18 monthsProgramme duration
Jan, SepStarting Month
Programme overview
Main Subject
Engineering - Electrical and Electronic
Degree
Other
Study Level
Masters
Study Mode
On Campus
This Master's Degree in Computer Vision offers an interdisciplinary specialization in all-round fundamentals of computer vision. It has been designed on the basis of the research and transfer experience of four universities in Galicia and Northern Portugal.
The master addresses the need to train qualified experts in a field that is becoming fundamental in maintaining the innovative momentum in the automation of tasks that require visual cognition. 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, in applications such as:
- Healthcare. Applications in new products and services of software for Hospitals and e-Health with special emphasis on diagnostic support and contactless health monitoring.
- Automatic inspection. Application in infrastructures maintaining, industrial production lines, quality control and sensors embedded in Industry 4.0.
- Mobile robotics with applications in collaborative robotics, Industry 4.0, precision agriculture, and personal assistants.
- Security of infrastructures and services. Applications in video surveillance, identification biometrics, monitoring of public spaces.
- Agriculture and land planning. Applications in land, forest and crop monitoring from satellites and unmanned aerial vehicles.
- Road safety and self-driving. Traffic control and surveillance, driving assistance systems, autonomous vehicles.
- Aquaculture and fish industry.
- Leisure, advertising and virtual shopping.
Programme overview
Main Subject
Engineering - Electrical and Electronic
Degree
Other
Study Level
Masters
Study Mode
On Campus
This Master's Degree in Computer Vision offers an interdisciplinary specialization in all-round fundamentals of computer vision. It has been designed on the basis of the research and transfer experience of four universities in Galicia and Northern Portugal.
The master addresses the need to train qualified experts in a field that is becoming fundamental in maintaining the innovative momentum in the automation of tasks that require visual cognition. 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, in applications such as:
- Healthcare. Applications in new products and services of software for Hospitals and e-Health with special emphasis on diagnostic support and contactless health monitoring.
- Automatic inspection. Application in infrastructures maintaining, industrial production lines, quality control and sensors embedded in Industry 4.0.
- Mobile robotics with applications in collaborative robotics, Industry 4.0, precision agriculture, and personal assistants.
- Security of infrastructures and services. Applications in video surveillance, identification biometrics, monitoring of public spaces.
- Agriculture and land planning. Applications in land, forest and crop monitoring from satellites and unmanned aerial vehicles.
- Road safety and self-driving. Traffic control and surveillance, driving assistance systems, autonomous vehicles.
- Aquaculture and fish industry.
- Leisure, advertising and virtual shopping.
Admission Requirements
Students profile
This master’s degree is aimed at students who hold a degree in Mathematics, Physics or Engineering, and have diverse interests in computer vision technology:
- Students who pursue a specialization before joining the labor market.
- Students pursuing a doctoral thesis in this field.
- Entrepreneurs seeking training to start their own companies in the field.
- Professionals who work in technology companies and want to broaden/complement their skills.
The recommended admission profile is:
- Mathematical training at least equivalent to the provided by a degree in Engineering.
- Programming skills (C/C++, Java, Matlab, Python, or similar).
- Level of English equivalent to level B2 – CEFR is recommended, although only B1 is required.
Admission requirements
On the basis of the above, the admission requirements are:
- Undergraduate and graduate degrees in any area of science, engineering, and technical engineering.
- Adequacy of academic record and curriculum vitae to the expected academic profile.
- Accreditation of minimum English level B1.
- Contact with the university of choice for more information on the available options for the accreditation of English level.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
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Scholarship Applications: Frequently Asked Questions
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