This master’s degree will provide a profile with skills and expertise applicable to multiple fields. Computer vision is a discipline that allows rapid applicability of all theoretical knowledge, providing a cross-disciplinary engineering profile that allows them to work on multiple systems of applications such as retrieving images by content, interpreting and automatically annotating videos, extracting three-dimensional information from multiple views and improving the appearance of image content. This field of technology requires professionals with a high level of training and scientific interest in it is growing rapidly.

Generic competencies

Generic competencies are the skills that graduates acquire regardless of the degree or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, teamwork, proper use of information resources, knowledge of a foreign language (preferably English) and gender perspective.

Specific competences

• Graduates will be able to identify key concepts and apply the most suitable basic techniques to solve problems arising in the field of computer vision.
• They will have developed the skills to devise alternative solutions to complex vision problems and to create prototypes to demonstrate the validity of the systems proposed.
• They will have acquired the knowledge to select the most suitable software tools and training setups for developing solutions to problems arising in the field of computer vision.
• They will have learnt to plan, implement, manage and evaluate projects addressing specific problems in different areas of computer vision.
• They will be able to define in detail and correctly apply the technology transfer process for innovation in the field of computer vision.
• They will know how to apply the correct research methodology, select the appropriate techniques and information sources, and organise specific resources for research in the field of computer vision.