Tim Dick (Germany), Data Science for Decision Making
We do lots of brain storming, write some code or set up some math. We get regular advice from the project supervisor. Sometimes the advice is very helpful. Other times it is not helpful.

“We do lots of brain storming, write some code or set up some math. We get regular advice from the project supervisor. Sometimes the advice is very helpful. Other times it is not helpful. I think this requires more autonomy on the student side. Towards the end we will have developed a working prototype of an algorithm or an app that we can demonstrate.”

Which courses are most interesting?

I really liked the mathematics courses a lot. This includes signal and image processing, computational statistics and symbolic computing. I like the balance of theory and praxis. The teachers are very knowledgeable and like to answer all my questions.

How is the contact between you, your lecturers and fellow students?

I stand in very good contact with my lecturers and fellow students. I think this is due to the flat hierarchical organisation of the Dutch culture. People here are very down to earth. It is quite normal to joke around with peers, go out for bike trips or city trips, do sports or have dinner together. We study, work and life together. I would describe my social environment as very friendly. However, I also see that some students are lonely. I recommend just talking to them and including them. We are all in this together.

Where do you see yourself in 5 years from now?

Working on brain computer interfaces. I have a background in psychology and neuroscience and I would like to combine it with my artificial intelligence and data science degrees. It would be inspiring to help disabled people restore some of their normal life with the help of computers. In particular, people who cannot control their limbs anymore due to paralysis can benefit from brain computer interfaces that read people’s mind directly. Whenever I think about it, I feel like it comes from a science fiction movie. Yet, there are many people working on this technology already and I feel well prepared to contribute.

Other testimonials

  • Aaron Schapira
    Aaron Schapira (Belgium) Data Science For Decision Making
    The decision to continue my studies in Maastricht was obvious because I love both the city and the university. Additionally, I have a strong affinity for Maastricht University's project-based learning approach.
  • Arthur Goffinet
    Arthur Goffinet (Belgium), Data Science For Decision Making
    I love living in Maastricht. The people are warm and friendly. As a member of one of the student associations, I truly enjoy the city's student life. In my spare time, I sail with the sailing association, climb, and read about new developments in data science and artificial intelligence.
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    Paul Disbeschl, Data Science for Decision Making
    It was the excellent education that put this programme at the top of my list
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    Bianca Massacci, (Italy), Data Science for Decision Making
    For a lot of us, internship and thesis are a springboard to getting a job post-graduation. I was also attracted by the Project Centered Learning approach for a similar reason to that of the internship and thesis: I learn a lot through practice, and the more hands-on experience, the better!
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    Mark Winands, Full Professor and Chair of the Department of Advanced Computing Sciences
    In this programme, you will not only talk about AI, but you will 'do' AI!
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    Kristian van Kuijk (France), Data Science for Decision Making
    Maastricht is such a vibrant student city. Students are everywhere! There are also so many bars and pubs that there is a cosy place for everyone
  • Carlos Soto Garcia-Delgado
    Carlos Soto Garcia-Delgado (Spain), Data Science for Decision Making
    The Department of Advanced Computing Sciences of Maastricht University has been doing research since 1987; surely 35 years ago not many people knew what Artificial Intelligence was. The experience of this department is why I came to study my bachelor’s in the first place.
  • Sree Showrya Kotala
    Sree Showrya Kotala, (Qatar), Data Science for Decision Making
    I see myself working in research, using my cultural background to integrate teams working all around the globe. Investigating state-of-the-art techniques and methods to help solve problems that we might not even know exist yet.
  • Marc Pont, alumnus Data Science for Decision Making
    Marc Pont, Data Science for Decision Making
    I’m surprised by the recentness of the knowledge that I gained
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    Christos Thomas, Data Science for Decision Making
    A very nice place in my faculty is the Swarmlab, where you get access to equipment you don’t usually have