I posted this before in the general forums but decided it'd fit better here. As the title mentioned, I'm choosing between these two school (and UCLA if I get in...) for a Stat PhD. A bit about me. I'm an undergrad from Rice and I'm pretty sure I want to go into industry after grad school (google, walmart labs, some start-up. Think data science jobs). My research interests include statistical learning methods and graphical models. Here is a bit about each school that I've decided is important to help me make a decision.
UC Davis
Already in California.
Accepted into this program that looks like it'll prepare me for a good first job in industry (http://www.stat.ucdavis.edu/research/nsf-rtg/index.html)
$21,000 stipend over 9 months
$5,000 summer fellowship for one month for the first two years
No mention of TA duties but probs assume I'll have to TA each semester I'm there
Michigan
Much higher ranking (top 6-top 15 at most of the websites I've looked at)
$2418.64/ month stipend with health and dental coverage
$9690 summer stipend for first year only
No TA duties for first year, and two semesters of my choosing between 2nd and 3rd
Seems like Michigan is an obvious choice but I'm afraid it might be too theoretical/difficult for me to branch out and take other classes. I essentially want to take or audit up to the first year or two of the computer science major of whichever university I attend. Also, I'm from Houston, TX and have never been in the true cold vs Davis which is in California (where I'll probably want to work afterwards). Any help??