Deze opleiding

!Deze opleiding communiceert alleen in het Engels.
We tonen daarom de Engelstalige opleidingsinformatie.
A two-year advanced programme focused on the understanding, design and creation of intelligent systems: e.g. game playing, robot control and analysing data.

The master's programme in Artificial Intelligence is a two-year programme taught entirely in English. The programme covers a wide range of subjects emphasizing the following eight research topics:
  • identifying patterns in large datasets
  • multi-agent systems of collaborating autonomous intelligent systems
  • situated agents
  • formal techniques for reasoning in agents
  • techniques for representing knowledge
  • intelligent techniques for playing and solving board games and controlling virtual characters in video games
  • extracting interesting and non-trivial information and knowledge from unstructured text
  • machine learning techniques

The impact of the field of Artificial Intelligence is pertinent due to the key role it plays for technological applications that have become indispensable in society including data mining, automated trading software in real markets, interactive computer games, intelligent network routing on the internet, robotic space exploration, sensor networks for medical applications and many more. In this programme you are trained to become and expert and capable of dealing with today's and future challenges in the field of Artificial Intelligence.
open_in_newstudy website

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locatieMaastricht
diplomaMSc Artificial Intelligence
typeregulier, 120 EC
start1 februari, 1 september
taalvolledig English
opleidingsduur2 jaar voltijd
accreditatiesNVAO
croho-code66981
heeft geen numerus fixus
geen honoursprogramma
Campus Tour Department of Data Science and Knowledge Engineering
Double Master Student Operations Research & Artificial Intelligence Sjoerd

Waarom aan de Maastricht University?

The master's programme is designed around the Project-Centred Learning teaching method. This educational model is small-scale and student-oriented. You work in small groups on complex and challenging projects that require you to develop a variety of skills such as writing and presentation skills. You also immediately apply what you have learned from the course material and lectures to real life problems.

Open dagen en meeloopdagen

Master's Open Day Maastricht
Are you looking for a master's programme with a global perspective to kick-start your career? Maastricht University offers what you are looking for!

Studieprogramma

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1e jaar In the first year you will follow courses on topics concerning machine learning, multi-agent systems, intelligent search, games and knowledge discovery. The courses on these topics are complemented with two projects that enable you to combine and apply what you have learned in these courses.
2e jaar In the first semester of the second year you have the opportunity to pursue your own interests within the field. You can participate in an international exchange, take elective courses, or do an internship either in industry or at the university. In the second semester you write your master's thesis on a research topic of your interest.

Onderwijs

taal van onderwijs100% en
onderwijsopzet40% zelfstudie
15% theorie
45% praktijk
avondonderwijsn.v.t.
afstandsonderwijsn.v.t.
onderwijsvormen
internship, research, research project, traineeship, tutorial, lecture, working group, group assignment, self study
instruction modes
The master's programmes are designed around Project-Centred Learning (PCL) teaching method. The PCL educational model is small-scale and student-oriented. You work in small groups on complex and challenging problems that require you to develop a variety of skills such as writing and presentation skills and working in a team. The skills you learn are an important preparation for your future career.
study abroad
The programme offers students the opportunity to study abroad for a semester with one of our well-established partner universities such as Aarhus University in Denmark, Université de Montreal in Canada, Reykjavik University in Iceland, UESTC in China, Sapienza in Rome and Universiteit Hasselt in Belgium.
exchange programs
  • Aarhus University Aarhus University - Denemarken
  • Dauphine Université Paris Dauphine Université Paris - Frankrijk
  • La Sapienza Università di Roma La Sapienza Università di Roma - Italie
  • Monash University Monash University - Canada
  • Reykjavik University Reykjavik University - Ijsland
  • UESTC UESTC - China
  • Université de Genève Université de Genève - Zwitserland
  • Université de Montréal Université de Montréal - Canada

