Maude
I come from a business background, and I stumbled upon Python a few years ago almost by accident. I found myself spending hours debugging code, completely losing track of time. It was as if a new world had quietly unfolded before me, one I hadn’t even realized I was searching for.
But without a scientific background, I felt behind. We tend to put ourselves in boxes, believing certain paths are out of reach. This master’s program proved otherwise. It gave someone like me with a non-technical foundation a chance, it opened the door to data and analytics.
Yes, it’s a challenge. The curriculum is intense, and the learning curve is steep, but the support from professors and peers makes all the difference. The hands-on projects, the balance between theory and application, and the exposure to real-world case studies ensure that learning isn’t just theoretical: it’s practical and impactful. I’ve worked on diverse datasets, from images to audio, passing through the more familiar tabular data, and every project pushes me to think critically and experiment confidently.
One of the standout aspects of this master’s is the collaborative environment. My classmates come from different backgrounds; engineering, business, social sciences, and that diversity makes discussions richer and group work more dynamic.
Slowly but surely, I’m bridging the gap between curiosity and expertise. If you're drawn to data, AI, and the power of code, this master’s might be the door you’ve been waiting to walk through.
The question is: Are you ready to take that leap?