Master’s programme

The interuniversity computer vIsion master’s programme is lectured by professors of the Unviersidade de Santiago de Compostela, Universidade da Coruña, Universidade de Vigo, and Universidade do Porto, although the students can formalize the registration at any of the four universities.

The exact same master’s degree denominated «Máster Universitario en Visión por Computador (Computer Vision)/ Grau de Mestre em Visão por Computador» issued by Universidade de Santiago de Compostela, Universidade de A Coruña, Universidade de Vigo and Universidade de Porto, will be obtained at the end of the studies, regardless of the chosen university during the registration.

Tabla de contenidos
  1. Study plan structure
  2. Programme details
  3. Subjects by module

Study plan structure

TypeCredits
Compulsory subjects48 ECTS
Elective subjects9 ECTS
External practices3 ECTS
Master’s thesis30 ECTS

Programme details

The detailed master’s programme and teaching guides can be found at the four organizing university pages:

Subjects by module

Image processing and analysis

Fundamentals of image processing and analysis
6 ECTS
1st Sem.
Compulsory
Noelia Barreira Rodríguez – UDC
Lucía Ramos García – UDC
Eva Cernadas García – USC
Luis Filipe Teixeira – UPorto
Ana Filipa Rodrigues Nogueira – UPorto

Advanced image processing and analysis
6 ECTS
2nd Sem.
Compulsory
Noelia Barreira Rodríguez – UDC
Lucía Ramos García – UDC
José Costa Pereira – UPorto

Three-dimensional modeling and recognition
3 ECTS
2nd Sem.
Elective
Julián C. Flores González – USC

Visual modeling and recognition

Image Description and Modeling
6 ECTS
1st Sem.
Compulsory
José Rouco Maseda – UDC
Joaquim De Moura Ramos – UDC
Antonio Fernández Álvarez – UVigo

Visual recognition
6 ECTS
2nd Sem.
Compulsory
Miguel Velhote Correia – UPorto
Xosé M. Pardo López – USC
Daniel Cores Costa – USC
Nicolás Vila Blanco – USC

Human action recognition
3 ECTS
2nd Sem.
Elective
Marcos Ortega Hortas – UDC
Lucía Ramos García – UDC

Biometrics
3 ECTS
2nd Sem.
Elective

José Luis Alba Castro – UVigo

Applied machine learning for computer vision

Fundamentals of machine learning for computer vision
6 ECTS
1st Sem.
Compulsory
Bruno Fonseca Coelho – UPorto
Pedro David Neto – UPorto
Eva Cernadas García – USC

Advanced machine learning for computer vision
6 ECTS
2nd Sem.
Compulsory
José Rouco Maseda – UDC
Joaquim De Moura Ramos – UDC
José Luis Alba Castro – UVigo

Machine vision for industry and engineering

Instrumentation and processing for machine vision
6 ECTS
1st Sem.
Compulsory
Andry Maykol Gomes Pinto – UPorto
Paula López Martínez – USC
Víctor Brea Sánchez – USC

Photogrametrics and robot vision
6 ECTS
2nd Sem.
Elective
Joaquín Martínez Sánchez – UVigo
Jesús Balado Frías – UVigo

Real-time machine vision
3 ECTS
2nd Sem.
Elective

Julio Martín Herrero – UVigo

Biomedical image analysis and applications

Instrumentation and processing for biomedical applications
6 ECTS
1st Sem.
Compulsory
Jorge Novo Buján – UDC
Joaquim De Moura Ramos – UDC
Pablo G. Tahoces – USC

Biomedical image analysis
6 ECTS
2nd Sem.
Elective

Jorge Novo Buján – UDC
Joaquim De Moura Ramos – UDC
João Paulo Cunha – UPorto