Hi everyone! I am currently trying to decide between NYU data science and Cornell Tech ORIE (operations research and information engineering). I received a substantial scholarship for Cornell which is a one year program. After graduation, I don’t necessarily think I want to be a data scientist but think that the technical training would be useful for whatever I want to do. I don’t know much about the Cornell program, other than the fact that it is more entrapeneurship/product driven, which I do like (and is more in line with my future work plans). I am just worried that one year with only half my technical classes might not be enough time to learn. On the other hand NYU might be too technical. Would anyone have any insight or advice? Thank you!