💼Career Prospects
Career paths and opportunities after graduating from the AI bachelor.
Graduates of the AI bachelor end up in all sorts of roles: machine learning engineer, data scientist, AI researcher, software engineer, AI consultant, and others. Some go straight into industry, but many do a master's in AI or Computer Science first.
The technical and mathematical training you get is broadly applicable, so you're not locked into one specific career path after graduating.
The market is on your side right now
AI is one of the few fields where demand is running ahead of supply. Companies want people who can build with these systems, judge their output and explain what they are doing, and there are not many graduates who can do all three. Meanwhile the low-level details of computers matter less to most programming jobs than they did ten years ago, so an AI degree reads as more current than a general CS one to a lot of hiring managers.
If you feel the CS foundations are thin, the year-three minor is 30 EC of free space. Use it for algorithms, systems or software engineering and you close the gap without losing the AI label.
Amsterdam makes the practical side easier
Finding a part-time job, an internship or a side gig is noticeably easier here than in a smaller university town. The Zuidas is a short bike ride from campus, and it is full of consultancies and financial firms hiring people who understand AI but do not want to write code all day. If that describes you, you are in close to the best possible location for it.
A degree alone is not enough
This is the part nobody puts in the prospectus. Your diploma gets you past a filter. What gets you the actual role is usually one of two things:
People. Go to events that genuinely interest you, not the ones you think will look impressive. AISO runs events for exactly this crowd and is an easy starting point, and STORM organises company visits and career evenings. A conversation at one of those turns into an internship far more often than a form on a careers page does.
Projects you actually needed. Build something that solves a problem you have. That constraint matters more than the tech stack, because it is the reason you will finish it, and finished projects are the ones you can talk about with real detail when someone asks. Put them on GitHub. A profile showing you build things outside of coursework is what separates you from the pile of candidates submitting the same graded assignments.
On generative AI: use it, and learn the fundamentals underneath it anyway. The people who understand what the model is doing are the ones who stay useful when it hands them a confident wrong answer.
Free career help from VU
- CareerSet CV review. Upload your CV and get automated feedback, free, via VU Career Services. Faster than asking a friend and more honest too.
- Alumni in the Spotlight. The CS department runs on-campus alumni talks through the year, with pizza and time to network afterwards. Announced on Canvas.
- Teaching assistant work pays, deepens your understanding of a course, and looks good on a CV. See Community & Support for how the recruitment works.