Title of title: Master's Degree in Computer Vision
Knowledge branch: Engineering and Architecture
Center where it is taught: Higher Technical School of Engineering Rúa Lope Gómez de Marzoa s / n. South Campus 15782 Santiago de Compostela
Date of authorization for the implementation of the title by the Xunta de Galicia: Orde do 16/06/2020 (DOG do 1/07/2020)
Date of publication in the BOE:
Date of last accreditation:
Responsible for the title:
Title coordinator: Pardo López, Xosé Manuel
Teaching conditions:Offer periodicity: Annual
Type of teaching: Face-to-face
Study regime: full tempo / partial tempo
Languages of use: English PortugueseInteruniversity degree:
Coordinating University:University of Santiago de CompostelaParticipating universities:University of A Coruña
University of Vigo
University of PortogoalsComputer vision is eminently multidisciplinary in nature and has a high scientific and technological potential. Its multidisciplinary nature is based on the fact that (i) many of its results are inspired by and feed back results in Neuroscience, (ii) the complexity of the problems both from the geometric, statistical and probabilistic point of view demand a good training in Mathematics, (iii ) the photometric dimension of the images, the resolution of poorly conditioned problems, multispectral analysis, or the sources of noise in images, are a field for Physics, (iv) the technology for cameras, communications, and hardware come from various Engineering, ( v) and the computational models that are required for processing and learning from large amounts of data, allow the development of new paradigms within computing. On the other hand, its high technological potential is evident from the fact that it is a discipline that allows rapid applicability of all its theoretical results, which makes it a cross-sectional engineering that can be integrated into multiple systems of diverse applications.
Thus, we are facing a technological sector that requires a high degree of training from its professionals and whose scientific interest is advancing at great speed. The interest at an academic level occurs on two fronts, on the one hand there are students who have just finished their undergraduate studies and seek greater specialization before entering the labor market. On the other hand, there are multiple research groups dedicated to computer vision that require a master's degree in this field to train students who intend to do a doctoral thesis.
Basic skillsPossess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context
That the students know how to apply the acquired knowledge and their problem-solving capacity in new or little-known environments within broader (or multidisciplinary) contexts related to their area of study
That students are able to integrate knowledge and face the complexity of formulating judgments from information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
That students know how to communicate their conclusions and the latest knowledge and reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way.
That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.SaidasThis master's degree, with an academic profile, with a practical and applied approach (enhanced by a TFM of 30 ECTS, a minimum requirement in accordance with Portuguese regulations), provides skills and experience that allow the immediate application of knowledge to generate both highly trained professionals, with skills to generate immediate benefits for the industry, as professionals with entrepreneurial capacity, or researchers who intend to initiate doctoral studies in a growing scientific field. Upon completion of the training students are expected to be proficient in:Reading and understanding current research publications on computer vision techniques.
Use of fundamental tools commonly used to develop computer vision applications.
Implementation of computer vision applications based on state-of-the-art algorithms.
Conduct experimental analysis and testing consistent with current practice in computer vision, including standard metrics and reference data sets.
Application of mathematical and machine learning tools, such as geometry, optimization and statistics to computer vision applications.The profile of the students to whom the master's degree is aimed can be summarized in the following points:Entrepreneurs seeking training to start their own businesses in the field.
Professionals who work in technology companies and who need to update their training.
Students who finish their undergraduate studies in Mathematics, Physics or Engineering and who are pursuing further specialization before entering the labor market.
Pre-doctoral students who are going to do their thesis at the universities of Galicia and North of Portugal.