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Aerospace Education Catalogue

Master Sciences, Technologies, Santé Mention : Electronique, Electrotechnique, Automatique

  • Organisation: Faculté des Sciences de l'Université de Montpellier
    (Université de Montpellier)
  • Type of Course: Initial education - Sandwich/Apprenticeship training
  • Language(s): French
  • Place: Montpellier Faculté des Sciences (French Regions: Occitanie)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 3
  • This training is included in RNCP / RS

Course Details

Objectives: To provide students with a solid theoretical and professional foundation in the disciplines of EEA in the broad sense.
M1 training remains generalist. It is based on modules covering a wide spectrum of fields associated with the EEA, on the one hand, and some specialization modules depending on the course chosen.
M2 training provides the student with in-depth scientific and professional training. It is based on more specific modules providing the student with the skills necessary to master the fields of the specialty.

Specialities:
- Sensors, Electronics & Connected Objects (CEO): Manager Brice SORLI
- Electrical Energy, Environment and Reliability of Systems (3EFS): Manager Philippe ENRICI
- Photonics, Microwaves & Communication Systems (PHyS): Managers Luca VARANI and Stephane BLIN
- Robotics (Rob): Managers Andréa CHERUBINI, Salih ABDELAZIZ
- Integrated & Embedded Electronic Systems (SEIE): Manager Arnaud VIRAZEL
- Radiation and its Effects on MicroElectronics and Photonics Technologies (RADMEP): Managers Frédéric Saigne and Frédéric WROBEL

Intended for: Students

Degree Level (EU) : 7 - (EQC level or equivalent)

Admission requirements: See training web site

Duration and terms: 2 Years

Dedicated web site: https://eea-fds.edu.umontpellier.fr/master-eea/

Disciplines

  • Engineering Sciences

Topics

  • 8 - Electronics Systems : Analog and digital functions, Components, Microelectronics, Integrated Circuits, Samplers, ASIC/FPGA, Digital Signal Processors, Nanotechnologies
  • 9 - Microwave and Photonics: Radiofrequency Functions, Propagation, Antennas, MIMO, Metasurfaces, Terrahertz, Optics, Optoelectronics, Laser, Photonic Circuits, Plasmonics, Quantum Technologies...
  • 10 - Control Systems and Robotics: Linear systems, Identification, Optimization, Command and Control, Filtering, Non-linear Systems, Autonomous systems...
  • 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.