M1 - Artificial Intelligence and Data Science

  • Training structure

    Faculty of Science

Program

  • English S1

    2 credits

  • Probability, statistics

    2 credits

  • Fundamentals of Symbolic AI

    4 credits

  • OPTION 1

    4 credits

    • Choose 1 out 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 warehouses and Big Data

  • Machine learning 1 (classical 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

  • Mobile development and programming

    4 credits

  • Natural Language 1 (Syntax)

    4 credits

  • OPTION 2

    4 credits

    • Choose one of two options:

      • Epistemology of computer science

        4 credits

      • Project management

        4 credits

Admission

Registration procedures

Applications are made via the following platforms:

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