Gifas Issat.com
Aerospace Education Catalogue

Master 2 Techniques Spatiales et Instrumentation (M2P TSI)

  • Organisations :
  • Type of Course: Initial education - Life-long learning
  • Language(s): English, French
  • Place: Toulouse (French Regions: Occitanie)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 3
  • VAE (Validation of Acquired Experiences): Yes

Course Details

Objectives: The objective of this master is to train physics students who will become tomorrow's players in the field of space science and technology. The training provides an overview of space techniques, introducing the design constraints specific to space vehicles, their development, testing and operations.

Intended for: Students

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

Admission requirements: - M1 physique (UT3 et autres Universités Françaises et étrangères)
- Ecoles d'ingénieurs
- Première année du Spacemaster (Erasmus +)

Targeted careers : IT activities (software engineering, operation, maintenance, security), space aeronautics, robotics, electronics & electrical industry, instrumentation, telecommunications & networks

Duration and terms: 4 semesters

Notes: In order to encourage the reception of non-French-speaking students, almost all courses are taught in English.

Dedicated web site: https://www.univ-tlse3.fr/master-parcours-techniques-spatiales-et-instrumentation-tsi

Disciplines

  • Engineering Sciences
  • System Engineering, Programme Management, Production

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.
  • 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…