Artificial intelligence (AI) is a rapidly growing interdisciplinary field, driven in particular by proven successes in image processing and natural language handling. successes in image processing and natural language processing. In its entirety, it offers the In general, it offers the possibility of responding to a strong need of industrialists who are seeking to make the best use of data. This may involve gaining a better understanding of complex systems or predicting their behaviour, with the aim of increasing the competitiveness of companies.

As a student in the MSc Data Sciences & Artificial Intelligence course at Université Côte d'Azur, you will be trained to become a specialist in the mathematical techniques and computational tools needed to extract knowledge from large amounts of data. Students will receive a thorough grounding in theory as well as technical and practical data science skills, enabling them to apply advanced data science methods to real-world problems.

The MIAGE IA2 course trains computer scientists capable of implementing in a very concrete way the various techniques resulting from artificial intelligence (AI).
At the end of this training, they will be able to :

• decide if a problem is related to an AI technique,
• know the limits and constraints associated with each AI technique,
• develop an AI application using existing libraries or cloud services.

The 2nd year courses of the IARF speciality are common to those of the engineering course of the Master's degree in Real Time Systems Engineering Robotiquet and of the EEA (Electronics, Electrical Engineering, Automation) mention.

The IAAA course introduces the most recent advances in artificial intelligence and trains students to exploit the associated methods and techniques in innovative applications. The themes covered are machine learning, deep learning, automatic natural language processing, modelling and solving problems based on constraints, and knowledge representation and processing. These topics are particularly relevant to data science and fundamental computer science.