The public defense of the Master Thesis (TFM, Trabajo Fin de Máster) will occur when the student has passed all the subjects of the master, within the period established for this purpose in the current academic calendar for postgraduate studies and according to the regulations set by the University and the Master Program.

The objective of the TFM is that the student develops individually an original and rigorous work with innovative character, where the knowledge acquired throughout the master's degree in machine learning techniques and health is demonstrated, so it must be related to one or more of the courses of the degree.

This course is the culmination of the skills and abilities acquired in the master's degree with the aim of training scientists capable of combining the areas of bioengineering and machine learning. To this end, the student will be required to carry out a supervised work in which an appropriate orientation and follow-up are provided at the level of their scientific maturity.

AF3 Theoretical practical classes AF4 Laboratory practices AF5 Tutorials AF6 Team work AF7 Student individual work AF8 Partial and final exams Activity code total hours number presencial hours number % Student Presence AF3 0 0 0% AF4 0 0 0% AF5 7,5 7,5 100% AF6 21 0 0% AF7 210 0 0% AF8 1,5 1,5 100% TOTAL MATERIA 240 9 3,75%