Partner program master
Artificial Intelligence
Are you an analytical thinker who enjoys working on intelligent computer systems? Would you like to know more about topics such as data mining, machine learning and information retrieval? If so, the master in Artificial Intelligence is the right choice for you. You’ll learn how to use and develop computer systems that can learn from experience, recognise patterns in vasts amounts of data and reason strategically in complex decision-making situations. The programme is very flexible, which means you can tailor it to your interests and ambitions. You’ll also have the opportunity to work on real-life cases provided by different organisations, giving you all the preparation you need to pursue a career as an artificial intelligence specialist at a research institute or company.
This programme is taught by the Department of Advanced Computing Sciences.
Fast facts
- learn about systems that simulate human intelligence
- no numerus fixus
- 2-year, full time master's programme, taught in English
- starts in September and February
- weekly: 8 hrs classes, 32 hrs group work/individual study
- you’ll get an MSc in Artificial Intelligence
Kickstart your career at our Master's Open Day
Experience Maastricht University: find out more about one of the most international universities in Europe, immerse yourself in your programme of choice, and explore our beautiful city.
Take our online tour
What's it like to study at the Department of Advanced Computing Sciences? Find out through the online tour, featuring in-depth information about our teaching method, our favourite memories of the past year, the opportunity to talk to students, a building tour, snacks and more.
You can always drop in to ask the teachers questions; you’re usually on a first-name basis, which makes it that much easier
News
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Giving a scientific push to cyclists at the Tour de France
Friday, July 1, 2022Read moreWriting a thesis can be a lot of fun, particularly when you choose a subject that’s related to your favourite hobby. For Kristian van Kuijk, an avid cyclist, it’s even led to a dream come true. He’s found an accurate way to predict the energy burned by a rider during a race. The algorithm has impressed Team Jumbo-Visma, who are using Kristian’s predictions in this month’s Tour de France.
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New ‘supergroup’: DKE and IDS jointly become Department of Advanced Computing Sciences
Friday, June 17, 2022Read moreThe new department broadly covers research and education in artificial intelligence, computer science, data science, mathematics and robotics. Over 100 staff members find their home in the new group, which is embedded in the Faculty of Science and Engineering.
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Thesis awards for Data Science and Artificial Intelligence students
Tuesday, May 17, 2022Read moreCongratulations to Anna-Lena Krause, Krzysztof Cybulski and Frederik Calsius!
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David Groep appointed as endowed professor of e-Infrastructure
Tuesday, May 3, 2022As of 1 April 2022, David Groep holds an endowed chair at the Department of Data Science and Knowledge Engineering. His work revolves around the complex, large-scale ICT infrastructures that provide a foundation for similarly cutting-edge research.
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SURF joins Maastricht University and partners in efforts in the field of quantum computing
Tuesday, April 5, 2022Maastricht University, Nikhef, CERN and SURF will address some specific challenges for the LHCb experiment in order to determine which elements of the data analysis chains are best suited for a quantum computing approach.
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Multi-million investment jump-starts ambitious Dutch mobility programme
Tuesday, November 30, 2021Two large consortia of Dutch companies and knowledge institutes in the mobility and transport sector will receive 47 million euros in government funding to realize breakthroughs in electrification and hydrogen applications in automotive, maritime and air transport.
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DKE student wins Q-Park Student Award
Thursday, November 4, 2021Q-Park announced the winners of its annual Student Awards this week. Mateusz Wiza was one of the winners to receive a €1.500 cash prize for his thesis.
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ROBUST and reliable: UM part of 10-year AI research programme
Wednesday, October 6, 2021Professor of Explainable Artificial Intelligence Nava Tintarev will be a co-investigator and chair for the integration of humanities and social sciences in ROBUST, a consortium applying for an NWO grant with a total budget of 95M (25M from NWO) to carry out long term research into reliable artificial intelligence (AI).
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UM part of ROBUST: Trustworthy AI-based systems for sustainable growth
Tuesday, September 21, 2021To realise the promise of artificial intelligence to contribute to today’s societal challenges, trust is a central component of the interaction between people and systems based on artificial intelligence.
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Meet Prof. Nava Tintarev, full professor of Explainable Artificial Intelligence
Wednesday, June 2, 2021Prof. Nava Tintarev joined Maastricht University in October of last year. She focuses on Explainable Artificial Intelligence, which has an important societal component to it.
Read more
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