Universitat Politècnica de Catalunya · BarcelonaTech

Master's degree in Artificial Intelligence

The master's degree in Artificial Intelligence was created as a synergy between the doctoral programme in Artificial Intelligence (AI) at the Barcelona School of Informatics of the UPC, the School of Engineering of the Rovira i Virgili University (URV) and the Faculty of Mathematics of the University of Barcelona (UB). It guarantees an interdisciplinary education in which computer science intersects with philosophy, psychology, linguistics, engineering and other fields. It focuses on knowledge engineering, automatic learning and multi-agent systems, natural language processing, reasoning and problem solving, soft computing and AI technologies, and the application of AI techniques to professional practice.

The doctoral degree in AI, which follows on from this master’s degree, was awarded the Spanish Ministry of Education’s Quality Award every year from 2003 to 2010. It is now a verified programme.

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Duration and start date
1.5 academic years, 90 ECTS credits. Starting September
Timetable and delivery
Mornings. Face-to-face
Fees and grants
Approximate fees for the master’s degree, excluding degree certificate fee, €4,901 (€7,352 for non-EU residents).
This master's degree has been selected in the Masters of Excellence grant programme of the Catalunya-La Pedrera Foundation. More information is available at the Foundation's website.
More information about fees and payment options
More information about grants and loans
Language of instruction
Official degree
Recorded in the Ministry of Education's degree register
General requirements
Academic requirements for admission to master's degrees
Pre-enrolment closed (consult the new pre-enrolment periods in the academic calendar).
How to pre-enrol
How to enrol
Legalisation of foreign documents
All documents issued in non-EU countries must be legalised and bear the corresponding apostille.

First semester

  • Computational Intelligence 5
  • Computational Vision 5
  • Introduction to Human Language Technology 5
  • Introduction to Machine Learning 5
  • Introduction to Multiagent Systems 5
  • Planning and Approximate Reasoning 5

Second semester

  • Advanced Human Language Technologies 5
  • Advanced Topics in Computational Intelligence 4
  • Artificial Intelligence in Health Care 3
  • Artificial Intelligence Seminar 3
  • Artificial Vision & Pattern Recognition 4.5
  • Assistive and Health-Care Technologies 4.5
  • Big Data Analytics 4.5
  • Cognitive Robotics 4.5
  • Complex Networks 5
  • Deep Learning 4.5
  • Human Language Engineering 4.5
  • Human-Computer Interaction 4.5
  • Intelligent Data Analysis Applications in Business 2
  • Knowledge and Representation Engineering 6
  • Logics for Artificial Intelligence 6
  • Minds, Brains and Machines 4
  • Multi-Robot Systems 4.5
  • Multiagent System Design 4
  • New Trends in Robotics 3
  • Nlp Over Open Linked Data 3
  • Object Recognition 4
  • Personalized Multi-Criteria Decision Support Systems 4.5
  • Probabilistic Graphical Models 4.5
  • Self Organizing Multiagent Systems 4.5
  • Supervised and Experiential Learning 4.5
  • Unsupervised and Reinforcement Learning 4.5

Third semester

  • Cognitive Interaction with Robots 4.5
  • Constraint Processing and Programming 4.5
  • Intelligent Data Analysis and Data Mining 4.5
  • Intelligent Decision Support Systems 4.5
  • Intelligent System Project 3
  • Master's Thesis 18
  • Normative and Dynamic Virtual Worlds 4.5
  • Professional Practice in Artificial Intelligence 3
  • CompulsoryECTS
  • OptionalECTS
  • ProjectECTS
Double-degree pathways with foreign universities
  • Master's degree in Artificial Intelligence (MAI) + Master's degree in Informatics- Mention in Computer Science or Mention in Software Engineering (Pontificia Universidad Católica del Perú, Perú)

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