Practical information on master's programs

You will find in this section all practical information regarding our international Master's programmes, which are open to:

• local students from Grenoble INP Ensimag, Polytech'Grenoble and from the Master's programmes of Mathematics and Informatics at the Grenoble Alpes University.
• top foreign students from all over the world

MOSIG Master of Science in Informatics at Grenoble (M1 and M2)

The objective of the Master of Science is to offer to all students, regardless of country of origin, access to world-class graduate training in areas of informatics where the scientific research community in Grenoble is particularly strong

MoSIG is a highly competitive, two-year European Standard (LMD) graduate program, taught in English, offering training in those areas:

• Cloud Computing & Data Infrastructures (CCDI)
• Applied Artificial Intelligence and Interactive Systems (AAIIIS) - track shared with M2 AI programme

More details on MoSIG website

AI Master of Artificial Intelligence (M2 only in 2025-2026 - M1 to be open in 2026-2027)

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.

The different tracks offered in the programme are the following:

• Applied Artificial Intelligence and Interactive Systems (AAIIIS) - track shared with Mosig programme
• Foundations and Advanced Methods in Machine Learning (FAMML)

More details on AI website

AM Master of Applied Mathematics (M1)

This master is a one year program (M1) that can be pursued by one of the following Master 2 in Grenoble:

• Master of Science in Industrial and Applied Mathematics: M2 MSIAM.
• Master in Cybersecurity: M2 CySec
• Master in Operations Research, Combinatorics and Optimization: M2 ORCO

More details on AM website

MSIAM Master of Science in Industrial and Applied Mathematics (M2)

The industrial and applied math program offers a large spectrum of courses, covering areas where the research in applied math in Grenoble is at the best level

MSIAM is a highly competitive, one-year European Standard (LMD) graduate program, taught in English, offering training in the areas:

• Modeling, Scientific Computing and Image analysis (MSCI)
• Data Science (DS).

More details on MSIAM website

CySec Master in Cybersecurity (M2)

This Master of Science program is a one-year graduate program dedicated to cybersecurity, a field of excellence in the Grenoble techno pole.

CySec is a highly competitive, second year European Standard (LMD) graduate program, taught in English, offering training in the areas of cybersecurity: secure protocols and infrastructures design and analysis; software and hardware implementations; coding and multimedia application; audit and forensics.

More details on CySec website

ORCO Master of Science in Operations research, Combinatorics and Optimization (M2)

ORCO is a highly competitive, second year European Standard (LMD) graduate program, taught in English.

This Master of Science offer courses in all areas of Operations Research, Combinatorics and Optimization:

• Advanced Models and Methods in Operations Research
• Combinatorial Optimization and Graph Theory
• Optimization under uncertainty
• Logistic and Transport
• Advanced heuristic and approximation algorithms
• Advanced mathematical programming methods
• Efficient methods in optimization
• Academic and industrial challenges
• Parallel Systems

More details on ORCO course description