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Master in Water Resources Science and Technology

Calendar and timetable

Academic year 2025-2026

  • Start of the academic year: 29 September 2025.The same day, from 12.00 to 13.30, there will be a welcome followed by the presentation of the master and an introduction to the methodology of Problem-Based Learning (PBL) - Faculty of Science Bachelor's Degrees Room.
  • Teaching period:September 2025 to July/September 2026 (depending on the presentation date of the master’s thesis).
  • Classroom timetable: afternoons.Except some field excursion that may be in the morning.
  • Start of company placements and master’s theses (TFM): 23 March 2026 (with the option of starting before).
  • Submission of the work placement report: 12 June 2026
  • Master's thesis defence (handing in of report 1 month before): 16-17 July 2026 (first call, submission of report on 9 July), 8-10 September 2026 (second call, submission on 2 September).

TIMETABLES FOR ACADEMIC YEAR 2025-26

The Master in Intelligent Robotic Systems (MIRS) is a two-year programme designed to provide advanced knowledge and practical skills in robotics and autonomous systems.

The programme is structured to award 30 ECTS credits every semester, making a total of 120 credits. This programme is ideal for holders of a bachelor's degree with a previous education in fields such as Computer Science, Engineering (Biomedical, Electronic, Industrial, Mechanical and similar), Physics or Mathematics.

The weekly calendar combines theoretical classes and practical laboratories, allowing the students to apply the acquired knowledge to real situations. The programme focuses mainly on robot manipulation, autonomous systems, multivision geometry and machine learning techniques such as the Convolutional Neural Networks (CNN) and Q-learning. It also covers advanced localisation algorithms such as SLAM (Simultaneous Localization and Mapping), giving students a full set of skills in both theory and practical application.

Besides the central curriculum, the MIRS programme offers the opportunity to take part in specialised seminars taught by experts in the field and they cover an extensive range of subjects, including explainable AI, SLAM Graph and Deep Learning.

This programme provides a unique combination of theory, practical experience and avant-garde research, thus preparing students for successful careers in robotics, artificial intelligence and tech industries.

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