Page 6 - MScAI - Master of science in Artificial Intelligence

Program calendar

September December April December

Dave Jacob
Program Manager
T1 T2 T3
Core Elective Internship &
courses courses master thesis We are pleased to be able to welcome
international students to a rich educational
program and a stimulating environment
Laboratory project in which they can flourish and progress.
Artificial Intelligence (AI) is a science and a
set of computational technologies that aim
16 months to solve complex problems involving some
kinds of intelligence. The field of Artificial
Intelligence is relatively young (1956) but
spectacular advances have already been
made, with significant impacts on society,
and more to come. If you want to participate
Program in the construction of the future enriched by
responsible AI, nothing could be easier, just
join our program

Myriam Tami
Academic Co-Director Core Courses Elective Courses
Associate Professor at University Paris-
Saclay, CentraleSupélec, MICS lab
Foundations of Machine Learning Natural language processing
Foundations of Optimization Computer Vision
You’re going to want to join us! Operating Big Data for AI Reinforcement learning
in an international environment, you Foundations of Deep Learning Advanced Deep Learning
will benefit from CentraleSupelec’s AI
ecosystem that includes the AI Hub, our Foundations of AI Machine Learning in Network Science
labs and of course the relationships you Foundations of Decision modeling Medical Imaging
will develop with prominent partners. Year AI and Ethics Ensemble Learning
round, you will have the opportunity to Multi-agent Systems
participate in a variety of AI events, such as Game Theory
fairs and presentations. Predictive maintenance
The world is changing and it starts with us. AI Planning
Explainable AI
Stochastic optimization
Computational Social Choice

Lab project

CLASSEMENT 2025 (October to March)
Students, working in pairs, select a research topic tutored by a professor or researcher in
4 an associated laboratory. The topic corresponds to a state-of-the-art problem. Students
are asked to assess the existing literature, propose an algorithmic solution to the problem
at hand, implement it, and provide a numerical validation. Some projects can also involve
some business partners.
4th best MSc in AI in France, Eduniversal 2025
6 MSc in Artificial Intelligence Applied to Society