M1 International track in electrical engineering

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This M1 master provides a wide range of optional courses in electrical engineering:
* computer (science, vision and graphics)
* signal processing
* robotics
* artificial intelligence
* communication
* microelectronics and photonics.
The first semester includes basic common blocks. The second semester involves more in-depth classes. The 1st year master (M1) allows students to build their programs according to their interests. Students who want to further develop their knowledge of specific field can integrate one of many M2 majors:
* Machine intelligence, computer vision, and robotics
* Advanced wireless communication systems
* Multimedia networking
* Optical networks and photonic systems
* Integration circuits and systems
* Nanosciences.

Course Prerequisites

A minimum of a "licence, Bachelor" degree in either Computer Science, Electronic Engineering, Mathematics, or Physics, or a recognized equivalent international qualification. We'll also consider relevant degree subjects or significant relevant work experience if you don't meet these requirements.

  • Understand computer science, electrical engineering and signal processing problems.

  • Solve problems related to specific fields of electrical engineering.

  • Implement solution to real-world related problems.

  • Conduct experimental analysis.

  • Design AI future invention.

Career prospects

Graduates with the M1 have several opportunities to choose from including M2 specialization. Students can integrate Machine intelligence, computer vision, and robotics major which leads to:
* Robotic Engineer
* Computer science Engineer
* Machine Learning Engineer
* AI Developer
* Data Scientist
* PhD studies
We further offer careers information, advice and guidance to our students.

Covid-19 context (start of the academic year 2020-2021 for this training)

Training offering exclusively via distance-learning until December 2020 for international students detained outside France

More information


Informatique, Biologie Intégrative & Systèmes Complexes
Centre de Nanosciences et de Nanotechnologies
Laboratoire des Signaux et Systèmes.


5 UE de base à choisir dans une liste (encore en chantier)
1 UE français/soft skills obligatoire.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Signal processing 5 18 16 16
Programming 5 18 16 16
Power and machine electronics 5
French for foreigners/soft skills 5
Embedded systems 5 18 16 16
Electronics for transmission systems 5 19 15 16
Digital communication 5 18 16 16
Computer networking 5
Computational methods 5 18 16 16
Automatic control 5 18 16 16

1 projet obligatoire
5 UE à choisir dans une liste (encore en chantier).

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Statistical machine learning 5 30 12 8
Nanotechnology 5 20 6 24
Modeling of poly-articulated systems 5 30 10 10
Microwaves and antennas 5
Mecatronic design 5 20 20 10
Materials and devices for electronics and optoelectronics 5 22 20 8
Machne vision 5 30 0 20
Information theory and source coding 5 24 18 8
Image and signal processing 5
French for foreigners/soft skills 5
Design of integrated circuits 5 20 18 12
Computer graphics 5 30 0 20
Communication systems 5
Advanced power and machine electronics 5
Advanced automatic control 5
Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Project 5
Modalités de candidatures
Application period
From 01/02/2020 to 15/07/2020
From 15/08/2020 to 01/09/2020
Compulsory supporting documents
  • Curriculum EU (description of the units of education followed) of the last two years.

  • Curriculum Vitae.

  • Motivation letter.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

Additional supporting documents
  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

  • Certificate of English level (compulsory for non-English speakers).

Course manager(s)