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 (*) Data-driven Social Analytics Web-based Interactive Communication Artificial Vision

Critical Data Studies

Automatic Facial Analysis Mobile Robotics
Two courses chosen from the other two tracks or from the following optional pool
OPTIONAL POOL Advanced Topics in Intelligent Interactive Systems
Audio Signal Processing for Music Applications
Computational Semantics
Structured Probabilistic Models

(*) 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.