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What will I learn?

Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. Natural language processing of the type used in smart phones or Google Translate has become commonplace. Characters in virtual worlds are becoming smarter, leading to more natural, interesting, and useful experiences in computer games and simulations. In California, self-driving cars with sensors and GPS are tested that can autonomously drive you to your destination. Research shows that we can enhance human cognitive functions by directly linking the brain to a computer. IBM’s Watson system, which defeated the best human players in the popular American TV quiz Jeopardy, shows that large-scale knowledge based systems can have practical use.

The Master’s in Artificial Intelligence offers you an integrative and cutting-edge approach to the field from the viewpoints of Informatics, Logic, Cognition, Psychology, Philosophy, and Linguistics.

Students can choose from three tracks:

  • Agents
  • Cognitive processing
  • Reasoning

Programme Objective

As a graduate of the Artificial Intelligence programme, you will have a solid understanding of the logical, philosophical, and cognitive foundations of AI research. You will also have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one of the areas within multi-agent systems, reasoning, or cognitive processing. In addition, you will have the skills to carry out AI research in academic or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organisations.

AGENTS

An intelligent agent is an artificial (computer-based) entity that can act proactively, reactively, autonomously, and rationally in a dynamic environment. In this track, you will focus on the logical modelling, programming, and application of intelligent agents and multi-agent systems. You will also explore the use of probabilistic and sub-symbolic machine learning techniques to make agents learn and adapt to their environments as well as to other agents.

COGNITIVE PROCESSING

The cognitive processing track focuses on how AI techniques can help to understand human behavior and cognition. Specifically, you learn how human behavior can be captured in computer simulations (cognitive models) and how the predictions of these simulations can be tested in experiments. In the track you gain theoretical knowledge about and hands-on experience with modeling and experimentation.

REASONING

The ability to reason is one of the primary forms of intelligence. Since language and reasoning are closely intertwined, the study of language is an important component in the study of reasoning. In this track, you will address the questions of what correct reasoning is, how people can rationally reason with incomplete and uncertain information and resolve conflicts of opinion, and how reasoning and language interact.

Which department am I in?

Faculty of Humanities

Study options

Full Time (2 years)

Tuition fees
€20,473.00 (16,53,716) per year
Start date

Expected September 2022

Venue

Utrecht University

Heidelberglaan 8,

Utrecht Science Park / De Uithof,

Utrecht,

3584, Netherlands

Entry requirements

For students from United States

Applicants will be considered for admission to the Research Master’s programme in Religious Studies if you can demonstrate the following knowledge, insight, and skills: A relevant Bachelor’s degree (or equivalent) in the humanities or in one of the social sciences; Proven interest in Religious Studies, as evidenced in a minimum of 30 EC in a relevant field at the Bachelor’s level; Knowledge of basic concepts in Religious Studies and insight into relevant methods; A high standard of academic achievement, as evidenced in an overall grade point average and a Bachelor’s thesis grade equaling “good” or better in the applicable national system. (Typically, Dutch grade 7.5; US grade B; ECTS grade C.) English language requirements: ELTS, Academic Module. Minimum score: 6.5 overall band, at least 6 for writing. TOEFL, iBT. Minimum score: 93 with at least 24 reading, 22 listening, 20 speaking, 17 writing (internet-based test), institutional scores are not accepted. Cambridge Certificate in Advanced English, at least a B grade. Cambridge Certificate of Proficiency in English, at least a C grade.

For international students

Applicants holding one of the following bachelor degrees are assumed to satisfy these requirements:

  • A BSc in Artificial Intelligence from a Dutch University which is organized in KION (Kunstmatige Intelligentie Opleidingen Nederland)
  • A BSc in Artificial Intelligence or Computer Science from Utrecht University

Degrees in all probability meeting the above requirements are:

  • A BSc with a major in Artificial Intelligence
  • A Bsc with a major in Computer Science
  • A BSc with a major in one of the following subjects, with some Computer-Science or AI-related courses:
  1. Cognitive Science
  2. Linguistics
  3. Philosophy
  4. Psychology
  • A Dutch HBO diploma in Computer Science with a suitable programme.

Other English language requirements: Cambridge Certificate in Advanced English, at least a B grade; Cambridge Certificate of Proficiency in English, at least a C grade.

*There may be different IELTS requirements depending on your chosen course.

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