Master in Computer Vision

2020/2021 · 90 credits

What you learn

This master has been designed based on the research and technology transfer experience of four universities in Galicia and northern Portugal, to offer a master's degree with an updated program of techniques and foundations of an expanding interdisciplinary field such as computer vision.

The title addresses the need to train qualified personnel in a field that is becoming essential in maintaining the momentum of innovation in areas as varied as industry, health, road safety, biometric control and video surveillance, photogrammetry, crop and territory control, and in general a multitude of applications in all areas of production and entertainment where the image plays a role. With the exponential growth of the volume of digital images and videos captured by cameras, the automatic understanding of our visual world has never been more important.

Complete study skills

Generic skills

  • Capacity for analysis and synthesis of knowledge
  • Ability to analyze the needs of a company in the field of computer vision and determine the best technological solution for it
  • Ability to develop computer vision systems depending on existing needs and apply the most appropriate technological tools
  • Capacity for critical analysis and rigorous evaluation of technologies and methodology
  • Ability to identify unsolved problems and provide innovative solutions
  • Ability to identify theoretical results or new technologies with innovative potential and turn them into useful products and services for society
  • Autonomous learning ability for specialization in one or more fields of study

Specific skills

  • To know and apply the concepts, methodologies and technologies of image processing
  • To know and apply automatic learning and pattern recognition techniques applied to computer vision
  • To know and apply the concepts, methodologies and technologies of image and video analysis
  • To conceive, develop and evaluate complex computer vision systems
  • To analyze and apply state-of-the-art methods in computer vision
  • To know and apply the fundamentals of image acquisition and machine vision systems
  • To know and apply the fundamentals of medical image acquisition, processing and analysis
  • To communicate and disseminate research results and conclusions
  • To know and apply the concepts, methodologies and technologies for the recognition of visual patterns in real scenes

Transversal skills

  • To practice the profession with a clear awareness of its human, economic, legal and ethical dimensions and with a clear commitment to quality and continuous improvement
  • Capacity for teamwork, organization and planning
  • Development of the innovative and entrepreneurial spirit
  • Ability to understand the meaning and application of the gender perspective in the different areas of knowledge and in professional practice with the aim of achieving a more just and egalitarian society
  • To incorporate sustainability and environmental commitment criteria into professional practice. To acquire skills in the equitable, responsible and efficient use of resources.

Professional and academic career

This master, with academic profile, and a practical and applied approach (enhanced with a TFM of 30 ECTS), provides skills and experience that allow knowledge to be applied immediately. The masters trains professionals with skills to generate immediate benefit for industry or entrepreneurship, as well as researchers who intend to begin doctoral studies in a growing scientific field.

Upon completion of the training students are expected to be competent in

  • Reading and understanding of 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 automatic learning tools, such as geometry, optimization and statistics to computer vision applications

Professional and academic career

The output profiles of this master, can be summarized as follows:

  • Entrepreneurs with computer vision training who are able to start their own technology companies in the sector
  • Technical staff of technology companies and technology and research centres, with a wide specialisation in computer vision and related applications
  • Work outlets of the student's previous training in Mathematics, Physics or Engineering, with a higher level of specialisation before entering the labour market
  • Pre-doctoral students who are going to do their thesis in areas related to computer vision

Companies and institutions involved

The master's degree has the collaboration of many technology and research centres, as well as technology companies, with interests in technological innovation or application of the technologies addressed in the master's degree.

An updated list of collaborators can be found here

Planning for teaching

This study has teaching guide
You can read it to learn more about the study. In the table below you can see the individual teaching guides for each subject.

Study structure

The masters are organized by modules. Click on a module for more information.

  Guide Type QTR. credits
Image Description and Modeling Compulsory 1st 6 ECTS
Visual Recognition Compulsory 2nd 6 ECTS
Human Action Recognition Optional 2nd 3 ECTS
  Guide Type QTR. credits
Work Placement Compulsory 2nd 3 ECTS
  Guide Type QTR. credits
Being implemented Compulsory 2nd 30 ECTS

Teachers

The study is taught by the following teachers:

The masters are organized by modules. Click on a module for more information.

Student mobility

UDC holds student mobility agreements with universities and other third-level institutions across four continents. Students are offered several opportunities each year to apply to study abroad in one of these centres (for a single term or for a whole year), with the guarantee that all credits obtained will be duly recognised in their academic record upon their return.

For each round of applications, the University publishes the list of exchange options available to students and, where relevant, the specific conditions associated with each. Students may also apply to the University for funding for international work experience placements and internships.

Work experience placements are accredited in the student's academic record and the European diploma supplement. Students are free to decide in which host company or academic institution within the EHEA they wish to carry out their placement. To assist them in their search, the University has created an online noticeboard with jobs postings and other news.

Work-study placements in A Coruña are arranged by the International Relations Office (ORI) of the UDC in collaboration with the international relations coordinators in the student’s home university. The general entry criteria, rights and obligations of students, and admission and acceptance procedures for the programme, are regulated by the UDC Mobility Policy.