El màster en imatge mèdica i aplicacions (MAIA) té com a objectiu l'aprenentatge de la tecnologia en la qual es basa l'anàlisi de les imatges mèdiques i els sistemes mèdics assistits per ordinador.

Aquest màster inclou àrees de recerca difícilment englobades en un sol curs, com ara la intel·ligència artificial i l'aprenentatge automàtic, la visió per ordinador i el processament d’imatges i el desenvolupament físic de sensors i tècniques d'adquisició, totes elles en contínua evolució en l'actual revolució digital.

El màster té una durada de dos anys (120 ECTS) i caràcter presencial amb docència en anglès, ja que és un màster interuniversitari on el primer semestre s'estudia a la Universitat de Borgonya (França), el segon a la Universitat de Cassino i del Laci Meridional (Itàlia), el tercer a la Universitat de Girona, i durant el quart es realitza la tesi de màster a una d'aquesta tres universitats o dins qualsevol altra entitat del consorci MAIA, que engloba tant centres de recerca experts en el camp com empreses punteres en el sector.

The Intelligent Field Robotic Systems (IFRoS) is a 2-year degree with 120 ECTS coordinated by the Universitat de Girona (UdG, Spain) together with the University of Zagreb (UNIZG, Croatia) and the Eötvös Loránd University (ELTE, Hungary) .

IFRoS is aimed at a new generation of engineers who will develop new applications and tools to expand the capabilities of field robots in the near future. The technology behind these systems comes from different research areas such as artificial intelligence, computer vision, control, sensorization, machine learning, manipulation, all of them under fast-paced evolution in the current digital revolution. IFRoS addresses the lack of master programs dedicated to intelligent robots and, more specifically, to field robotic systems.

Students can choose between two different itineraries, according to their preference. The programme is structured in four semesters, of 30 ECTS each. The first two semesters take place in Girona and provide a solid foundation in field robotics, with focus on land and marine robots. During the 3rd semester, students may choose a programme oriented towards multiple robots and aerial vehicles in Zagreb, or a programme oriented towards autonomous systems and self-driving land vehicles in Budapest. During the last semester, students will prepare a master's thesis.

Unlike industrial robots that operate in factories, in isolation and where the environment is predictable and adapted to the robot's task, intelligent robotic systems must cooperate with or replace humans in complex tasks and in unstructured and often unpredictable environments. The technology behind the development of these systems comes from different areas of knowledge such as artificial intelligence, computer vision, control, sensing, machine learning and others, all of them under rapid evolution in the current digital revolution. 

The Master in Intelligent Robotic Systems (MIRS) is a two-year master's degree with 120 ECTS designed by the ViCOROB team and offered by the UdG.  It shares the first two semesters with the Erasmus Mundus master's degree in Intelligent Field Robotic Systems (IFROS), and addresses a new generation of engineers who will develop new applications and tools to extend the capabilities of these intelligent robotic systems, in the near future.  It aims to provide graduates from different backgrounds (i.e. computer science; electrical, electronic, mechanical or industrial engineering; physics or mathematics) with the opportunity to acquire or enhance knowledge and skills in three key areas: computer vision, artificial intelligence and robotics.