Computer Vision, M.Sc.

  • N/A
    Application Deadline
  • 12 months
    Duration
  • Tuition
    75
    Tuition (Credit)
    46
    Tuition (Credit)
  • English (take IELTS)
    Language
University rank #163 ,
This Computer Vision master from Universitat Autònoma de Barcelona has been designed to join the research expertise of four Barcelona universities to offer the students an updated program of methods and foundations of an emerging technology as it is computer vision, whose impact is increasing in a wide range of intelligent systems.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

Those interested in enrolling in this master's degree can apply for one of the grants offered by the Catalunya-La Pedrera Foundation for graduates enrolling in master's degrees. A total of 5,000 Euros is offered in one enrolment aid for this master's degree. To apply you must have an excellent student record, a Spanish passport and you must enrol in the course full-time.

This Computer Vision master degree program from Universitat Autònoma de Barcelona attempts to tackle the need for qualified personnel in this field, since computer vision is becoming a fundamental component in multiple systems, such as assisting medical diagnosis and cirurgy, car driving, quality control and surveillance applications, or improving interfaces for multimedia data access.

The master as a whole is coordinated by UAB (Universitat Autònoma de Barcelona), and program has been designed jointly with UOC (Universitat Oberta de Catalunya), UPC (Universitat Politècnica de Catalunya) and UPF (Universitat Pompeu Fabra). Researchers from all 4 universities are participating in this program.

Career options

This master's degree provides skills and expertise that can be used in many fields, allows theoretical knowledge to be quickly applied and produces multidimensional engineering professionals who can work with many systems of various applications, such as image retrieval from content, interpretation and automatic annotation of videos, extracting three-dimensional information from different views and improving the appearance of the image content. It is a technological field that requires highly-trained personnel and is of rapidly increasing scientific interest.

Programme Structure

Modules
  • Video Analysis
  • Computational Learning for Computer Vision
  • Dissemination of Research
  • Introduction to Human and Computational Vision
  • Research Methods and Technology Transfer
  • Optimisation and Inference for Computer Vision
  • Visual Recognition
  • Master's dissertation
  • 3D Vision

Detailed Programme Facts

  • Full-time duration 12 months
  • Study intensity Full-time
  • Credits
    60 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
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English Language Requirements

You need the following IELTS score:

  • Minimum required score: 5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Take IELTS test

Academic Requirements

Admission requirements
  • Hold qualifications as an engineer in Information Technologies or Telecommunications, or a degree in Mathematics or Physics.
  • Technical engineers in Information Technologies or Telecommunications with a high motivation for research may also be admitted.
  • You may be admitted with other qualifications, or qualifications equivalent to Computer Engineering obtained abroad, with prior evaluation of your academic record. If your qualifications are in subjects that are very different from those in this programme, you will need to take an adaptation year to reach the minimum level of knowledge in this area.

Tuition Fee Per Credit

  • EUR 75 International
  • EUR 46 EU/EEA

Funding

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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