Edu type:
Formal education
Location:
Nijmegen
Edu level:
Master (EQF 7)
Start date:
01/02/2019
Study load:
0 hrs
Duration:
2 Years
More information

Description:

Title/degree: Master of Science (MSc)
Duration: 2 years (120 EC), full time
Start months: September and February
Language of instruction: English
Croho code: 66981

 

Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems.

 

As humans, we may be intrigued by the complexity of any daily activity. How does it actually work to perceive, to act, to decide, and to remember? On the one hand, if we understand how our own intelligence works, we can use this knowledge to make computers smarter. On the other hand, by making computers behave more like humans, we learn more about how our own cognition works.

 

The AI Master’s programme at Radboud University has a distinctly cognitive focus. This cognitive focus leads to a highly interdisciplinary programme where students 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.

This clip shows what this Master’s programme is all about.

 

Artificial Intelligence
Scientific and practical applications
Slowly the human brain has been revealing its mystery to the scientific community. Now that we are actually able to model and stimulate aspects of cognition, AI researchers have gained a deeper understanding of cognition. At the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres, we train our students to become excellent researchers in this area.

 

At Radboud University we also teach students how to develop practical applications that will become the next generation of products, apps, therapies and services. Our department has been awarded several prizes for its pioneering role in bringing innovations from science to society, e.g. in Assistive Technology for people with disabilities. You’ll be taught the skills needed to conduct and steer such innovation processes. Many Master’s research projects have both a scientific and a practical component.

 

Specialisations
Computational modelling is the central methodology taught and used in this programme. Depending on the area of study, the computational models can range from behavioural models of millions of individuals interacting on the web, through functional models of human or robot decision-making, to models of individual or networks of artificial neurons. At Radboud University we offer the following three specialisations (on campus simply known as Computation, Robot and Web):

Computation in Neural and Artificial Systems
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.

 

Robot Cognition
Understanding human cognition by re-creating it. In the Master’s specialisation in Robot Cognition you’ll learn how to build artificial agents and robots that interact with the physical and social environment and by building such systems you’ll learn more about how human cognition works.

 

Web and Language Interaction
In this specialism you will learn to build artificial systems to model and understand all aspects of human language and interaction, including spoken, textual, tweets or clicks. You will also learn how to process the types of massive interaction databases that arise on the web.

 

Internship at a top research institute
A new collaboration between Radboud University and Max Planck Gesellschaft has created unique possibilities for Master’s students to go on an internship to a European Max Planck Institute. One of the world’s most renowned research institutes. Radboud University supports this collaboration by offering Master’s students an internship grant. Have a look at www.ru.nl/radboudmaxplanckinternships to learn more about the possibilities and application procedure.

 

Job opportunities
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates have started their own companies or work for companies interested in cognitive design and research.

 

Personal advice during the Master’s Open Day
Would you like more information about this programme? Then please visit our Master’s Open Day on 10 March 2018! Teachers will answer your personal questions and current Master’s students will share their experiences with you. This way you can find out about the Master’s programme from all different perspectives. Register now!

Security Talent is required by law to ask permission for using cookies. We use functional cookies, and cookies for managing website statistics.
The cookies are processed anonimously. By continuing on our website, you accept the use of cookies. 

Read our privacy and cookie policy for more information.

 

Close