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

Program Objectives

The IASD - Computer track Master’s degree is a training program of PSL University, coordinated by its components University Paris Dauphine, École normale supérieure and École des Mines de Paris. The IASD Master’s degree offers a complete M2-level curriculum providing solid theoretical knowledge and good practical experience of state-of-the-art methods in artificial intelligence and data science. Backed by the research laboratories of PSL University and the Interdisciplinary Institute of Artificial Intelligence PR[AI]RIE, the IASD Master’s degree is a high-level training program leading to careers in research and development in public or private research laboratories or innovative companies.
The Master’s program selectively recruits students who have completed the first year of a Master’s degree in computer science or mathematics, as well as students in their final year of engineering school (or who have already obtained an engineering degree), and also students from comparable international backgrounds. The number of students is limited to around sixty.

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 : From January 2025, courses will be held at 16 bis rue de l'Estrapade, 75005 Paris.

Types of education
Initial training
Language(s)
English
ECTS Credits
60 credits
Internship
24 weeks
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