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!