M2 Control, Signal and Image Processing

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  • Places available
  • Language(s) of instruction
    French, English

The objective of this curriculum is to train students to address academic and industrial research topics of a high scientific level in the domains of systems and control, signal and image processing. The courses focus on methodological foundations and recent developments in these fields, which intervene directly or indirectly in many disciplines such as optics, medicine, robotics, energy, automotive... The curriculum also trains student to research work through dedicated teaching initiatives (seminars, bibliographic work, project, etc.) and a strong involvement of the associated research laboratories.

Students who follow this curriculum will have job opportunities in academic research as well as in industry. They will be able to pursue research training in the form of doctoral studies in academic or industrial environments (CIFRE thesis). They also will be able to work immediately as research engineer within industry R & D teams and specialized laboratories with needs in the areas of automation and control systems, signal and image processing or data science.

This program has a dual objective: to prepare students for their doctorate and to provide them with the necessary elements to help them advance new areas of scientific research. The curriculum covers the main scientific themes that concern university laboratories and industrial companies dealing with automatic control and signal processing. It teaches the basics of methodology and recent theoretical or applied developments. These developments, which are in constant evolution, directly or indirectly intervene in numerous disciplines such as optical, electronics, statistics, economics, medicine, robotics, energy, etc.

Course Prerequisites

The Automatic and Signal and Image Processing (ATSI) study path is part of Université Paris-Saclay's E3A programme. This study path is also open to students beginning their second year, particularly those on dual courses with engineering schools (CentraleSupélec, IOGS), or students from other national or international courses. It is thus aimed at students with a solid grounding in engineering, who demonstrate particularly good command and understanding of the theoretical aspects. It is also open to mathematics and possibly computer science students who are especially inclined towards the subject.

  • Analyse a complex dynamic system in terms of stability, performance, robustness.

  • Choose a command architecture and generate a command according to objectives of stability, optimality, robustness.

  • Analyse and model a physical system as a signal or image processing problem.

  • Understand different reconstruction algorithms and be able to recognize and implement the one most suited to the problem.

  • Be able to analyse a scientific article or presentation and grasp its underlying issues as well as its limits.

  • Be able to formalise and solve an optimisation problem.

Post-graduate profile

Graduates of this programme will be experts in the fields of automation and system control and/or signal and image processing in the broad sense. They will have not only covered the basics in these areas but also followed more advanced courses on topical issues in these areas. They will also have received research training and acquired transversal skills in mathematics and computer science, as well as in English.

Career prospects

Students who have followed this course will have job opportunities in teaching and research as well as in industry. Some of the students will be able to further their research training in the form of doctoral theses in academic or industrial environments (CIFRE thesis). Others will be able to take up posts as research engineers in R&D teams in industry and at laboratories specialising in needs in the fields of automation and systems control, signal and image processing, or data science in the broad sense.


Laboratoire des Signaux et Systèmes
Systèmes et Applications des Technologies de l'Information et de l'Energie
Laboratoire Charles Fabry
Centre de Vision Numérique.


Le S1 est constitué d'une UE de remise en forme, d'un groupe d'ECTS au choix et d'une initiation à la recherche.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Outils mathématiques pour l'automatique, le traitement du signal et des images 2 24
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Traitement du signal et systèmes d'imagerie 4 18 9
Stabilité des systèmes non-linéaires 4 24
Représentation des signaux et codage parcimonieux 4 18 9
Optimisation 4 15 13.5
Estimation 4 24
Commande robuste des systèmes linéaires 4 20 6
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Initiation à la recherche 6 24

Le S2 est composé d'un groupe d'ECTS au choix et d'un stage.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Systèmes multi-agents 4 18 9
Systèmes hybrides 4 18 9
Problèmes inverses 4 18 9
Méthodes avancées en traitement d'image 4 18 9
Imagerie médicale 4 18 9
Estimation robuste pour le traitement du signal 4 20 6
Contrôle pour la robotique 4 24
Contrôle et propriétés structurelles des systèmes non-linéaires 4 24
Commande prédictive 4 18 9
Apprentissage automatique 4 12 18
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Stage 20
Modalités de candidatures
Application period
From 15/02/2020 to 05/09/2020
Compulsory supporting documents
  • Curriculum EU (description of the units of education followed) of the last two years.

  • Curriculum Vitae.

  • Motivation letter.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

Additional supporting documents
Administrative office