Toelating en studiekosten

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startmomenten

1 februari 2018
aanmelding deadline : 1 januari 2018
wettelijk tarief : € 2060
instellingstarief : € 17500
niet-EU/EER studenten : € 17500
1 september 2018
aanmelding deadline : 1 augustus 2018
wettelijk tarief : € 2060
instellingstarief : € 17500
niet-EU/EER studenten : € 17500
toelaatbare profielen
WO bachelorApplicants with a bachelor’s in Knowledge Engineering or Science or an equivalent diploma in a field related to Knowledge Engineering must have:
• a Graduate Record Examination (GRE) score of 4 or higher (scores between 3.0 and 3.9 will be decided by the Board of Admissions, and below 3.0 means no admission)
WO masterApplicants with a bachelor’s in Knowledge Engineering or Science or an equivalent diploma in a field related to Knowledge Engineering must have:
• a Graduate Record Examination (GRE) score of 4 or higher (scores between 3.0 and 3.9 will be decided by the Board of Admissions, and below 3.0 means no admission)
hbo bachelorApplicants with a HBO bachelor’s in Knowledge Engineering or a related field must have:
• proof of completion of a preparatory programme of 30 ECTS
• a Graduate Record Examination (GRE) score of 4 or higher (scores between 3.0 and 3.9 will be decided by the Board of Admissions, and below 3.0 means no admission)
toelatingseisen

taaltoets
Bewijs van Engelse taalvaardigheid door middel van een IELTS test of TOEFL. Behalve als de moedertaal van de student Engels is of als de student het middelbare onderwijs in een EU/EEA land heeft gevolgd.

vooropleiding

  • een Bachelor of Science degree in Knowledge Engineering
  • een Bachelor of Science degree of een vergelijkbaar diploma in een vergelijkbaar werkveld als Knowledge Engineering. De board of admissions bepaalt of de studie relevant is.
  • een HBO Bachelor of Science in Knowledge Engineering of een gerelateerd werkveld (zoals wiskunde, informatica of kunstmatige intelligentie) deze studenten moeten wel het prepatory programma van Knowledge Engineering afgerond hebben.

motivatiebrief
Motivatie essay van 2 pagina's

studie kosten
bron: Maastricht University
bedrag kostenpost
€ 571levensonderhoud
€ 30studiematerialen
€ 311visa/permitin het eerste jaar
€ 350
inbegrepen in collegegeld
registration fee
certificate
examination

estimated monthly costs

bron: Nibud
bedragkostenpost
308kamerhuur in Maastrichtrond het landelijk gemiddelde
22internet+tv
152boodschappen/kostgeld
32telefoon
117verzekeringen
158collegegeldop basis van € 1906 per jaar
80studieboeken en -spullen
29drinken/snoep/snacks
77uiterlijkkleding, kapper, schoenen
30contributies/abonnementen
132vrije tijdstappen, uit eten, vakantie
42vervoernaast de OV-kaart
45overig

€ 1176totale 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

? studenten volgen deze opleiding
?% daarvan is vrouw
? eerstejaars gestart in
?% daarvan is vrouw
16009 studenten aan de Maastricht University
59% daarvan is vrouw
bron: HBO-raad/VSNU

studievereniging

MSV Incognito
studieverenging Kennistechnologie

Op kamers in Maastricht

20231studenten studerend
9323studenten woonachtig   
€ 308gemiddelde kamerprijs
kamer betaalbaarheid
24 m2gemiddelde kameroppervlak
kamer beschikbaarheid
bron: Nationale Studenten Enquête

aan het woord: studenten en docenten

Philippe Uyttendaele
werkzaam als PhD student
Philippe Uyttendaele, PhD student

-When I reached the end of my bachelor, I wanted to extend my knowledge about the subjects seen in the courses. Thus, I decided to continue with a Master's study. Maastricht was a great choice for it because it had both an innovative and dynamic way of teaching while keeping a great quality.

The Project-Centred Learning (PCL) approach made me responsible of my learning by setting milestones while leaving space for my creativity. This gave me the taste for research and is one of the reasons why I am now doing a PhD...
This allows for easy contacts with the teaching staff and other students as well as having great career prospects and opportunities.

