Study location	Netherlands, Nijmegen
Type	Master courses, full-time
Nominal duration	2 year (120 ECTS)
Study language	English
Awards	MSc

Tuition fee	€16,500 per year
Application fee	€75 one-time The handling fee is NOT applicable to: - Students with a nationality from the EEA countries or from countries that are candidates for EEA membership* - Students who receive a full scholarship (proven by uploading a grant statement) This fee will be refunded to you once you are fully enrolled as a student at Radboud University. The fee is NOT refundable when you are not admitted.

Entry qualification

Undergraduate diploma (or higher) A Bachelor’s degree in Artificial Intelligence or a related programme with comparable content from Radboud University or other Research University. You are required to have: 1) substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience); 2) a sufficient Mathematics background (knowledge of calculus, linear algebra, statistics); 3) a broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level; 4) a demonstrable knowledge in disciplines such as robotics, computational linguistics, or ambient intelligence; 5) more advanced knowledge of Artificial Intelligence models and techniques such as data mining and multi-agent systems. The entry qualification documents are accepted in the following languages: English / German / Dutch. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. It is required that you send verified copies of the entry qualification documents directly to the university by postal mail. Important! Never send original documents by post! Radboud University Central Student Administration P.O. Box 9102 6500 HC Nijmegen

Language requirements	English - IELTS Academic: ≥ 6.5 overall, subscores ≥ 6.0, writing subscore ≥ 6.5 - TOEFL iBT: ≥ 90, subscores ≥ 22 - Cambridge C1 Advanced or C2 proficiency: C or higher

Other requirements	Please upload an overview that contains, in chronological order, information about your education and knowledge/experience acquired during an internship, training, or work; for example, a resume. Please fill in and upload the Application Requirements form.

More information	Expenses, accommodation, working etc. ru.nl/..ion/masters/intelligent-technology

Overview

This Master’s specialisation has a focus on developing intelligent machines and new ways for humans and machines to interact, as well as understanding cognition through human behavior. We concentrate on communication and interaction between multiple intelligent agents with a special focus on language.

Master’s in Intelligent Technology: something for you?

- You will study advanced AI methods and artifacts that can make a crucial difference for human well-being, such as neurotechnology, brain-computer-interfaces, speech recognition, and vision and auditory prosthetics.
- You will learn about the societal impact of AI and learn to understand ethical considerations with respect to AI.
- You have the opportunity to study for a double degree, for example in Artificial Intelligence: Intelligent Technology and Computer Science: Data Science.
- This specialisation focuses on the application of AI techniques and principles in healthcare, assistive technology, human-robot interaction, and other application areas: you will work with stakeholders and companies on actual problems for which novel solutions are sought.

Programme structure

The Master’s programme in Artificial Intelligence is taught at the Faculty of Social Sciences. It has a course load of 120 EC* (two years). The structure of the programme is presented here.

Career opportunities

Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of the graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.

Examples of jobs that a graduate could get:

- PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient-doctor communication in a virtual hospital
- Data Scientist in a web start-up
- Developer for Computer-Aided Language Learning
- EU R&D programme leader on machine translation of natural language
- Developer of intelligent software for music studios