The MIRS master is structured in 2 courses of two semesters of 30 ECTS each.

During the 1st semester courses on industrial robotics, probabilistic robotics, autonomous systems, computer vision and machine learning will be held. In the 2nd semester, students will work on 4 projects, one on each of the pillars that form the master: intervention, localization and mapping, perception and artificial intelligence. In addition to the projects, students will take cross-cutting subjects such as project management and entrepreneurship or scientific writing and best practices in research. In the third semester, the classical concepts of robotics and computer vision will be complemented by subjects such as 3D perception and object detection and segmentation. In addition, new artificial intelligence techniques based on deep learning and reinforcement learning will be addressed. Students will also take a course to understand the statistical bases as well as specific techniques that are part of the corpus of data science methodologies. In the 4th semester, students will complete a master's thesis.

The timing of the modules, together with the subjects and ECTS credits that comprise them, is shown in the following table: