Master of Artificial Intelligence (AI)

Summary

The Master of Artificial Intelligence is jointly offered by UFR IM²AG, the Department of Informatics and Mathematics at Université Grenoble Alpes, and Grenoble INP - Ensimag, UGA, a school of engineering specializing in Applied Mathematics and Informatics of Grenoble INP.

The academic program is a highly competitive, two-year graduate program adhering to European standards (LMD), structured into Master 1 and Master 2 levels.

Objectives

The Master of Artificial Intelligence aims to provide all students, irrespective of their country of origin, with access to top-tier graduate training in AI fields where Grenoble's scientific research community excels.
The learning objectives of the AI ​​Master are designed to provide students with in-depth knowledge and practical skills in AI. The main axes are as follows:

• Acquisition of In-Depth Knowledge: Students will acquire a deep understanding of the theoretical and practical principles of AI. The program covers areas such as machine learning, knowledge representation, natural language processing, among others.
• Advanced Technical Skills: Students will be trained to use specific programming tools and languages, such as Python and CUDA, and will work on practical projects to implement AI solutions.
• Practical Applications: The program encourages the application of AI concepts to real-world problems, with examples drawn from fields such as health, finance, robotics, etc.
• Ethics and Responsibility: Given the ethical implications of AI, the program includes modules on ethics and social responsibility of AI engineers. A specific Teaching Unit has been created to address these aspects.

Entry requirements

Admission