Program Overview

Program Overview

The M1 International Track in Electrical Engineering offers a multidisciplinary program at the crossroads of mechatronics, embedded systems, computer vision, artificial intelligence, and advanced electronics.

Program Description

This first year of the Master’s degree combines both theoretical courses and hands-on laboratory work, as well as an interdisciplinary project fostering autonomy and innovation. Students acquire solid skills in mechanics, electronics, signal processing, machine learning, and human–machine interaction, enabling them to design and integrate innovative intelligent systems.

Skills

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

Objectives

• Provide a multidisciplinary education covering mechatronic systems, embedded electronics, computer vision, artificial intelligence, and immersive technologies.
• Develop students’ ability to design, model, and integrate complex systems that combine hardware (sensors, actuators, circuits) and software (algorithms, programming, AI).
• Foster scientific and technical autonomy through interdisciplinary projects.
• Prepare students for further studies in Master 2 and for professional careers in robotics, applied AI, embedded systems, and Industry 4.0.

Career Opportunities

Career Prospects

• Researcher or lecturer after a Master's or Doctorate
• R&D Engineer
• Study and design engineer
• Consultant
• Study engineer in industry
• Study engineer in research
• Industry/research public study engineer
• Lecturer-researchers

Further Study Opportunities

• Doctorate
• Interdisciplinary Doctorate/PhD in Sustainability Science (various disciplines possible)

Fees and Scholarships

The amounts may vary depending on the program and personal circumstances.

Admission

Admission Route

• Physics
• Sciences for Engineers

Capacity

Available Places

28

Target Audience and Prerequisites

• Students holding a Bachelor's degree or equivalent in:
  • Sciences for Engineers
  • Electronics, Electrical Engineering, Automation
  • Computer Science, Applied Mathematics
  • Applied Physics, Mechanics
• Foreign students wishing to acquire multidisciplinary training in mechatronics and AI.
• Professionals resuming studies (VAE or continuing education) in the field of industrial and digital technologies.

Recommended prerequisites:

• Solid foundation in mathematics (algebra, analysis, probabilities).
• Basic knowledge of programming.
• Fundamental notions in electronics and applied physics.
• Motivation for interdisciplinary projects and innovation.

Application Period

From 03/02/2026 to 30/06/2026

Supporting Documents

Compulsory Supporting Documents

• Rank of previous year and size of the promotion.
• Motivation letter.
• All transcripts of the years/semesters validated since the high school diploma at the date of application.
• Certificate of English level.
• Curriculum Vitae.

Additional Supporting Documents

• Copy of diplomas.
• Certificate of English level (compulsory for non-English speakers).
• VAP file (obligatory for all persons requesting a valuation of assets to enter the diploma).
• Residence permit stating the country of residence of the first country.
• Or receipt of request stating the country of first asylum.
• Or document from the UNHCR granting refugee status.
• Or receipt of refugee status request delivered in France.
• Or residence permit stating the refugee status delivered in France.
• Or document stating subsidiary protection in France or abroad.
• Or document stating temporary protection in France or abroad.

Program Schedule

The schedule will be posted shortly.

Location

• ORSAY
• GIF SUR YVETTE
• EVRY

Program Details

The M1 International Track in Electrical Engineering is designed to provide students with a comprehensive education in electrical engineering, mechatronics, and artificial intelligence. The program aims to equip students with the skills and knowledge necessary to design and integrate innovative intelligent systems. With a strong focus on interdisciplinary projects and autonomy, this program prepares students for successful careers in robotics, applied AI, embedded systems, and Industry 4.0.