Bachelor's Degree in Artificial Intelligence
Study guides
The information currently available corresponds to the subjects offered during the 2026/27 academic year. If you wish to consult the information included in a study guide not found on the list, please visit the Digital Repository of Documents. The complete information of all the subjects of the Degree can be consulted in the Study Plan and timetables section.
The information on the languages used in each subject can be found in the study guide for each subject.
1st
108265 - Fundamentals of Computing
106550 - Fundamentals of Mathematics I
106551 - Fundamentals of Mathematics II
106553 - Fundamentals of Programming I
106552 - Probability and Statistics
108256 - Fundamentals of Programming II
2nd
108267 - Fundamentals of Artificial Vision
106572 - Fundamentals of Machine Learning
106584 - Fundamentals of Natural Language
106567 - Graph and Network Analysis
106564 - Knowledge Representation
106573 - Neural Networks and Deep Learning
3rd
108271 - Reinforcement Learning
108609 - Social and Human Interaction with AI
108610 - The Social Impact of AI
108269 - Advanced Artificial Vision
106575 - Advanced Machine Learning
108258 - Applications and Challenges of AI
106590 - Autonomous Navigation
106592 - Computing Acceleration in AI
108272 - Current Trends in Machine Learning
106568 - Data Security and Privacy
106571 - Game Theory
106599 - Innovation and Entrepreneurship
106591 - IoT Systems
106585 - Learning and Natural Language Processing
106588 - Multi-agent Systems
4th