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Space Education Catalogue

Master Systèmes Electroniques et Systèmes Informatiques (SESI)

• Organisation : Sorbonne Université - Faculté des Sciences et Ingénierie
  (Sorbonne Université)
• Way of training : Initial education
• Language(s): French
• Place: Sorbonne Université (French Regions: Ile-de-France)
• Prepared diploma/grade/title: Master or DNM: French National Master Degree
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : The SESI course aims to train specialists in the hardware and software design of embedded systems. These systems are omnipresent, controlling all equipment: medical devices, automobiles, airplanes, drones, telephones, telecommunications, internet boxes, games, household appliances, etc.

This is an applied training whose content is updated every year, because R&D for embedded systems evolves quickly and constantly: there is little time between research, innovation, industrial transfer and the marketing of new systems.

Public concerned : Students with a Bachelor's degree in computer science or an EEA degree.

At the M2 level, it is possible to welcome engineers who wish to specialize. It is also possible to welcome engineering students in their final year, within the framework of agreements between Sorbonne University and other higher education institutions.

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

Dedicated web site : https://fc.sorbonne-universite.fr/nos-offres/master-informatique-parcours-systemes-electroniques-et-systemes-informatiques-sesi/

Disciplines

• Engineering Sciences

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
• 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.