M2 Mechatronics, Machine Vision and Artificial Intelligence

Candidater à la formation
  • Capacité d'accueil
    30
  • Langue(s) d'enseignement
    Anglais
  • Régime(s) d'inscription
    Formation initiale
Présentation
Objectifs pédagogiques de la formation

Our Mechatronics Machine Vision and Artificial intelligence Msc aims at providing hands-on learning experiences to students interested in a career in research-oriented institutions or pioneering technology companies on mechatronics, machine vision, and artificial intelligence.

Pré-requis, profil d’entrée permettant d'intégrer la formation

A minimum of four year university degree in either Computer Science, Electrical, or Mechanical/Mechatronics  Engineering. Recognized international qualification would be considered as well.

Compétences
  • The ability to analyse, propose and develop integrated Mechatronics systems.

    Developing control algorithms for Mechatronics systems.

    Understanding and developing machine learning and computer vision systems.

Profil de sortie des étudiants ayant suivi la formation

Mechatronics engineer

Artificial intelligence engineer

Computer vision engineer

Débouchés de la formation
The MMVAI Msc gives hands-on learning experiences. It is suitable for students who are interested to built a career in academia about mechatronics, machine learning and computer vision : 
Phd thesis  (Industrial or academic funding)
Research engineer
Research leader
 
As well as specialized companies in mechatronics, machine learning and computer vision :
Pioneering technology leader
Head of design office
Design engineer
Collaboration(s)
Laboratoire(s) partenaire(s) de la formation

IBISC (Computer Science, Bio-Informatics and Complex Systems laboratory)

Programme
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Machine learning 3 14 8 8
Advances in Machine Vision 3 14 8 8
Research project 5 10 0 40
International keynote speaker 1 10 0 0
FLE 1.5 15 0 0
Strategy & Business Development 1.5 15 0 0
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Reinforcement learning and AI 3 14 8 8
Image and video Processing 3 14 8 8
Virtual and mixed reality 3 14 8 8
3D data analysis 3 14 8 8
Computer vision for non conventional cameras 3 14 8 8
Computer Vision state of the art 3 14 8 8
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Modeling of parallel manipulators 3 14 8 8
Advances in mecatronic systems 3 14 8 8
Research project 5 10 0 40
International keynote speaker 1 10 0 0
FLE 1.5 15 0 0
Strategy & Business Development 1.5 15 0 0
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Advanced control systems 3 14 8 8
Robotic Systems Architectures and Programming 3 14 8 8
Adaptive Assistance and Control 3 12 9 6
Biorobotics 3 12 9 6
Programation 3 14 8 8
Instrumentation electronics 3 14 8 8
MEMS-NANO 3 0 12 8
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Internship 30 0 0 0
The program of the M2 MMVAI is about: 

Mechatronics Major
Modeling of parallel manipulators    Mechatronics (compulsory for Mechatrnocs)
Advances in mecatronic systems    Mechatronics (compulsory for Mechatronics)
Research project    (compulsory for Mechatronics)
Advanced control systems    (Optional)
Robotic Systems Architectures and Programming    (Optional)
Adaptive Assistance and Control.    (Optional)
Biorobotics    (Optional)
Interactive robotics    (Optional)
Instrumentation electronics    (Optional)
MEMS-NANO    (Optional)

Vision Major
Machine learning    (compulsory for vision)
Advances in Machine Vision (compulsory for vision)
Research project (compulsory for both majors)
Reinforcement learning and AI    (Optional)
Image and video Processing    (Optional)
Virtual and mixed reality    (Optional)
3D data analysis    (Optional)
Computer vision for non conventional cameras    (Optional)
Computer Vision state of the art    (Optional)
Modalités de candidatures
Période(s) de candidatures
Du 15/02/2021 au 15/07/2021
Du 15/08/2021 au 31/08/2021
Pièces justificatives obligatoires
  • Curriculum Vitae.

  • Tous les relevés de notes des années/semestres validés depuis le BAC à la date de la candidature.

  • Lettre de motivation.

  • 2nde lettre de recommandation (obligatoire pour les candidats ayant déjà été inscrits dans l'enseignement supérieur français auparavant).

Pièces justificatives complémentaires
  • Dossier VAPP (obligatoire pour toutes les personnes demandant une validation des acquis pour accéder à la formation).

  • Attestation de niveau d'anglais (obligatoire pour les non anglophones).

Contact(s)
Responsable(s) de la formation
Secrétariat pédagogique
Marie-Laure Marchand - marielaure.marchand@univ-evry.fr