Master in Signal and image processing

Presentation and goals

Course co-accredited by the National Polytechnic Institute of Grenoble (Grenoble INP) and Université Grenoble Alpes

This master takes into account developments in techniques and knowledge in the field of signal and image processing. In particular, it offers an approach with a greater focus on tools for modelling, analysing and formatting information, enabling the transition to the massive data scale.

This master offers one programme: Signal & Image Processing Methods and Applications (SIGMA)

The course will benefit from the resources of the CEA-GIPSA "common laboratory" (CEA/Grenoble-INP framework agreement), which has been active since 2008. This project has already resulted in the creation of more than eight areas of cooperation, which have led to more than 10 doctorates being supported.

The master's strong foundation within the Université Grenoble Alpes and the SICOM engineering course of the Grenoble INP-ENSE3 and PHELMA components enables the shared organisation of exchanges, lectures and seminars offered by the industrial partners of the engineering courses (Thalès, Trixel, STMicro, EDF, Areva, etc.).

Two representatives from the world of R&D (if possible from companies with a broad international base) will be invited to participate in the training development committee.

- Doctorate in the field of ICST

- Employment in R&D in the industrial sector, in SIP or information science



Programme strengths

  • The Master falls within the Data Sciences theme of the Université de Grenoble Alpes community's MSTIC cluster.
  • Involvement of local excellence laboratories: Persyval, Osug@2020
  • Involvement in regional initiatives: IXXI, SIERA
  • Main support laboratories: GIPSA-Lab (Grenoble), IPAG (Grenoble), LISTIC (Annecy), ENS-Lyon Physics Lab.
  • Partner laboratories: LJK, LIG, G2ELab, LTHE, LEGI.

International dimension :

Internationally-oriented programmes

The course has an international orientation, with 100% of the teaching for M2 provided in English. For foreign students enrolled in the M1, courses in French as a foreign language may be offered.
The training offer will be circulated to foreign universities that are already partners of ENSE3 and PHELMA in the framework of their engineering courses.

Targeted skills

Knowledge : The Master offers a single programme, while allowing students to substitute a course from the proposed curriculum by a course of their choice (subject to the agreement of the course manager). The skills acquired will therefore be based on a foundation common to all students, and are broken down into the following themes, right at the heart of data sciences: Modelling of Signals and Systems, Random Processes.

Accredited establishment(s)
  • University of Grenoble Alpes
Partner schools



Master 1: 

The very close cooperation between the M1 and the second year of the SICOM course means that it is not possible to guarantee that 100% of the teaching will be in English. All supporting documents will however be available in English.

Master 2:

12 ECTS shared with the third year of SICOM; these comprise the "basic" courses in the field. 3 ECTS can be replaced by courses selected from the Université Grenoble Alpes training offer, to be determined at the beginning of the year with the course managers. These must be courses in a scientific field related to the themes of the Master. More than just an introduction, these courses should help reinforce knowledge on more specific methodological aspects, related to SIP.
18 original ECTS, broken down into two fundamental modules (6 ECTS each) and one research introduction module (6 ECTS), established on the basis of a winter school and a cycle of seminars.
These modules that are not shared with SICOM (12 ECTS) are established on the basis of three courses. If agreed by their Master managers, the students will be able to replace one course in each module by an opening course from the other masters of the site (Sciences Co, MisCit, MSIAM, Astro, Geoscience).
All of the teaching and supporting documentation (100%) for the M2 is in English.
The M2 end-of-course internship (27 ECTS) and the language courses (3 ECTS) round off the training.

Practica, projects, and missions

Internship of 4 to 5 months (Semester 4)

Registration and scholarships

Registration and scholarships

Entrance requirements

To be accepted for a master 1, you must hold a bachelor degree (licence 3) or equivalent. To be accepted for a master 2, you must hold a master 1 degree or equivalent.

Your previous studies must be compatible with the master you wish to study.

The recruitment and registration conditions are stated for each speciality


See Grenoble INP website :

Maximum number of students

15 students in M1 and 15 to 20 students in M2

And after

And after

Further studies

Doctorate in the field of ICST

Sectors of activity

  • Modelling of Signals and Systems, Random Processes;
  • Formatting, extraction and analysis of information in complex observation systems: inverse problems, detection, statistical learning. Transition to the scale of large masses of data.
  • Applications in multi- and hyperspectral imaging, biomedical applications, neurosciences, astro, geosciences, etc.