and test theories 3 ECTS credits
- UE Models and languages for model checking 3 ECTS credits
- UE SAT / SMT solving 3 ECTS credits
- UE Analysis and verification of sequential programs 6 ECTS credits
- UE Requirements engineering 3 ECTS credits
- UE Industrial processes for high-confidence design 6 ECTS credits
- UE Advanced algorithms for machine learning and data mining 3 ECTS credits
- UE Probabilistics, timed and hybrid systems 3 ECTS credits
3 option (s) to choose from 4
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Human-centered interaction 6 ECTS credits
- UE Engineering human-computer interaction 6 ECTS credits
- UE Information visualization 3 ECTS credits
- UE Computer vision 6 ECTS credits
- UE Machine learning fundamentals 3 ECTS credits
- UE Scientific methodology and performance evaluation 3 ECTS credits
3 option (s) to choose from 3
- Semester 10
- UE Research project 30 ECTS credits
- Semester 9
- UE Data management in large-scale distributed systems 3 ECTS credits
- UE Convex and distributed optimization 3 ECTS credits
- UE High performance computing for mathematical models 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 Distributed system 3 ECTS credits
- UE Information visualization 3 ECTS credits
- UE Information access and retrieval 3 ECTS credits
- UE Machine Learning for Computer Vision and Audio Processing 3 ECTS credits
- UE Data challenges 3 ECTS credits
- UE Model selection for large-scale learning 3 ECTS credits
- UE Computational biology 3 ECTS credits
- UE Data science seminar 3 ECTS credits
- UE Numercial optimal transport and geometry 3 ECTS credits
2 option (s) to choose from 8
- Semester 10
- UE Research project 30 ECTS credits
Master MoSIG 1st year
Master MoSIG-AISSE 2nd year
Master MoSIG-AIW 2nd year
Master MoSIG-GVR 2nd year
Master MoSIG-DI 2nd year
Master MoSIG-HECS 2nd year
Master MoSIG-UIS 2nd year
Master MoSIG-Data Sciences 2nd year
Practica, projects, and missions
Internship: MandatoryDuration: 4 to 6 months
Internship abroad: In France or abroad
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
Registration and scholarships
Access condition
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 / Application
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
Expenses
Tuition fees 2019-2020 : 243 €
And after
And after
Further studies
Ph.D.
Sectors of activity
Research and higher education, research and development
Vocational placement
During the 2014-2015 survey, 2 graduates are in the labor market (job + research). Of these, 100% are employed 30 months after graduation.Candidature / Application
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
Download
Contacts
Program director
Massih-Reza Amini
James Crowley
Program administration
In brief
Discipline : Computer Science, Mathematics, Information and Communication Sciences and TechnologiesProgramme type(s) : Initial and Continuing Education
Language(s) : English, French
Location(s) : Grenoble - University campus
Duration of studies : 2 years
Required entry level : Baccalaureate +3