Schools: UC Berkeley and UCLA
Intended major: EECS for Berkeley and CSE for UCLA
Similarities: Both top tier UCs with a great focus on research. Berkeley has BAIR (Berkeley Artificial Intelligence Lab) and LA has the Statistical and Relational Artificial Intelligence (StarAI) Lab. My goal is grad school, so access to these research opportunities is vital. I’ll dip into industry for the summers. P.S. I don’t plan on living in the Bay Area post-graduation, I’m originally from LA.
UC Berkeley
School 1 Pros:
- Academics. Has more prestige in stem (I mean they discovered 16 elements lawl)
- Proximity to Silicon Valley
- More prestige
School 1 Cons:
- Safety. Berkeley has a higher crime rate.
- Uber competitive nature. I hear getting into clubs is way harder here than UCLA.
- More prevalent grade deflation
UCLA
School 2 Pros:
- Great weather, architecture, and is in an affluent part of LA, it’s more safe
- Closer to home (my parents can come visit more often) + guaranteed housing for 4 years
- Still strong with machine learning research
School 2 Cons:
- Less prestige for CS
- Quarter System
- (can’t really find a third con)
Tiebreaking considerations:
- Cost. I will see how much aid I get for both schools.