Artificial Intelligence, Systems, Data (IASD) - Master's Year 2

Program Objectives

This high-level program offers a solid understanding of applied mathematics and artificial intelligence system design, with the goal of covering all potential issues related to processing and analyzing the mass data typically encountered by businesses. It emphasizes the interrelationship between automatic learning, management, and mass data mining, big data paradigms, knowledge representation, data processing, and recently developed methodologies.

This program is intended to provide students with the following:

  • A deep understanding of the conceptual, semantic, and algorithmic questions posed by artificial intelligence and data science
  • Gain both a general and an in-depth understanding of the various facets of AI
  • Train students to have a sound theoretical background and extensive practical experience in artificial intelligence and data science
Types of education
Initial training
Work-based training
ECTS Credits
60 credits
24 weeks
No work-based training
Type of Diploma
National diploma conferring the Master's degree
Academic Year

A dedicated team

  • Tristan CAZENAVE

    University Professor

    Program supervisor

  • Benjamin NEGREVERGNE

    Assistant Professor

    Program co-supervisor

  • Secretariat

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