This master degree is designed for students who are interested in computer vision with the following profile.
Ideal student profile
- Having completed studies in Mathematics, Physics, or any Engineering and seeking a specialization that will allow them to look for a technological job
- Working in this field and looking for update their knowledge
- Pursuing a doctoral thesis in this field and need a Master to complete the required ECTS credits
- High level knowledge in Programming and Mathematics (Algebra, signal theory, basic image processing, probability and statistics)
- Knowledge in prototype-based Programming languages, such as Python or Matlab
- Knowledge of English. Have at least the equivalent to level B1 of the European Framework of Reference for Languages (understanding, writing and speaking)
- 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
The minimum criteria are the following:
- Have a Bachelor’s degree in Engineering, Mathematics, or Physics or a related degree compatible with the above mentioned studies
- Have at least a B1 level in English of the European Framework of Reference for Languages.
more information on Admission Requirements.
2. Wait for Admission Resolution you will recieve an e-mail with the admission decision
3. Reserve you position until you can register for the Master.
4. Registrations periods will be anually informed, usually a first period is at the end of July and a second one in September that can end at the start of october.
Before the final registration you will have to make an appointment for a Tutorial Session with the Master’s Coordinator, you will receive the procedure with your Admission Confirmation e-mail.
For more information about the enrollment please contact to: email@example.com
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
- Studies directly related to the field
- Professional or research experience related to the field, including prototype-based programming languages, such as Python or Matlab
- English level in the European Framework of Reference for Languages
- Motivation shown by the student in the field