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.

Study plan structure

Type	Credits
Compulsory subjects	48 ECTS
Elective subjects	9 ECTS
External practices	3 ECTS
Master’s thesis	30 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

1^st 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

2^nd Sem.

Compulsory

Noelia Barreira Rodríguez – UDC

Lucía Ramos García – UDC

José Costa Pereira – UPorto

Three-dimensional modeling and recognition

3 ECTS

2^nd Sem.

Elective

Julián C. Flores González – USC

Visual modeling and recognition

Image Description and Modeling

6 ECTS

1^st Sem.

Compulsory

José Rouco Maseda – UDC

Joaquim De Moura Ramos – UDC

Antonio Fernández Álvarez – UVigo

Visual recognition

6 ECTS

2^nd Sem.

Compulsory

Miguel Velhote Correia – UPorto

Xosé M. Pardo López – USC

Daniel Cores Costa – USC

Nicolás Vila Blanco – USC

Human action recognition

3 ECTS

2^nd Sem.

Elective

Marcos Ortega Hortas – UDC

Lucía Ramos García – UDC

Biometrics

3 ECTS

2^nd Sem.

Elective

José Luis Alba Castro – UVigo

Applied machine learning for computer vision

Fundamentals of machine learning for computer vision

6 ECTS

1^st Sem.

Compulsory

Bruno Fonseca Coelho – UPorto

Pedro David Neto – UPorto

Eva Cernadas García – USC

Advanced machine learning for computer vision

6 ECTS

2^nd 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

1^st Sem.

Compulsory

Andry Maykol Gomes Pinto – UPorto

Paula López Martínez – USC

Víctor Brea Sánchez – USC

Photogrametrics and robot vision

6 ECTS

2^nd Sem.

Elective

Joaquín Martínez Sánchez – UVigo

Jesús Balado Frías – UVigo

Real-time machine vision

3 ECTS

2^nd Sem.

Elective

Julio Martín Herrero – UVigo

Biomedical image analysis and applications

Instrumentation and processing for biomedical applications

6 ECTS

1^st Sem.

Compulsory

Jorge Novo Buján – UDC

Joaquim De Moura Ramos – UDC

Pablo G. Tahoces – USC

Biomedical image analysis

6 ECTS

2^nd Sem.

Elective

Jorge Novo Buján – UDC

Joaquim De Moura Ramos – UDC

João Paulo Cunha – UPorto