Space applications
training courses

Master 2 Aéronautique et spatial : Mécanique, Automatique, Energétique (AS-MAE)

• Organisations :
  • CentraleSupélec
    (Université Paris-Saclay)
  • Université Paris-Saclay
    (Université Paris-Saclay)
• Way of training : Initial education
• Language(s): French
• Place: campus de Gif-sur-Yvette (French Regions: Ile-de-France)
• Prepared diploma/grade/title: Master or DNM: French National Master Degree
• 1st required level : French baccalauréat + 4

Course Details

Objectives : The Master 2 "Aeronautics and Space: mechanical, Automatic, energetic" is a training through research, both fundamental and multidisciplinary and oriented towards the aerospace sector, thus offering a very disciplinary spectrum Complete and requested both in doctoral training and in the private sector: aerodynamics, flight dynamics, propulsion, numerical simulation, signal processing, control and applied mathematics. She is interested in various applications: launchers, satellites, drones, turbo-engines, missiles... It prepares the research professions in this competitive sector, linked, among other things, with an industrial fabric well established in the island of France in particular and in France in general.
This training consists of two sub-goals, each focusing on different objectives:
-The mechanical and energetic subpurpose: The main purpose of which is the fields of mechanics and energy and their applications to the aeronautical and spatial fields
-The automatic subpurpose: The main purpose of which is the automatic and the processing of the signal and their applications in the aeronautical and spatial fields

Public concerned : studeints

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

Duration and terms : 2 semesters

Dedicated web site : https://www.universite-paris-saclay.fr/formation/master/energie/m2-aeronautique-et-spatial-mecanique-automatique-energetique

Space Technologies and Scientific Disciplines

• Robotics and autonomous systems (Control systems, guidance, navigation...)
• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)