Master's degree in Computer Vision

Universitat Politècnica de Catalunya · BarcelonaTech

Master's degree in Computer Vision

Barcelona School of Telecommunications Engineering (ETSETB)

The master's degree in Computer Vision (master's degree website), coordinated by the Universitat Autònoma de Barcelona and with the UPC as a participant, investigates the techniques and mathematical models that are used to computationally simulate the visual tasks performed by the human visual system, based on one or more digital images. This research area has been growing exponentially since the 1980s due to the great complexity of the problem. Today, it is an important field of research in computer science, mathematics, physics and engineering in general. In the last decade, progress in this area has been huge, for several reasons:

  • Results in the development of low-cost, high-performance cameras.
  • The introduction of these cameras in many areas of daily life and their incorporation in many mobile devices.
  • The development of computational learning techniques that have improved the efficiency of algorithms that automatically extract information from images.
  • The possibility of access to huge databases of images on the Internet.
Duration and start date
One academic year, 60 ECTS credits. Starting September
Timetable and delivery
Afternoons. Face-to-face
Language of instruction
English

Information on language use in the classroom and students’ language rights.

Location
Barcelona School of Telecommunications Engineering 
Official degree
Recorded in the Ministry of Education's degree register
General requirements
Academic requirements for admission to master's degrees
Places
25
Pre-enrolment
To enrol for an interuniversity master’s degree coordinated by a university other than the UPC, you must enrol through the coordinating university:
Universitat Autònoma de Barcelona (UAB)

Pla d'estudis no disponible

Check the degree’s main quality indicators in the University Studies in Catalonia portal of the Catalan University Quality Assurance Agency. Find information on topics such as degree evaluation results, student satisfaction and graduate employment data. 

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