A lot of this probably true of many CS/ML programs, but not as broadly true of academia as some would guess. Lots of emphasis on data work, interpretability, etc. in places like digital humanities & computational social sciences.
Universities don't teach you this:
There are stark differences between academia and industry roles.
Every data scientist and machine learning professional I know had to find out the hard way. Some still think it's all the same.
Some broad generalizations:
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