Hi all, I'm deciding between Columbia's Masters of Science in Business Analytics and University of Michigan's Masters of Science in Data Science program. Since they are in different industries, I'm very conflicted. I got waitlisted from NYU and UW Data Science, got accepted to Cornell's MPS in Applied Statistics (Data Science), ORIE at Cornell Tech, and Georgetown Analytics.
Economics major and Statistics minor at a top 3 liberal arts college, with some cs background (3 CS classes, As, and software engineering coding bootcamp) and involved in some research (data stuff, not my own research but for professors/post docs). I think my end goal is working as a data scientist at a consulting/finance firm, but I'm open to other data science roles. Not interested in PhD. I was leaning towards Michigan because of technical complexity, so I'll have a wide variety of career options, but everyone's telling me to choose Columbia because of its name value, resources, and geographical advantage (i.e. recruiting and networking). I have a week to decide - any advice/input would be appreciated!!! Thank you!
+) I am thinking of trying to transfer to Columbia or NYU Data Science; in that case, which decision is better? Transferring from Columbia's business analytics to Columbia Data Science, or UMich Data Science to Columbia Data Science? I heard Columbia DS program admits transfer students during spring semester, but I'm not sure how the program will like an applicant from business analytics, since it is not technical enough?