brad89

I'm applying for stats PhD programs this season. Now I may have an opportunity to attend either the program at UCLA or UT Austin. Already received an offer from UT. Have some personal communication with a professor at UCLA, and seems that the chance of getting an offer is high. Some considerations: 1. My goal is to study high dimensional data analysis and machine learning. Both programs have some professors working on these topics, but it seems that UT has more. I didn't count two professors at UCLA working on computer vision. Not a topic interesting to me. Also, the professors at UT seem more active in terms of recent publications on these topics. 2. UCLA's stats program appears to have higher prestige than the one at UT. UT's program is fairly new. 3. It's very likely that I will decide to go to industry after graduation. There are ample opportunities at LA or Bay area. Austin is also not bad on this regard. Any suggestions would be highly appreciated!