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DS in NYU or Columbia or CS in USC?

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I know it's a bit late now but I just received my offer to MS in data science from Columbia and MS in Computer Science (Scientist and Engineers) from USC, besides MS in data science in NYU. I am having great difficulty deciding among these three programs. My brain literally shut down and beg for other's suggestions...  

A bit of background, I am graduating from UCSD majoring in Applied Mathematics and minor in Computer science with specialization in Machine Learning. I am a bit inclined towards becoming a data scientist in the future but I don't mind studying computer science. For now I am mainly concerned about the career aspect but I won't completely turn down further research opportunities.

People were saying NYU has great curriculum and heavy in machine learning while Columba has recently invested greatly into the DS institute. My personal preference would be a smaller department with more chances interacting with faculties. Any suggestions? Thank you sooooooo much!

Edited by hetang

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First of all congratulations on receiving such great admits for Data Science. I found the post (link below) very helpful while deciding which colleges to apply for Data Science. In case you are still deciding which University to go ahead with, this will definitely help.

Link: https://www.analyticsvidhya.com/blog/2016/07/10-analytics-data-science-top-universities-masters-usa/ 

All the best :)

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