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Aerospace Education Catalogue

Ingénieur ENSISA automatique et systèmes embarqués

  • Organisation: ENSISA
    (Université de Haute-Alsace, Mulhouse-Colmar)
  • Type of Course: Initial education - Sandwich/Apprenticeship training
  • Language(s): French
  • Place: Mulhouse (68) (French Regions: Grand-Est)
  • Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
  • Level of entry: French Baccalaureat + 2
  • This training is included in RNCP / RS

Course Details

Objectives: The Automation and Embedded Systems (ASE) engineering specialty enables student engineers to know how to instrument, optimize and control dynamic systems, process data or, for example, develop embedded systems. Throughout his studies, he obtains a solid foundation in electronics, energy and automation, but also in computer and mechanical engineering. The ASE specialty trains generalist, multidisciplinary engineers capable of working with and for innovative technologies mainly intended for applications in the automotive, aeronautics and processing industry sectors.

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

Duration and terms: The engineering students who follow their 3rd year under a professionalization contract, carry out their end-of-year project in a company in conjunction with the school's teaching teams and their company tutor.

Dedicated web site: https://www.ensisa.uha.fr/formations/ecole-ingenieur-automatique-et-systemes-embarques/

Disciplines

  • Engineering Sciences

Topics

  • 3 - Mechanical Engineering (structures, structural dynamics…), Materials (composites, metallurgy, forming…), Processes, Chemistry, Mechatronics
  • 7 - Electrical systems (generation, storage and management of energy), Actuators, Microsystems
  • 8 - Avionics and on-board Systems (embedded networks, sensors, instrumentation, etc.), Real-time Systems
  • 9 - Electronics, Microelectronics, Microwaves, Propagation, Antennas, Radar, Optics, Optronics
  • 10 - Control Systems, Robotics, Guidance and Control, Autonomous Systems
  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence