Student review [#98933] for B.Sc. in Artificial Intelligence
at Vrije Universiteit Amsterdam - VU Amsterdam

My experience studying Artificial Intelligence at Vrije Universiteit Amsterdam has been intense, challenging, and formative in a way I did not fully expect when I started. The programme is strongly theory-driven and becomes progressively more demanding, especially once you move beyond the introductory courses into machine learning, probability, optimization, and algorithms. This is not a programme where you can coast by memorising slides. You are constantly expected to understand why methods work, not just how to apply them.

Courses like Machine Learning, Reinforcement Learning, Neural Networks, and Advanced Mathematics stood out to me in particular. The mathematical depth, especially in probability, linear algebra, and optimization, is significant and can feel overwhelming at times. There were moments where concepts only truly clicked after long independent study sessions outside of lectures. At the same time, this depth pushed me to think rigorously and develop real problem-solving skills that go beyond AI buzzwords.

Later in the programme, courses related to robotics, numerical methods, and simulation further shaped my interests. These courses demanded careful implementation, debugging, and theoretical understanding, often with open-ended assignments that mirrored real research problems. While this could be frustrating when guidance was limited, it taught me how to work independently, read academic papers, and deal with uncertainty, which turned out to be one of the most valuable skills I gained.

The quality of teaching varies between courses, but many lecturers are clearly experts in their field and expect a high level of engagement from students. You need to be proactive: ask questions, attend tutorials, and take responsibility for filling in gaps yourself. This programme rewards curiosity and persistence, but it can be unforgiving if you fall behind.

Outside coursework, VU’s academic environment helped prepare me for research. This became especially clear during my research internship abroad, where I realized how well the programme had trained me to handle mathematical models, complex codebases, and theoretical reasoning. The transition into research felt challenging, but not unfamiliar.

Campus life at VU is international and relatively calm compared to other universities. You meet students from all over the world, and collaboration is a big part of the experience. The campus facilities and libraries are solid and become essential during exam periods. Studying in Amsterdam is a major plus: the city is well connected, vibrant, and student-friendly, even though the cost of living is something future students should seriously consider.

Overall, the AI programme at VU Amsterdam is demanding, sometimes frustrating, but genuinely strong. It is best suited for students who enjoy theory, mathematics, and deep understanding rather than quick applications. If you are willing to put in consistent effort and take ownership of your learning, it provides a solid foundation for research-oriented paths and technical careers.