Master’s level

The AI2D specialty provides both theoretical and practical education covering all areas of Artificial Intelligence, Decision, Operational Research and Interaction.

This covers issues related to "problem solving" that economic actors face, as well as questions related to the implementation of intelligent interaction processes, whether involving a human user or between autonomous entities. Its goal is to educate specialists in Information and Communication Sciences and Technologies, and mastering the concepts, models and tools of these themes.

This covers issues related to "problem solving" that economic actors face, as well as questions related to the implementation of intelligent interaction processes, whether involving a human user or between autonomous entities.

The MIND specialty provides students with fundamental knowledge of databases as well as processing, collection, manipulation & management of large amounts of data. It naturally relies on state-of-the-art techniques in data mining, artificial intelligence and computational intelligence, with a focus on machine learning (statistical and symbolic, using imperfect datasets).

The ISI specialty prepares students for R&D-oriented careers in manufacturing or mobile robotics and on advanced automatic systems.

It covers several themes, such as the perception of the environment, the analysis of scenes, the strategy of problem solving and mechanics. Possible applications include intelligent cars, human-machine interfaces, detection systems, and the analysis and interpretation of signals (such as physiological, audio, video).

The Statistics, Learning, and Algorithms specialty (MS2A) offers dual education in mathematics and computer science, focusing on data science and artificial intelligence.

It was started in 2019 and offers a comprehensive understanding of mathematical tools and methods involved in statistical learning, deep learning and artificial intelligence.

This specialty deals with modeling and control problems of mechatronic and robotic systems, the perception of their state and their environment as well as the planning of movements and actions.

In addition to the problems of industrial robotic manipulators, teaching is also provided on issues of service robotics (Automated Guided Vehicle AGV, drone, humanoid, etc.).

The program is designed to provide the scientific fundamentals and musical knowledge necessary to carry out research in the fields of musical acoustics, sound signal processing, and musical informatics. The program’s originality lies in its multi- disciplinary nature; students are required to have a high level of scientific expertise and an understanding of artistic creation.

ATIAM offers a scientific approach to the entire chain of sound and music computing from the physical and psychophysical dimensions to digital modeling and high-level symbolic structures.

The Image (IMA) programme aims to provide in-depth training in the fields of image processing and analysis, computer vision and computer graphics.

The IMA course aims to provide students with an in-depth training in the fields of image processing, computer vision and computer graphics. It combines in its courses coherent arrangements ranging from the foundations of the discipline to the most advanced techniques.

The objectives assigned to the UTC-ISC Master’s degree are to provide future engineering managers with a solid scientific and technological knowledge base to be able to study (viz., to characterize and understand), model and design complex and innovative systems using a systemic multidisciplinary approach.

In this degree, two specialties are offering training related to AI:

This program hosted by the Statistical Institute of Paris University (ISUP) is a 2-year high-level training for careers as statisticians and data scientists in innovative sectors.

This program hosted by the Statistical Institute of Paris University (ISUP) is a 2-year high-level training for careers as statisticians and data scientists in innovative sectors. The students can follow the second year working part-time as members of the Training Center for Apprentices (CFA). In this program, academics and private sector employees teach statistics and computer science.