<p>I'm admitted by both Cal and LA. It seems a little bit late but I still cant make the decision. To make the problem easier, I'd like to consider academics only.
Cal: pure math major LA: joint major in math/eco
I have the intention of becoming an actuary. So, on academic viewpoints, how should I make the decision? Is anyone having the same problem?</p>
<p>i posted a question similar to this one yesterday because I was also deciding between cal and La. But I do know that la has an math/applied science major with an actuarial science option which may suit you. However I think I am choosing Berkeley because personally to me it is just a bit more prestigious and I want to get away from socal. GLUCK both GREAT schools</p>
<p>i’m in the same situation. but i have to say ucla, hands down. their math department is MUCH better and they have a better range of selectives to compliment your core courses. (imho)
plus, they have tao.</p>
<p>
What? Berkeley has one of the top math departments in the country (up there with Harvard, MIT). If there is any difference at the undergraduate level, Berkeley is superior.</p>
<p>Berkeley has one of the best math departments in the country. Also, Berkeley lets you pick a concentration in mathematics just like UCLA does. In the Applied Mathematics major, you form a cluster of classes in the area which you’d like to apply math to. These clusters range from computational biology to fluid mechanics or economics. You can even work with an advisor to come up with your own area of concentration.
[Course</a> Requirements: Applied Mathematics - UC Berkeley Department of Mathematics](<a href=“http://math.berkeley.edu/undergraduate_major_require_applied.html]Course”>http://math.berkeley.edu/undergraduate_major_require_applied.html)</p>
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<p>I lol’d…</p>
<p>i would say uclas math dept is either the same or better.</p>
<p>Since there is no UG ranking…here is the grad school rankings:
1 Princeton University Princeton, NJ<br>
2 Harvard University Cambridge, MA<br>
2 Massachusetts Institute of Technology Cambridge, MA
2 Stanford University Stanford, CA<br>
2 University of California–Berkeley Berkeley, CA
6 University of Chicago Chicago, IL<br>
7 California Institute of Technology Pasadena, CA
7 Yale University New Haven, CT<br>
9 Columbia University New York, NY<br>
9 New York University New York, NY
9 University of Michigan–Ann Arbor
12 University of California–Los Angeles </p>
<p>Source: USNews Rankings
[Rankings</a> - Math - Graduate Schools - Education - US News and World Report](<a href=“http://grad-schools.usnews.rankingsandreviews.com/best-graduate-schools/top-mathematics-programs/rankings]Rankings”>http://grad-schools.usnews.rankingsandreviews.com/best-graduate-schools/top-mathematics-programs/rankings)</p>
<p>Also, UCLA doesn’t have much of a presence in the Putnam competition. UCLA hasn’t been in the top 5 for putnam since the 60’s. Berkeley, however, had a top 5 finish in 2001 and 2002.</p>
<p><a href=“William Lowell Putnam Mathematical Competition - Wikipedia”>William Lowell Putnam Mathematical Competition - Wikipedia;
<p>UCLA has a special Math/Applied Science major with an actuarial plan.
[UCLA</a> Department of Mathematics](<a href=“Undergraduate Program | UCLA Department of Mathematics”>Undergraduate Program | UCLA Department of Mathematics)</p>
<p>You may want to look into that. I don’t know if Cal has something like that.</p>
<p>UC berkeley has an actuarial science concentration in applied math:</p>
<p>“Actuarial Science: Mathematics 128B, Statistics 101 or 134, 102 or 135”</p>
<p>as i have said before, Berkeley’s applied math major lets you pick or create your own concentration for your applied math degree. This ranges from geophysics to quantum mechanics. If there isn’t a concentration that fits you, you can make your own.</p>
<p>hey, for those who is doing math&econ major, are you guys planning to do master degree right after undergrat? and also wut kinda jobs one can possibly find afterward!!
thanks</p>
<p>lol ucla better than berk for math? someone doesn’t have a clue what they are talking about.</p>