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.

Training objectives :

  • 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


Courses locations :Master IASD Initial training : from January 2025, courses will be held at 16 bis rue de l'Estrapade, 75005 Paris.Master IASD in apprenticeship : courses are held on the https://parisantecampus.frPariSanté Campus site.

Types of education
Initial training
Work-based training
Language(s)
English
ECTS Credits
60 credits
Internship
24 weeks
No work-based training
Capacity
75
Type of Diploma
National diploma conferring the Master's degree
Academic Year
2025/2026

Educational team

  • Olivier CAPPÉ

    University Professor

    Program supervisor - initial training

  • Benjamin NEGREVERGNE

    Assistant Professor

    Program co-supervisor - initial training

  • Tristan CAZENAVE

    University Professor

    Program supervisor - apprenticeship

  • Dario COLAZZO

    University Professor

    Program co-supervisor - apprenticeship

  • Secretariat

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The challenges of the ecological and social transition in the Master's degree programs

Several courses and tools are offered to students in the Master’s program, regardless of their specialization