Today I am not regretting my choice; the knowledge acquired over the years has given me the ability to build a strong basis for my career. The PCL has given me the skill to find the tools I need to perform a task but also to set up short and long term goals to successfully achieve a task. Not only is it a key for a successful research project like a PhD, but also in the every day life.


lees verder ...
Rik Claessens
werkzaam als PhD Department of Computer Science bij University of Liverpool
The decision to study the Bachelor Knowledge Engineering and the Master Artificial Intelligence has proven to be a very good one. The study programme provides me with a solid foundation in the very multi-disciplinary field of AI. Alongside the traditional courses, you're always working on a group project that is related to the courses during the running semester. Also, the practical assignments that are part of the courses require you to really gain in-depth knowledge about the topic. In my vision, theoretical knowledge is important but how you apply this knowledge is what matters most...
I chose to do an internship at the Thales Research & Technology D-CIS Lab in Delft, where it was possible to stay for my master thesis as well. During my work in Delft I got a job offer from Thales as well as an offer to pursue a PhD at the Department of Computer Science at the University of Liverpool.

This great opportunity allows me to gain valuable work experience while at the same time research innovative applications in the domains of information fusion and autonomous systems.


lees verder ...

Keuzehulp

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Studievergelijker

1/10 Maastricht University
Artificial Intelligence
€ 308 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
2/10 Rijksuniversiteit
Artificial Intelligence
star NVAO
€ 303 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
3/10 Radboud Universiteit
Robot Cognition
€ 315 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
4/10 Radboud Universiteit
Computation in Neural and Artificial Systems
€ 315 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
5/10 Radboud Universiteit
Artificial Intelligence
star Keuzegids beste opleiding 2016  1e
€ 315 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
6/10 Radboud Universiteit
Web and Language Interaction
€ 315 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
7/10 tUL
Artificial Intelligence
€ 308 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
8/10 Utrecht
Artificial Intelligence
€ 336 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
9/10 UvA
Artificial Intelligence
€ 424 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
10/10 Amsterdam VU
Artificial Intelligence
€ 424 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
disclaimer: bovenstaande cijfers en beoordelingen zijn aangeleverd door de opleidingen zelf. Wij kunnen de juistheid niet garanderen.

Na de studie

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Beroepsperspectief / arbeidsmarkt

The master's in Artificial Intelligence is for students who are fascinated by the use of intelligent computer systems for complex applications. The programme is intended for students who have a background in knowledge engineering, artificial intelligence, computer science and applied mathematics. If you have a bachelor's degree in other disciplines and sufficient knowledge of computer science, mathematics and logic, the master's in Artificial Intelligence may be for you.
Graduates of the Artificial Intelligence master's programme have gone on to work in:

  • Large knowledge affluent companies like Philips, Google, Shell, Vodafone and Getronics. They mostly work in managerial, tactical and policy functions
  • Their own company. Some students (successfully) started their own company alone or together with other students
  • PhD positions at an university or a research centre


current job market

aansluitende masteropleidingen

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

Potentiële beroepen

  • business engineer
  • business intelligence specialist
  • business manager global client solutions
  • consultant datamining
  • consultant financial risk management
  • consultant modeling, simulation & gaming
  • data mining specialist
  • data scientist
  • forecaster / analyst
  • front end developer / technical engineer
  • game designer
  • integration consultant
  • ios and artificial intelligence engineer
  • it consultant
  • it development & support manager
  • it officer analist
  • junior software developer
  • mobile developer
  • research scientist
  • researcher media mining
  • scientific programmer
  • senior software consultant
  • software developer
  • technical analyst
  • technical consultant
  • webdeveloper (php / drupal)
bron: StudieData

Contact

Aisha Weerts

Communications Officer

Céline Duijsens

Admissions

Meer informatie?
Bezoek de website van deze opleiding.

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