<p>Imperial is good, so is Berkeley. I have close family who go to both.</p>
<p>It comes down to this:</p>
<p>At Imperial (or any other UK university) it is very focused study. You applied for math, you study almost completely math. You graduate in 3 years. You go on vacations so often it’ll appear to most that you’re not even in school. The summer break in the UK system is 3 months – the length of every single break in the US system combined. And they get another month or two off for winter and other stuff if I’m not wrong. It’s almost like spending half a year out of school.</p>
<p>At Berkeley, you’ll be getting a more “well rounded” education for sure. That, and a brand name that is recognized the world over. Imperial, not so much. Its better known in Asia, but tell anybody in the US that and you’ll probably get a blank stare.</p>
<p>So in terms of job prospects in the US, Berkeley will be a leg up. In terms of getting the “college experience”, once again, Berkeley. In terms of quality of education – Imperial is more focused, Berkeley more well rounded.</p>
<p>If it were me, I’d pick Berkeley a hundred times over. London is gloomy. I can’t stand the gloom and doom of London weather. Its something to think about.</p>
<p>p.s. rankings are ********. both family members, the one at berk and the one at imperial, are having trouble landing internships. i don’t want to scare you, but the one at imperial is studying math just like you.</p>
<p>just like in business, the market is the most important thing. if you’re in a huge market like software engineering where demand ALWAYS exceeds supply, you don’t even need a degree to find work. if you’re going to study math, you’ll find your options to be much more limited. indeed, my cousin at imperial is now looking at doubling in another major because the job prospects for a math major don’t look too good. not that he isn’t brilliant at it – its just the way the world works. you could be a master basketweaver and be out of work for decades. do math + econs. or math + CS. pure math is risky.</p>