MSc Information Technology - Track in Embedded AI
Plouzané, France
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 May 2026
EARLIEST START DATE
01 Sep 2026
TUITION FEES
EUR 6,500 / per year
STUDY FORMAT
On-Campus
A 2-year full-time program in Embedded AI
In a world where intelligence is being pushed to the edge, this MSc program prepares a new generation of engineers capable of designing ethical, sustainable, and resource-efficient embedded AI systems. The EMB-AI track combines cutting-edge expertise in AI algorithms and embedded systems with a strong focus on hardware design, edge computing, and smart sensing.
This 2-year program is fully delivered in English, with a 6-month paid internship in a company or research lab.
Internationally recognized degree
MSc in Information Technology (IT) accredited by the Ministry of Higher Education and Research.
No. 20171079 – 1702068Z
Industrial & research exposure
Backed by STMicroelectronics and AMD Xilinx, the EMB-AI track offers students hands-on experience with advanced platforms and real-world edge-AI challenges from industry.
The program is rooted in cutting-edge research at the Mathematical and Electrical Engineering Department.
Students benefit from the faculty’s strong research background and active participation in national and international research initiatives and industry collaborations, creating a high-impact and innovation-driven learning environment.
Scholarship opportunities for: Excellent profiles, Alumni from our partner universities, European citizens, etc.
- In-depth courses & methodology
- Professional & personalised projects
- French language & culture
- Professional coaching
- Internship
M1 - YEAR 1
- From Algorithm to Chip
- Scientific Tools for Embedded AI
- Interaction Software/Hardware
- From Sensor to Intelligent Processing
- Introduction to AI
- Deep Learning in Practice: From Model Design to MLOPs
- RISC-V: Architectures and Instruction Set Extensions
- Efficient Deep Learning
- Parallel Computing for Engineers
- Programming of Robotic Systems
- AI Acceleration: HW and SW Co-Design
M2 - YEAR 2
- Connectivity and Embedded AI
- Embedded AI: Constraints, Technology, and Applications
- Embedded Cybersecurity
- Safety for Critical Embedded Systems
- Designing Intelligent Sensors
- Rapid Prototyping and Agile Development
IMT ATLANTIQUE is ranked among the top 3 engineering institutions in France. As a leading Technological University, it is internationally recognized for its excellence in education, research and innovation:
- Top 400 in the THE World University Ranking,
- Top 100 in QS ranking for Data Science and AI.
Course objectives
- Advanced design of embedded systems
- Hardware and software integration
- Algorithms and applied Artificial Intelligence (AI)
- Co-design and hardware/software acceleration
- Development of intelligent sensors and physical integration (from sensor to layout)
- Cybersecurity for Embedded Systems
- Safety for Critical Embedded Systems
- Connectivity and embedded intelligence (IoT, edge, wireless networks)
- Rapid prototyping and agile development
- Development of embedded AI projects
- Developing ethical, sustainable, and resource-efficient embedded AI.
- Professional and intercultural skills
- Scientific and technical communication
Graduates are eligible for a wide range of careers in Embedded Systems and AI:
- Embedded Systems Engineer: designs, develops, and optimizes intelligent electronic systems embedded in a wide range of everyday objects and devices.
- Hardware Architect: defines the system’s electronic architecture and selects the appropriate hardware components for embedded applications.
- Embedded Artificial Intelligence Engineer: designs AI algorithms adapted to the computing and energy constraints of embedded systems.
- Systems Integration Specialist: integrates hardware and software components while ensuring system reliability and efficiency, with optimal performance in real-time and resource-constrained environments.
- R&D Engineer: develops innovative technological solutions to address industrial and scientific challenges.
- Embedded Cybersecurity Engineer: designs and implements protection mechanisms to secure data, communications, and operations in embedded systems.
- Test and Validation Engineer: defines and conducts verification procedures throughout the system lifecycle to ensure functional correctness, robustness, and compliance with specifications.
Moreover, graduates with a passion for in-depth research and innovation may choose to pursue a PhD, delving into specialized areas.