Coordinators of the AI master program: ai.master-informatique@universite-paris-saclay.fr
2025-26: Headmaster of M1 AI: Nona Naderi
2025-26: Headmaster of M2 AI: Kim Gerdes
In partnership with Marc Evrard, and Thomas Gerald (M2 internship coordination)
Alexandre Verrechia (pedagogical secretary)
Please do not email us about your individual case before having precisely studied this page, including the page "Details about the application".
It is recommended to apply once you have received all or most of your first-semester grades, ideally around mid-March.
Applications are reviewed in batches, with one review period scheduled around March 15–20. There is therefore no advantage in applying before this date.
In 2024, we received 1,400 applications for M1 (20–30 available places) and 400 applications for M2 (10 available places).
👉 Please do not email us about your individual case before having precisely studied this page, including the page "Details about the application".
📅 Application period: February 20 – April 1
International students: via Inception
French students or those already in France: via Trouver Mon Master
📅 Application period: March 1 – April 1
Applications via Inception only
Requirement (M2 only): Applicant Auto-Evaluation Questionnaire
(For M1 applicants, this step does not apply — you may attach a blank page if needed.)
The Paris-Saclay AI track of the Computer Science Master was founded in 2019 by Isabelle Guyon.
It is a very selective 2-year master program with 500-1500 applicants at the first year entry level for ~25 slots. It inherited from a previous 1-year master2 program ran by Alexandre Allauzen. It includes a rigorous program with foundational courses and more advanced growth classes in machine learning, computer vision, and natural language processing. It is taught by 17 professors, including 14 Université Paris-Saclay faculty and 3 external experts.
The AI master is a "parcours" (track) of the Université Paris-Saclay Computer Science (Informatique) master. It delivers a master diploma in computer science in 2 years, recruiting at the BAC+3 level (license or bachelor). The classes are taught in English and include:
Foundational classes (math, probability and statistics, signal processing, and optimization)
Growth classes (data science, machine learning, computer vision, and natural language processing)
Soft skills (e.g. Language, communication, entrepreneurship)
Practical work (e.g. Projects, internships, summer schools)
It provides a balance between theoretical and practical instruction..
See CLASS LIST.
Please note that starting from 2023, we are no longer offering the AI - EIT Digital track.