M.Sc. Artificial Intelligence

  • On Campus
  • 24 months
  • EUR12000 Year (Non-EEA)
  • English (Find a course)
University of Amsterdam | Amsterdam, Netherlands
The programme has a strong technical component. The focus is on development and understanding of intelligent computational processes to create useful artefacts and to better understand intelligence.

Description of Artificial Intelligence


The programme has a strong technical component. The focus is on development and understanding of intelligent computational processes to create useful artefacts and to better understand intelligence.

The Master's programme in Amsterdam has a technical approach towards AI research. It is a joint programme (from September 2015 onwards) of both the University of Amsterdam and VU University Amsterdam. This collaboration guarantees a wide range of topics, all taught by researchers who are experts in their field. To provide all students with a full understanding of the spectrum, the programme starts with the following courses on core topics in Artificial Intelligence: Multi-Agent Systems Computational Intelligence Computer Vision Information Retrieval Knowledge Representation Machine Learning Natural Language Processing After the core topics you can continue with advanced courses in the same areas. It is also possible to take courses in other AI topics, or to explore combinations. The Data Science specialisation for example combines advanced Machine Learning with Visualization and High Performance Computing. Another option is Artificial Intelligence and the Web, with a combination of Information Retrieval, Knowledge Representation and web-based technology.

Detailed Course Facts

Application deadline Start in 1 February: December (non-EEA: October). Start in 1 September: May (non-EEA: February).
Tuition fee
  • EUR 12000 Year (Non-EEA)
  • EUR 1906 Year (EEA)
Start date February  2016, September  2016
Credits (ECTS) 120 ECTS
Duration full-time 24 months
Delivery mode On Campus
Educational variant Full-time

Course Content

Programme internationalization:

    This programme has a workload of 120 ECTS.


    Computer Vision:

    The Computer Vision track is focused on methods and techniques for systems that interpret sensory information of different modalities and use the information to generate goal-directed behaviour.

    Machine Learning:

    The Machine Learning track is about algorithms, models for learning, theories that explain why algorithms work, multi-agent reinforcement learning and transfer learning for multiple modalities.

    Natural Language Processing:

    In the Natural Language Processing track you will study the statistical models for complex language processing tasks such as parsing, language modeling and machine translation.

    Information Retrieval:

    In this specialisation you will learn methods and techniques for the design, implementation, and use of information processing technology in the context of a variety of Internet applications.


    The track Gaming provides you with expertise in the field of game-oriented systems. You will learn methods and techniques for the design and implementation of intelligent multimedia systems.

    Requirements for Artificial Intelligence

    Previous education

    Grade average

    Additional language requirements:

    • Cambridge Certificate in Advanced English: B1
    • Cambridge Certificate of Proficiency in English: B1
    • IELTS overall band: 6.5
    • IELTS listening: 6
    • IELTS reading: 6
    • IELTS writing: 6
    • IELTS speaking: 6
    • TOEFL paper based: 580
    • TOEFL computer based: 235
    • TOEFL internet based: 90

    Work Experience for Artificial Intelligence

    No work experience is required.

    More Information


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    University of Amsterdam, Netherlands

    Netherlands A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 250 study programmes (Bachelor's and Master's), many of which are taught in English, it is one of the larger comprehensive universities in Europe.

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