Cognitive Artificial Intelligence

Radboud Universiteit

Unsplashed background img 2

Deze opleiding

!Deze opleiding communiceert alleen in het Engels.
We tonen daarom de Engelstalige opleidingsinformatie.
Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems.

open_in_newstudy website

locatieNijmegen
diplomaMSc
typeregulier, 120 EC
start1 september
taalvolledig English
opleidingsduur2 jaar voltijd
accreditatiesNVAO
croho-code66981
numerus fixusnee
honoursnee
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.
Master's programme in Artificial Intelligence

Waarom aan de Radboud Universiteit?

awardKeuzegids beste opleiding
2016 : 1e plaats
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.
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.

Open dagen en meeloopdagen

Master Open dag

Nijmegen

Tijdens de Master Open dag op zaterdag 16 november maak je kennis met ruim 50 masteropleidingen en de 150 masterspecialisaties van de Radboud Universiteit. Alle opleidingen geven een voorlichtingsronde over zowel de master als de pre-master. Op de informatiemarkt presenteren alle opleidingen zich.

Master Open dag

Nijmegen

Tijdens de Master Open dag op donderdag 12 maart maak je kennis met ruim 50 masteropleidingen en de 150 masterspecialisaties van de Radboud Universiteit. Alle opleidingen geven een voorlichtingsronde over zowel de master als de pre-master. Op de informatiemarkt presenteren alle opleidingen zich.

Studieprogramma

Unsplashed background img 2
opbouw
The foundation courses are compulsory and give students of all specialisations of AI vital general knowledge about the current state of AI research and its potential implications on society. Reasoning about the AI approach to understanding human cognition is an inspiring way to pose and re-think philosophical questions.
Students are trained in this so that they'll be able to develop a broad intellectual viewpoint. The foundation courses also teach students basic academic skills such as writing and developing a research plan. Every specialisation consists of a set of three compulsory courses that form the core of that specialisation. In addition, a further three specialisation electives can be chosen from a specific list to deepen your knowledge within your chosen specialisation. Within the 9 EC of the restricted electives, you can choose other electives within your specialisation to further deepen your knowledge in that field of study. Alternatively, you can choose to broaden instead of deepen your knowledge by taking any elective from one of the other AI specialisations. Finally, you have a total of 12 EC of free electives that can be used to take any (AI relevant) course taught at Radboud University, or abroad. To finalise your AI master's programme, you have the choice of either an Internship (18EC) and Research Project (30EC) or a single larger Extended Research Project (48EC).

1e jaar
periode
Foundation Compulsory
Specialisation Compulsory
Specialisation Choice
Restricted Choice
Free Choice
2e jaar
periode
Foundation Compulsory
Restricted Choice
Free Choice
Internship and Research Project or Extended Research Project

specialisaties

specialisatie Intelligent Technology

You will learn the psychology of human language and communication and how computers can be used to model and understand this type of interaction data, be it textual, spoken, tweets or clicks.

In the Intelligent Technology track of the Master's programme in Artificial Intelligence, we concentrate on techniques in the broad field of communication and interaction between multiple intelligent agents (be they natural or artificial—and physical, or virtual) with a special focus on language.

We address theoretical problems such as: How language can arise and evolve in communities of intelligent technology? and How can an understanding of language and communication can be used to improve the interactions between intelligent technology? One particular application area we focus on is how to use artificial intelligence techniques to better understand and improve interactions between agents—be they chatbots, people, or robots.

You will learn how to process the large amounts of data from interactions that arise on the web, and in robot-human interaction. You will also learn how to build artificial agents and robots that interact with the physical and social environment. By building such systems you will learn more about how human cognition works.

specialisatie Cognitive Computing

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.

The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.

On the one hand, the Master's in Cognitive Computing addresses how models based on neural information processing can be used to develop artificial systems, such as neuromorphic hardware and deep neural networks, as well as the development of new machine learning and classification techniques to better understand human brain function and to interface brain and computer.

On the other hand it addresses various ways of modelling and understanding (the limitations of) cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics to resource-bounded computations in the brain, explainable AI, and neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner.

Onderwijs

taal van onderwijs100% en
avondonderwijsn.v.t.
afstandsonderwijsn.v.t.
onderwijsvormen
computer exercise, lecture, research, research proposal, tutorial, self study
objectives
After following an introductory course which will provide an insight in the current topics of Artificial Intelligence, you will continue with core courses that form the specialisation such as Bayesian and decision models in artificial intelligence, Advances in Human-Computer interfacing. You can also choose from a multitude of elective courses to further deepen your specialisation or to broaden your perspective by following electives from the Brain-Computer Interfacing specialisation.
study abroad
You are encouraged to go abroad for your internship and/or research project (previously students have gone to Stanford University in California and Aldebaran Robotics in Paris).

