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.

“The decision to continue my studies here was obvious because I love both the city and the university. Additionally, I have a strong affinity for Maastricht University's project-centred learning approach. Being able to select the courses I will take is also something I consider to be positive. Next, a significant opportunity provided by Maastricht University is the possibility of taking part in an internship, which I find very attractive.

Besides the great curriculum, I decided to pursue my master here because of the vibe of the city and what it offers to its student.”

How would you describe Project Centred Learning?

"I think that project-centred learning is a great way of applying our knowledge to real-world problems. It is a good way to develop your teamwork and presentation skills. It also allows me to become more practical and learn a great deal about how to apply my knowledge to different cases. It’s also a good opportunity to connect with fellow students and learn from them."

What was your first impression of your master’s programme at Maastricht University?

"My first impression of the programme was positive, as expected! It was everything that I wanted when I decided to stay here for the master's. It was great to meet new students from different backgrounds and learn from them when working on the projects. I also really liked that we could choose our project for the semester."

What do you think of Maastricht as a city?

“It’s quite fancy, cute, and packed with students. It has a great atmosphere for students. The city has many places to chill; for example, after classes, I love having a drink at Tapijn with friends when classes are over. There’s always a good vibe going on. I also like how everything in the city is reachable by foot or bike. There are numerous activities available, such as bowling, movies, escape games, and sports.”

Other testimonials

  • Marcell Ignéczi
    Marcell Ignéczi (Hungary), Bsc Data Science and Artificial Intelligence / Msc Data Science for Decision Making
    The theoretical knowledge I gained from the programme is something I would never have learned on the job.
  • 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
    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
    The Data Science for Decision Making master's programme sits on the crossroads of Data Science, Applied Mathematics/Operations Research and AI.
  • Kristian van Kuijk
    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.
  • 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.
  • 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.