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Thank you, and you too! Ultimately, every program that accepted you knew your background and still thought you were a worthy candidate, so I wouldn't doubt yourself too much. I think your ability to apply yourself and maybe do some catching up is probably more important than where you are today. Have you looked at some of the syllabi for the introductory courses at NYU? You can get a decent idea of what's involved.

I've been silently reading this thread for weeks, but I figured I might as well say hello. These are the programs I applied to: NYU MS DS (accepted) Johns Hopkins MS in Applied Math and Statistics (accepted) Boston University MS in Statistical Practice (accepted; deadline to enroll has passed) Boston University MA in Statistics (accepted) Columbia MS in Data Science (waiting to hear; just did my one-way interview this morning) I'm inclined towards NYU (I put in my deposit as well) for a few reasons: it's in NYC, where I am, so I don't have to uproot my life; it's two years and thus seems like it can cover more ground than many other programs I looked at; it has a core curriculum that's explicitly designed for the program, rather than borrowing miscellaneous courses from other departments. My only concern is that maybe a degree in "Data Science" will not be viewed as favorably by potential employers as a more "classic" degree like on in statistics or computer science. I attended the NYU open house a week or so ago and was very impressed by what I saw and heard. And since everyone is commenting on it, I'll jump in too: @nyan_cat what is your math background?