Posted this on state forum but not getting any attention.
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.