Master's Degree in Computer Vision 12 months Postgraduate Programme By Universitat Autònoma de Barcelona |TopUniversities
Subject Ranking

# =175QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

4,500 EURTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

Would you like to learn the modern techniques of artificial intelligence applied to computer vision problems? would you like to be able to tackle vision problems such as automatic image understanding, 3D reconstruction or video analysis?
If you hold a degree in Engineering, Physics, Math or similar and have good programming skills, and you are looking for a Master in the branch of Artificial Intelligence to learn to design and develop deep learning-based solutions to a wide range of problems, this is your master.   Computer Vision provides you with a wide field where to experiment all these techniques and it opens you a large range of job and research opportunities in high-tech companies and labs. 
Why to select this master?
Because it is unique in giving a full and coherent program on computer vision with three main advantages: (a) an updated program that goes from classical to modern deep learning tools; (b) a tested methodology that makes you learn by solving projects; and (c) an exceptional environment formed by the researchers of 5 top universities in an exciting city that is becoming a technological attraction pole for AI companies.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

Would you like to learn the modern techniques of artificial intelligence applied to computer vision problems? would you like to be able to tackle vision problems such as automatic image understanding, 3D reconstruction or video analysis?
If you hold a degree in Engineering, Physics, Math or similar and have good programming skills, and you are looking for a Master in the branch of Artificial Intelligence to learn to design and develop deep learning-based solutions to a wide range of problems, this is your master.   Computer Vision provides you with a wide field where to experiment all these techniques and it opens you a large range of job and research opportunities in high-tech companies and labs. 
Why to select this master?
Because it is unique in giving a full and coherent program on computer vision with three main advantages: (a) an updated program that goes from classical to modern deep learning tools; (b) a tested methodology that makes you learn by solving projects; and (c) an exceptional environment formed by the researchers of 5 top universities in an exciting city that is becoming a technological attraction pole for AI companies.

Admission Requirements

As stipulated in the interuniversity collaboration agreement, the Joint Master's Committee (the general coordinator plus each university's coordinator and the module coordinators) or, if so agreed, a delegated sub-committee, is responsible for evaluating applicants' previous studies and making a selection. This committee presents the list of applicants admitted to the Master's Committee of the UAB School of Engineering, which approves it and refers it to the rector of the UAB for his resolution.

The admission criteria are as follows:

  • Bachelor's degree in Engineering, Mathematics or Physics, or equivalent qualification.
  • English level B1 of the Council of Europe's Common European Framework of Reference for Languages.

1 Year
Sep

Tuition fees

Domestic
1,660 EUR
International
4,500 EUR

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:

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