M1 - Artificial intelligence and data science

  • Training structure

    Faculty of Science

Program

  • English S1

    2 credits

  • Probability, statistics

    2 credits

  • Foundations of symbolic AI

    4 credits

  • CHOICE 1

    4 credits

    • Your choice: 1 of 4

      • Distributed software architectures

        4 credits

      • Cryptographic foundations for security

        4 credits

      • POA/SMA

        4 credits

      • Graphs: structures and algorithms

        4 credits

  • Algebra, geometry, transformation, numerical calculation

    2 credits

  • Logic, computability and complexity

    4 credits

  • Software engineering

    4 credits

  • Distributed programming

    4 credits

  • Data warehousing and Big-Data

  • Machine learning 1 (classic methods)

    4 credits

  • T.E.R

    4 credits

  • English S2

    2 credits

  • Semantic data processing

    4 credits

  • Logic for software engineering and AI

    4 credits

  • Development and programming for mobile devices

    4 credits

  • Natural language 1 (syntax)

    4 credits

  • CHOICE 2

    4 credits

    • Your choice: 1 of 2

      • Computer science epistemology

        4 credits

      • Project management

        4 credits

Admission

How to register

Applications can be submitted via the following platforms:

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