UCLA vs UC Berkeley Statistics Major

I have been accepted to both and want to know which one would be best to pursue a statistics degree. At UCLA, I would have to complete pre-reqs before officially starting the major.

I have visited Berkeley and like the campus, although I’m not a big fan of the surrounding area/Bay Area in general. I think I could adjust in time, though.

I haven’t visited UCLA (soon) but am from SoCal and think I would like the area better. But is it worth it to pass over Cal just for this reason? I am a pretty open-minded person and like I said, could probably adjust if I choose to go north.

Another factor would be the competitive nature of both programs. Are Berkeley’s math/stats courses ultra-competitive compared to UCLA? I wouldn’t want to be in that sort of atmosphere.

I plan on getting a Masters/PhD in a related field at another top university after four years. Would going to the more ‘prestigious’ UCB make it easier to get into a top grad program?

Any other input would be appreciated as well. I’m having a tough time deciding between these two. Thanks.

Bump
Also wondering about stats at ucla vs cal

Anyone?

I think you really need to visit both campuses and meet as many professors and current students as you can to get a feel for where you want to be. Both are great schools and I’m sure you can have many excellent opportunities at either one, but if one just “feels” right to you after you visit than I think that is meaningful. Good luck with your choice.