Admission

This master degree is designed for students who are interested in computer vision with the following profile.

Ideal student profile

   Student Interests:

  • Students who have completed their studies in Mathematics, Physics, Computer Science or any Engineering branch or having a degree related to these careers and seek a specialization that will allow them to look for a technological job
  • Students already working in this field and want to update their knowledge
  • Students who want to pursue a doctoral thesis in this field

   Academic Profile

  • Have a level in Mathematics equivalent to engineering students  (Algebra, signal theory, basic image processing, probability and statistics)
  • Knowledge in prototype-based programming languages, such as Matlab or Python
  • Knowledge of English. Have at least the equivalent to level B1 of the European Framework of Reference for Languages (understanding, writing and speaking)

   Personal Skills

  • Motivation to deal with complex problems
  • Autonomy to plan work
  • Empathy in order to have a good interaction in team work
  • Ability to have a high dedications
  • Flexibility and creativity versus results

Admission criteria

The minimum criteria are the following:

  1. Have at least a Diploma or Bachelor’s degree in Engineering, Mathematics, or Physics or a related degree compatible with the above mentioned studies
  2. Have a B1 level in English of the European Framework of Reference for Languages.

Enrollment steps

1. Pre-registration <Required Documentation>

2. Wait for Admission Resolution

3. Registration period has been extended up to October 2nd  at the Academic Administration of the Engineering School <Enrollment procedure>

    Before registration you will have a Tutorial Session with the Master's Coordinator (contact to: maria.vanrell@uab.cat for an appointment) to fill the application form [pdf version]

For more information about the enrollment please contact: ga.masters.enginyeria@uab.cat) 

Selection criteria

In case that the number of applicants exceeds the number of places offered, the allocation of places will be done according to the following priority criteria:

  • Academic record average (30%)
  • Studies directly related to the field (20%)
  • Professional or research experience related to the field, including prototype-based programming languages, such as Matlab or Python (20%)
  • B2 level in English of the European Framework of Reference for Languages (20%)
  • Motivation shown by the student in the field (10%)