Université Paris-Saclay Artificial Intelligence Informatics Master

Caio Corro: Coordinator of the AI master program

with the help of François Landes (admissions and jurys), Marc Evrard (internship coordination) & Kim Gerdes

Alexandre Verrechia (UPsaclay) & Aurélie Lerasle (EIT digital): Administrative assistants

Newly accepted students: JOIN OUR GOOGLE GROUP

[APPLICATIONS (opened March 15, but are CLOSED for 2022) INFO]

[NEW APPLICANT AUTO-EVALUATION QUESTIONNAIRE]

Slides of the welcome meeting

The AI master

The Paris-Saclay Informatics AI Master was founded in 2019 by Isabelle Guyon and is currently run by Caio Corro. It is a very selective 2-year master program with over 400 applicants at the first year entry level and only ~5% acceptance rate. 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 "parcourse" of the Université Paris-Saclay Informatics 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.

CALENDAR


The AI - EIT Digital track

The AI master track is also part of the EIT datascience program, which basically means that you study for one year only at Saclay, and the other year of your master at another university of the EIT datascience program. The admission process for this program is completely separate and goes through the EIT website.