The MSc-Master of Science® in Intelligent Embedded Systems Engineering trains experts capable of designing, developing, and deploying intelligent embedded systems that integrate advanced microelectronics and artificial intelligence (AI) technologies.
This program addresses the growing needs of industries in the automotive, aerospace, healthcare, telecommunications, defense, and IoT sectors, where hardware/software convergence and the integration of embedded AI algorithms are essential.
Designed for an international audience of recent graduates or professionals, the MSc offers training that combines theory, practical work, and industry immersion. Students acquire technical skills in embedded architecture, microelectronics, low-level programming, embedded AI (machine learning, neural networks, generative AI), FPGA, ASIC, microcontrollers, smart sensors, and embedded communication protocols, as well as expertise in project management and communication.
This training course is aimed at individuals who wish to master cutting-edge technologies in order to design high-performance, safe, and energy-efficient intelligent systems that are adapted to the real constraints of industrial environments.
Admission
Starting from a three-year university degree
RNCP Level 6 certification
Campus
Toulon
Program Length
15 months of teaching
6 months of work experience
Targeted degree
MSc-Master of Science
The plus of the training
The European Reschip4EU program
allows students on this MSc to study at partner universities.
The MSc-Master of Science® is accredited by the Conférence des Grandes Écoles.
MSc-Master of Science® program
The program consists of two academic phases: an initial 15-month period of classes and a second 6-month period involving a work placement and a research paper.
Courses are grouped into modules:
| Course title | Year 1 (ECTS) | Year 2 (ECTS) |
|---|---|---|
| Artificial intelligence | 4 | - |
| Hardware systems engineering | 8 | - |
| Microcontrollers and interfaces | 8 | - |
| Human and social development | 3 | - |
| Technical project | 5 | - |
| Languages (elective) | 2 | - |
| Computer Architecture (elective) | 6 | - |
| Bibliographic research (elective) | 2 | - |
| Software development | 4 | - |
| Advanced Digital and Analog Electronics | 6 | - |
| Microelectronics and manufacturing | 4 | - |
| Interpersonal skills | 4 | - |
| Business and Innovation Conferences | 2 | - |
| Technical project | 6 | - |
| Languages (elective) | 2 | - |
| Project management | 2 | - |
| Summer School (elective) | 4 | - |
| Analog design in microelectronics | - | 12 |
| Design and modeling system | - | 7 |
| On-board electronics | - | 5 |
| Interpersonal skills | - | 1 |
| Innovation project | - | 5 |
| Languages (elective) | - | 2 |
| Project or internship | - | 20 |
| Professional or academic thesis | - | 10 |
Full english
100% of courses
taught in English
2-year program
Accelerated training
The European Credit Transfer and Accumulation System ( ECTS ) is a points system developed by the European Union as part of the Bologna Process and theEuropean Higher Education Area(EHEA). Credits are divided into teaching units (UE).
It aims to make it easier to read and compare study programmes within a country and between different European countries. The ECTS system applies mainly to university education. It is applied in France and has replaced the system of credits (UV) previously used.
What's next?
Trades prepared
- Embedded Systems Engineer: Design and development of integrated electronic systems, real-time programming, testing, and validation.
- Microelectronics Design Engineer: Design of digital and analog integrated circuits, simulation, FPGA/ASIC.
- Firmware Engineer: Development of embedded software optimized for microcontrollers and dedicated processors.
- Intelligent System Architect: Development of hardware and software architectures adapted to real-time and energy constraints.
- Validation Engineer: testing and validation of intelligent embedded systems.
- IoT Engineer: Integration of smart sensors, communication protocols, security of connected objects.
- Software and Hardware Quality Manager: overseeing the compliance and reliability of smart systems.
- Embedded Systems Project Manager: Management of R&D or industrial projects in embedded systems, coordination of multidisciplinary teams.
- Technical Consultant: consulting in architecture, integration and optimization of intelligent systems, technology selection, architecture optimization, and system integration.
Admission
This program is open to students who have completed a three-year degree in a field related to the program, or who hold an RNCP 6 qualification.