Master Telecommunications with Wireless Technologies Full Time - Máster en Telecomuncaciones con Tecnología Inalámbrica
1. A completed Bachelor´s degree in Artificial Intelligence or related area
In order to get admission to this Master´s you will need a completed Bachelor’s degree in Artificial Intelligence or a related programme with a significant AI content (such as Computer Science or Cognitive Science).
An acceptable applicant should have a background in formal topics (mathematics, programming) and some experience of basic AI topics such as search, machine learning, knowledge representation, and reasoning. Ideally the candidate should also have some experience in cognition and/or neuroscience. (Note: It may be possible to make up deficiencies in some of these subject areas using the free-choice courses as part of the Master’s programme.)
2.Proficiency in English
•A TOEFL score of ≥575 (paper based) or ≥232 (computer based) or ≥90 (internet based)
•An IELTS score of ≥6.5
•Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher
The Master’s programme in Artificial Intelligence teaches you how to understand naturally intelligent systems, build artificially intelligent systems, and improve the interactions between humans and artificial systems. You’ll gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence. You will learn how to better understand the human´s brain and cognition.There are three specialisations: Computation in Neural and Artificial Systems, Robot Cognition or Web and Language Interaction. We also offer two double degree programmes together with Neuroscience and Data Science.
The Master’s programme in Artificial Intelligence has a course load of 120 EC* (two years). Most of the courses are 3 or 6 EC, the Master’s thesis is 18 EC and the internship 30 EC.
The programme consists of three tracks:
Web and Language Interaction
Computation in Neural and Artificial Systems
These tracks focus on different areas of natural and artificial intelligence. Apart from these specialisations, a set of foundational courses cover basic techniques for all tracks. Within their different areas of interest, all tracks consist of three main topics; studying natural systems, developing artificial systems and computational models and implementing systems based on these models.
Year 2 *
Foundation Compulsory (15 EC)
Internship (30 EC)
Track Compulsory (18 EC)
Track Choice (18EC)
Thesis (18 EC)
Restricted Choice (6 RC)
Restricted Choice (6 EC)
Free Choice (3 EC)
Free Choice (6 EC)
* It is possible to go abroad for the second year of studies
The Artificial Intelligence Master´s programme prepares its students for a variety of possible bright futures.
PhD research : Many of our students go on to perform PhD research in the Netherlands or abroad, filling positions at for instance:•the Institute for Computing and Information Sciences (ICIS)
•the internationally renowned Donders Institute for Brain, Cognition and Behaviour
•affiliated institutes of de Donders Institute, such as the Behavioural Science Institute (BSI)
Companies: Others go on to perform research in a business environment, or even start their own companies, applying AI techniques in a variety of fields.