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

“Maastricht is such a vibrant student city. Students are everywhere! There is also so many bars and café that there is a cosy place for everyone. One of the best things about Maastricht is everything is right at your doorstep, you will never end up biking more than 20 minutes to go from one place to another.”

Why did you choose your master’s programme at Maastricht University?

Well, I did my bachelor’s Data Science and Artificial Intelligence at Maastricht University. This master’s just seemed like the perfect continuation. I truly enjoyed the quality of education during the bachelor’s, as well as the opportunities to apply knowledge to solve an exciting problem through Project Centred Learning. Besides, something I believe is unique to Maastricht University is the international environment. Of all my classmates and teachers, 80% are non-Dutch.

How is your student life?

Thrilling! It can be hard at first since the master’s programme is quite demanding, but once you find the right balance and get up to speed, you realize there is just so much to do in Maastricht. However, to be honest, getting some drinks with friends and playing tennis when I am not studying are probably the highlights of most of my weekends. I’m really into cycling and tennis. I’m actually part of M.S.T.V. Stennis, the tennis student association here in Maastricht

What are your plans after graduating? 

I must admit, I did not gave this many thoughts yet. Probably, I will be working as a data scientist in the industry. There are so many opportunities out there within the Netherlands and the Euregion. I had the chance to apply data science and artificial intelligence in sport analytics during my bachelor’s and master’s study. Continuing in this field would be amazing!

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.
  • Male student holding up a sword
    Paul Disbeschl, Data Science for Decision Making
    It was the excellent education that put this programme at the top of my list
  • A picture of a girl
    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!
  • Man standing behind futuristic see-through computer screen
    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!
  • 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.
  • Tim Dick
    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.
  • 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
  • Christos_Thomas_Testimonial Operations Research
    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