Dear all, I was accepted both at the University of Chicago and at Carnegie Mellon University in their PhD Program in Statistics. These two programs are actually my favorites in the pool of those to which I applied. I participated to the visit days and had a great time at both places. I found that CMU is one of the best place to study statistical learning(say ML). On the other hand, U of Chicago is also competitive program to study ML, and located in the Wonderful city.
My research interests lie mainly in ML. I would like to study both theories and applications of ML.
However, I want to keep my research interests open.
Both schools are excellent and students have excellent placements. I cannot lean towards anywhere, but have no choice but to choose one.
Advice, comments or suggestions are most welcome!
Thanks