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What will I learn?

The Artificial Intelligence master’s programme focuses on the development and application of computer systems that simulate human intelligence, learning, reasoning and collaboration. These systems are used to solve challenging problems in today's world.

The master's programme covers the following research topics:

  • data mining to explore relations in datasets
  • multi-agent systems of collaborating autonomous intelligent systems
  • situated agents, such as robots, that can operate in environments using uncertain observations
  • formal techniques for reasoning in agents
  • intelligent techniques for playing and solving board games and controlling virtual characters in commercial video games
  • extracting interesting and non-trivial information and knowledge from unstructured text
  • machine learning to find patterns and make predictions in and about data

Artificial Intelligence in Maastricht has a strong focus on computer science and offers (more than similar programmes in the Netherlands) lots of math and mathematic modelling, data science and technical aspects. As a student you can combine core courses and elective courses in the first year, hereby directly implementing the learned knowledge into practice with our Project-Centred Learning method. While our second year gives you the opportunity to choose electives to fit your personal needs and build towards your future perspective.

Your future

After you've graduated, you'll be able to develop computational solutions to problems and provide up-to-date scientific and technological advice. These skills can be applied to problems in a wide variety of settings. You could, for example, end up in a research position at a university, research institute or a research-oriented company. But the programme also provides you with a good basis for a career in management or consultancy.

Career paths

Business sector

Graduates with a background in Artificial Intelligence are great assets to companies that process large amounts of data. They work as software developers, consultants or managers. Others have started their own company where they, for example, provide advice on the optimisation of business processes.

University or research centre

Some Artificial Intelligence graduates continue on to a career in science because they would like to further expand their knowledge of topics such as information management or innovative learning. They pursue PhDs and become researchers and/or instructors in their area of expertise. This means that they share their knowledge, publish scientific research, collaborate with (international) partners and secure research funding.

Career prospects

  • Graduates of the Artificial Intelligence master’s programme have gone on to work in:
  • large multinationals like Philips, Google, Shell, Vodafone and Getronics where they work as software developers or data scientists.

Which department am I in?

Faculty of Humanities and Sciences

Study options

Full Time (2 Years)

Tuition fees
€16,800.00 (13,72,549) per year
Statutory fee for this programme is € 2,083
Start date

Expected September 2022

Venue

Maastricht University

Minderbroedersberg 4-6,

MAASTRICHT,

Limburg,

6211, Netherlands

Entry requirements

For students from United States

Applicants must have eligible for admission if you have a bachelor's degree from a relevant academic field, for example, philosophy or sociology. English language requirements: IELTS (6.5); TOEFL Paper-based test (575); TOEFL Internet test (90); TOEIC listening and reading (720) and speaking and writing (310); Cambridge [Advanced (CAE) Grade C (scale 180-184), First Certificate in English (FCE) Grade A (scale 180-184), First Certificate in English (FCE) Grade B (scale 176-179)].

For international students

Graduates from a university bachelor's programme in a related field

You are eligible for assessment by the Board of Admission if you have a BSc or an equivalent diploma in Artificial Intelligence or a related field such as Computer Science, Data Science, and Applied Mathematics.

The relevant competences are:

Computer Science: including software development, data structures & algorithms
Programming: Experience in object-oriented languages e.g. Java, C#, C++, Python
Mathematics: including calculus, linear algebra, probability and statistics

IELTS: 6.5

TOEFL: 90 (internet-based), 232 (computer-based), 575 (paper-based)

Cambridge CAE: Grade C

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