[jmt_]

This was my experience at a high ranking engineering public state school in the US. Stats is delegated to the applied math program usually (in fact, my degree was titled "Applied Mathematics & Statistics"). You can choose to concentrate in subjects like algorithms, operations research, fin stuff, statistics, etc. CS as well as other sciences had one required intro to prob & stats, but that's it outside electives.

Further, despite having a fantastic reputation, my program only discussed frequentist ideas with near 0 mention of Bayesian reasoning/methods (outside the same Bayes rule questions asked in the first weeks of every stats class). Overall the education felt too traditional, I would have liked to seen mention of more modern methods like the bootstrap and certainly mention of Bayesian.

[srean]

> Stats is delegated to the applied math program usually

Which is not unsreasonable considering that these things arent really related to computers (although they happen to involve computation). I think its just an artifact of history and how things happened that ML is associated with CS and EE departments, but really its applied math, not a core CS topic like say compilers, formal languages and complexity.