Masters in Computer Science - UT Austin vs UC San Diego

[Syrios12]

I have been accepted to UT Austin and UC San Diego's master in computer science programs. My goal is to focus my studies on machine learning and get a job in "data science." I am a California resident, so UCSD is slightly cheaper, but UT Austin is the higher ranked program. Does anyone have a sense of which of these schools might be better for getting a job in machine learning / data science? After looking at each school's web site it looks like UCSD has more machine learning courses, but I am not sure if that matters much. Thanks for your help!

[kcyc]

Isn't UT Out of State is 22k/year, UCSD In state is 12k/year, so for 2 years at UCSD you save 20k.

[Syrios12]

Isn't UT Out of State is 22k/year, UCSD In state is 12k/year, so for 2 years at UCSD you save 20k.

 

UT out of state is about 18K and UCSD is about 15K. So it is more expensive for UT, but not by too much. Also Austin has somewhat cheaper cost of living as far as I can tell.

[Fayon]

UCSD has better machine learning (as you can tell by available coursework). And it's cheaper for you. Employers like Google and so on will recruit from both anyway, but they will prefer the schools with more faculty for what they want (machine learning).

[Rantar]

Can't go wrong with either - you should really just choose based on personal preference.

[Syrios12]

Thanks for the replies - the fact that both of the programs are good make it a hard decision for me. Has anyone been through either of these programs? If so, what was your experience like? Thanks.