The program is held in three terms, starting in September. The courses address learning, action, and interaction in real or virtual environments, that may include humans or other agents.

Students can choose between three of the recommended tracks: Big DataInteractive Communication Technologies, or Intelligent Robotics. The program structure includes five compulsory courses and four electives to be chosen from the following table:


Research Methodology
Machine Learning
Natural Language Interaction
Web Intelligence
Autonomous Systems
RECOMMENDED ELECTIVES FOR EACH TRACK (*) Advanced Topics in Distributed Computing Critical Data Studies Mobile Robotics
Data-driven Social Analytics Web-based Interactive Communication Artificial Vision

Structured Probabilistic  Models

Automatic Facial Analysis Reinforcement Learning
One course chosen from the other two tracks or from the following optional pool
OPTIONAL POOL Advanced Topics in Intelligent Interactive Systems
Education, Games and Entertainment
Advanced Concepts and Methods in Cognitive Systems
Cognitive Science & Psychology: Mind, Brain and Behaviour 
Audio and Music Processing
Computational Semantics
Adaptive Behavior

(*) These are the recommended courses for a good progress and coherence of the track, but they can be changed depending on the profile and objectives of the student.

Check the syllabus and a description of each subject.