Master 2 Techniques Spatiales et Instrumentation (M2P TSI)
- Organisations :
- Way of training : Initial education - Life-long learning
- Language(s): English , French
- Prepared diploma/grade/title: Certification (Professional certification)
- Location: Toulouse
- University entry level (number of years after undergraduate degree): 3
(3 4 means, for example, 3 or 4 years after Baccalaureat for France) - VAE (Validation of Acquired Experiences): Yes
Course Details
Objectives : L'objectif de ce master est de former des étudiants de physique qui deviendront les acteurs de demain dans le domaine des sciences et techniques spatiales. La formation fournit une vue d'ensemble des techniques spatiales, introduisant les contraintes de conception spécifiques aux véhicules spatiaux, leur développement, leurs tests et leurs opérations.
Concerned public : Etudiants
Admission requirements : Formation(s) requise(s)
- M1 physique (UT3 et autres Universités Françaises et étrangères)
- Ecoles d'ingénieurs
- Première année du Spacemaster (Erasmus +)
Targeted careers : Activités informatiques (génie logiciel, exploitation, maintenance, sécurité), Aéronautique espace, Robotique, industrie électronique & électrique, instrumentation, Télécommunications & réseaux
Duration and terms : 4 semestres
Notes : Afin de favoriser l'accueil d'étudiants non-francophones la quasi-totalité des cours est dispensée en anglais.
Dedicated web site : https://www.univ-tlse3.fr/master-parcours-techniques-spatiales-et-instrumentation-tsi
Training course responsible : pvb@irap.omp.eu
Nereus region representative : helene.perea@univ-tlse3.fr
Space or Aerospace Domains
- Conception, R&D, Exploration
- Production, quality, testing, project management
Space related thematics
- 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.
- 16 - Systems Engineering and Innovation: Modeling, Simulation, MBSE (model based system engineering), Operational Safety, Quality, Product Assurance, Qualification, Validation and Verification, Certification, Management of Innovation, Analysis and Creation of Value, New Space…