Toelating en kosten

startmomenten

1 september 2019

aanmelding deadline : 1 mei 2019
wettelijk tarief : € 2083 (€1042 in het eerste jaar)

1 september 2020

aanmelding deadline : 1 mei 2020
collegegeld nog niet bekend

inbegrepen in collegegeld
registration fee
examination

estimated monthly costs

bron: Nibud
bedragkostenpost
315kamerhuur in Nijmegenrond het landelijk gemiddelde
22internet+tv
152boodschappen/kostgeld
32telefoon
117verzekeringen
172collegegeldop basis van € 2060 per jaar
80studieboeken en -spullen
29drinken/snoep/snacks
77uiterlijkkleding, kapper, schoenen
30contributies/abonnementen
132vrije tijdstappen, uit eten, vakantie
42vervoernaast de OV-kaart
45overig

€ 1183totale maandelijkse uitgaven landelijk gemiddelde is € 1181
Hiernaast staat een overzicht van de gemiddelde kosten die een uitwonende student heeft. Niet iedere student heeft met iedere kostenpost te maken. Het totaalgemiddelde is dus niet gelijk aan de optelsom van alle kostenposten.

Bekijk ook de uitgebreide toelichting: wat kost studeren?

Studenten en studentenleven

studentaantallen

87 studenten volgen deze opleiding
23% daarvan is vrouw
7 eerstejaars gestart in 2017
29% daarvan is vrouw
20442 studenten aan de Radboud Universiteit
57% daarvan is vrouw
bron: StudieData

studievereniging

CognAC
studievereniging cognitiewetenschap

Op kamers in Nijmegen

41385studenten studerend
18288studenten woonachtig   
€ 315gemiddelde kamerprijs
kamer betaalbaarheid
20 m2gemiddelde kameroppervlak
kamer beschikbaarheid
bron: Nationale Studenten Enquête

Keuzehulp

Unsplashed background img 2

Studievergelijker

1/11 Radboud Universiteit
Artificial Intelligence
star Keuzegids beste opleiding 2016  1e
€ 315 gemiddelde kamerhuur
7 eerstejaars
28% vrouw
? uur contacttijd/week
100% Engelstalig
2/11 Radboud Universiteit
Cognitive Computing
gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
3/11 Radboud Universiteit
Intelligent Technology
gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
4/11
Intelligent Technology
gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
5/11
Cognitive Computing
gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
6/11 RUG
Artificial Intelligence
star NVAO
€ 303 gemiddelde kamerhuur
11 eerstejaars
18% vrouw
? uur contacttijd/week
100% Engelstalig
7/11 tUL
Artificial Intelligence
€ 308 gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
8/11 Maastricht University
Artificial Intelligence
€ 308 gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
9/11 UU
Artificial Intelligence
€ 336 gemiddelde kamerhuur
16 eerstejaars
31% vrouw
? uur contacttijd/week
100% Engelstalig
10/11 Amsterdam UVA
Artificial Intelligence
€ 424 gemiddelde kamerhuur
45 eerstejaars
17% vrouw
? uur contacttijd/week
100% Engelstalig
11/11 Amsterdam VU
Artificial Intelligence
€ 424 gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
100% Engelstalig
disclaimer: bovenstaande cijfers en beoordelingen zijn aangeleverd door de opleidingen zelf. Wij kunnen de juistheid niet garanderen.

Feiten en / studie in cijfers

studentoordelen

bron: Nationale Studenten Enquete
deze
opleiding
landelijk
algemeen oordeel4.13.9
inhoud3.93.7
docenten3.83.8
studiefaciliteiten3.93.7
studielast3.43.5
studiebegeleiding3.83.4
De Nationale Studenten Enquete is het grootschalige onderzoek van de overheid onder studenten in Nederland naar de kwaliteit van opleidingen aan hogescholen en universiteiten.
In 2017 hebben meer dan 280.000 studenten hun oordeel gegeven over hun studie en instelling.

Cognitive Artificial Intelligence aan de Radboud Universiteit is beoordeeld door 33 respondenten. Gemiddeld waarderen ze de opleiding met 4.1 uit 5.

Na de studie

Unsplashed background img 2

Beroepsperspectief / arbeidsmarkt

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.

aansluitende masteropleidingen

instellingopleidinginstroomeisen
TU EindhovenLeraar VHO Informatica educational+ aanv. eisen
TU DelftLeraar VHO Informatica educational+ aanv. eisen
bron: doorstroommatrix.nl

Potentiële beroepen

kennistechnoloog
bron: UWV

Contact

Jason Farquhar

Program Coordinator

Meer informatie?
Bezoek de website van deze opleiding.

open_in_newstudy website