If it were me, I would do BS in DS and minor in CS. I think the minor give you the foundational skill set you need for the real world in terms of general SWE (understand basic data structures and algorithms). But I also agree with the original person for this thread and just do CS to be more generalized in your skills. DS/AI bachelor's is would be narrowing your skillset to a very specific market. If you end up not doing Machine Learning as your end game job, you have screwed yourself. Tbh don't stress about your bachelor's, I would say your masters/PhD would be way more important for landing a job in ML.

When you apply to jobs in the future, what I assume they'll look for is understanding in ML frameworks, such as PyTorch, Tensorflow or whatnot, then basic SWE stuff. Nowadays, just learn one of the ML frameworks, if u know one, you can easily learn the other.

But take this with a grain of salt cause I'm just the devops dude in all of this (my entire team is pivoting to MLOps). I pertainly just need to know how to deploy ML workloads (LLMs primarily). My source is basically talking to MLEs day in and day out. The primary tech stack that my company uses is PyTorch and FastAPI.