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Aerospace Education Catalogue

Master Ingénierie des systèmes complexes - parcours Ingénierie Micromécanique

  • Organisation: SUPMICROTECH
  • Type of Course: Initial education
  • Language(s): French
  • Place: Besançon (25) (French Regions: Bourgogne-Franche-Comté)
  • Prepared diploma/grade/title: Grade of Master (official recognition of 7 level degree)
  • Level of entry: French Baccalaureat + 3
  • This training is included in RNCP / RS

Course Details

Objectives: M1 Systems Engineering:
MICROTECHNICS / MECHANICAL MANUFACTURING: 120 HOURS
AUTOMATIC / COMPUTER: 120 H
MATERIAL SCIENCES / MATHEMATICS / OPTICS: 78 HOURS
MECHANICAL DESIGN: 60 H
LANGUAGES: 60H
HUMAN AND SOCIAL SCIENCES: 30 HOURS

M2 Micromechanical Engineering: Course Train multidisciplinary engineers capable of designing microdevices integrating complementary technologies and functionalities on a mechanical basis. Familiar with deposition and photolithography techniques, they can understand the industrial implementation of microtechnologies, both at the design office and R&D level and at the production level.

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

Dedicated web site: https://www.supmicrotech.fr/fr/organisation-et-contenu-apres-un-master-1

Disciplines

  • Engineering Sciences
  • System Engineering, Programme Management, Production

Topics

  • 3 - Mechanical and Materials Engineering: Solid Mechanics, Structural Dynamics, Composites, Metallurgy, Forming, Additive Manufacturing, Metamaterials, Processes, Plastics, Chemistry, Polymers, Surface Treatment, etc.
  • 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…