Course Details

Artificial intelligence and

distributed computing

  • Faculty

    Faculty of Mathematics and Computer Science

  • Field of study

    Informatics

  • The university study cycle

    Master (2 years)

  • Language of instruction

    English

  • Maximum number of seats

    30

  • Annual tuition fee

    EU students 4000 lei (€804)
    Non-EU students €2430

Study Program Presentation

The aim of the program is to provide: a perspective on different areas of theoretical and applied artificial intelligence; knowledge on machine learning models and the design of efficient and robust intelligent systems; knowledge on automated reasoning and formal models used in software modelling and verification; knowledge on cloud technologies and platforms; skills in implementing and using distributed and parallel algorithms in a wide range of application areas.

A particular focus of this program is on developing skills for scientific research, such that the graduates have the prerequisites to start a PhD in Computer Science.

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Main Subjects Studied

  • Distributed Systems
  • Fundamentals of Artificial Intelligence
  • Architectures for Parallel Computing
  • Big Data Technologies
  • Dynamical Systems in Machine Learning
  • Data Mining
  • Automated Theorem Proving
  • Special topics in AI
  • Modeling and Verifying Algorithms in Coq
  • Machine Learning
  • Neuroscience
  • Introduction to Quantum Computing
  • Computational Game Theory

Careers And Occupations

  • AI Data Analyst/AI Engineer
  • Cloud Software Developer/Cloud Engineer
  • Data Science Analyst
  • Machine Learning Engineer
  • Academic/Industry Researcher

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