Practical differences between TU Wien’s Data Science and Logic & AI Master’s?
Hello everyone,
My bachelor’s is not in computer science, but in another engineering field, so forgive my lack of technical background. I’ve gone through both curricula, and I think I have a general understanding of the distinction:
Data Science: more focused on statistics, machine learning, and working with data.
Logic & AI: more focused on the theoretical foundations of AI, such as logic, reasoning, and knowledge representation.
What I’m still struggling to understand is the practical difference between the two.
If my long-term goal is to build AI products, how different are the skills and career paths that each program prepares you for?
I’d especially appreciate insights from current or former students who have experience with either program.
Thanks.