Information
Skills
Master core knowledge in control, electronics, computing, energy, signal, image, and AI.
- Understand cross-disciplinary interactions and model complex systems.
- Apply digital tools and analytical methods.
- Manage projects, work in teams, and communicate in French and English.
- Develop autonomy, critical thinking, and readiness for M2 specialization.
Objectives
The first year of the Master’s program (M1) is distinguished by its generalist and foundational nature, the diversity of courses offered, and the breadth of its disciplinary scope. Delivered across three campuses (Orsay-Cachan, Évry, and Versailles), it aims to provide students with a solid grounding in the program’s core fields: control engineering, electronics, industrial computing, computer engineering, electrical energy, signal and image processing, and artificial intelligence. It also seeks to help students understand the interactions among these disciplines.
Fundamental courses are offered in the first semester through major teaching units (UE) specific to each discipline. In the second semester, a range of optional units, linked to the specialties of the different campuses, enables students to deepen their knowledge in selected areas and explore new ones. These units are organized into thematic clusters leading to different M2 pathways.
The curriculum also includes English courses, project management training, and a supervised project.
Career Opportunities
Career prospects
Après un Master ou Master + Doctorat : chercheur ou enseignant-chercheur
Ingenieur R&D
ingénieur étude conception
Consultant
Ingénieur d’études dans les domaines de l’industrie
Ingénieur d’études dans les domaines de la recherche
Ingénieur d'études industrie / recherche publique
Enseignants-chercheurs
Further Study Opportunities
Chargé·e de développement
Chargé·e d’études
Chef·fe de projet/de mission
Chercheur/chercheuse en R&D ou expert·e en modélisation et analyse de données dans des entreprises ou laboratoires de pointe.
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
Doctorat
domaines de l’apprentissage statistique, de l’intelligence artificielle ou de l’analyse de données avancée
École d’ingénieur
Master 2
Fees and scholarships
The amounts may vary depending on the programme and your personal circumstances.
Admission Route
Capacity
Available Places
Application Period(s)
From 30/01/2026 to 15/06/2026
Supporting documents
Compulsory supporting documents
Rank of previous year and size of the promotion.
Copy diplomas.
Copy of identity document.
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum Vitae.
Detailed description and hourly volume of courses taken since the beginning of the university program.
Additional supporting documents
Certificate of French (compulsory for non-French speakers).
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Supporting documents :
- 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.