Master in Computer Vision

Computer vision has the goal of achieving scene understanding from images and videos using computers. It is one of the most prolific research fields of artificial intelligence, and the current state-of-the-art is driving the innovation at a wide range of real-world applications.

The master's degree with common denomination "Máster Universitario en Visión por Computador (Computer Vision)/ Grau de Mestre em Visão por Computador" by USC, UDC, UVigo and UPorto, can be obtained at any of the organizing universities through the interuniversity master's programme.

Main features

90 ECTS

Official EHEA master's degree, verified at Spain and Portugal.

Interuniversity

Lectured by professors of USC, UDC, UVigo and UPorto.

International

Lectured in english in Spain and Portugal.

Multifaceted modules

An interdisciplinary specialization with electives of choice.

On-site and online

Local lecturing at the university of choice, remote lecturing from the other, with minor displacements for labs.

Hands-on learning

Focused on project-based practical application of computer vision.

30 ECTS master's thesis

A whole semester dedicated to tutored specialization in a real-world application.

Professional career

Co-advised master's thesis and external internships with research centers or companies.

R&D academic career

Become an expert in state-of-the-art computer vision innovative technologies.

This master’s degree is aimed at students who hold a degree in Mathematics, Physics or Engineering, and have diverse interests in computer vision technology:

• Students who pursue a specialization before joining the labor market.
• Students pursuing a doctoral thesis in this field.
• Entrepreneurs seeking training to start their own companies in the field.
• Professionals who work in technology companies and want to broaden/complement their skills.

The recommended admission profile is:

• Mathematical training at least equivalent to the provided by a degree in Engineering.
• Programming skills (C/C++, Java , Matlab, Python, or similar).
• Level of English equivalent to level B2 – CEFR is recommended, although only B1 is required.

All-round specialization in computer vision

Two years of computer vision

First semester

• 5 x 6 ECTS compulsory subjects

Second semester

• 3 x 6 ECTS compulsory subjects
• 9 ECTS in electives
• 3 ECTS in external practices

Third semester

• 30 ECTS master’s dissertation

Multifaceted modules

• Image processing and analysis
• Visual modeling and recognition
• Applied machine learning for computer vision
• Machine vision for industry and engineering
• Biomedical image analysis and applications