MSc in Artificial Intelligence Applied to Society at CentraleSupélec

Master of Science in AI taught entirely in English, in one year (M2) after a four-year bachelor or a Master, or two years (M1+M2) for candidates with less than 240 ECTS. Combines model-driven and data-driven AI applied to societal domains and is registered in the RNCP (level 7).

Faculty: CentraleSupélec  |  Duration: 1 year (M2) or 2 years (M1+M2)  |  Study mode: full-time; taught in English  |  Intake: September  |  Location: Gif-sur-Yvette, Île-de-France, France

What you will study

M1: core courses in mathematics, computer science, probability and statistics, machine learning and model representation; a capstone project on AI for physical systems; a three-month internship. M2: core courses (foundations of machine learning, optimisation, big data for AI, deep learning, AI), electives with a laboratory project, and an internship leading to a thesis, with five tracks: sustainable energy, transport and mobility, healthcare and biomedical, industry of the future, and AI for finance.

Career pathways

Prepares AI architects and innovators to implement AI solutions in companies and organisations.

Official programme page