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Aerospace Education Catalogue

Ingénieur ENSEA

  • Organisation: ENSEA
  • Type of Course: Initial education
  • Language(s): French
  • Place: Cergy Pontoise (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
  • Level of entry: French Baccalaureat + 2

Course Details

Objectives: The ENSEA engineering training allows you to differentiate yourself through specialization in the area of ??expertise of your choice, thanks to in-depth courses and practical projects.

In the 3rd year, the school offers you 8 specialties to choose from, each made up of 5 modules. This personalized teaching reinforces the skills acquired in previous years and allows you to stand out among companies: at the end of this year of specialization, you are recognized as a general engineer, an expert in your field.

Among these specialties, ENSEA offers:
Automation and Industrial Electronics (AEI)
Electronics of communications systems (ESC)
Mechatronics and complex systems (MSC)
Signal and Artificial Intelligence (SIA)
Electronics and Embedded Systems (ESE)

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

Dedicated web site: https://www.ensea.fr/fr/ingenieur-ensea-devenez-expert-grace-la-3eme-annee-de-specialisation-32

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

  • 7 - Embedded/Cyberphysical Systems: Embedded Networks, Real Time Systems, Formal Methods, Embedded Software, Avionics, Instrumentation...
  • 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.