<p>im interested in going into business after i graduate, maybe finance. i am very technical so i im looking into double majoring in econ and either math, applied math, or statistics. does anyone know how employers' views differentiate between the three math majors?</p>
<p>also, generally what should i expect from the three? are there distinct skill sets to succeed in each of them?</p>
<p>any advice would be greatly appreciated.</p>
<p>I’d recommend stats over math. The math major requires you to take a few upper div math courses which don’t really have applications in finance (abstract algebra, complex analysis, etc)… so if you’re not motivated by that material, they’ll be a waste of time.</p>
<p>I’d recommend Stats along with a bunch of the more obviously relevant math courses (53: multivar, 54: linear algebra, 126: pde’s, 128a: numerical analysis). In the stats department, look to take Stat 134, stat 135, stat 150 (stochastic processes), stat 153 (time series). Also take a look at IEOR 221 (intro to financial engineering), Stat 251 (stochastic calculus for option pricing). </p>
<p>Finance is becoming increasingly quantitative, so the financial industry looks very favorably upon any math, stats, cs, engineering, hard science degrees… though you’ll probably need a graduate degree to become a quant.</p>
<p>thanks fox,</p>
<p>you pretty much confirmed what i’ve heard, which is that stats is more applicable. however, what about the material itself? which do you think is more “fun?” i heard that in upper div math classes it gets very theoretical, which seems more interesting to me than number crunching, but would that put me at a disadvantage post-graduation?</p>
<p>bump
anyone else?</p>
<p>There is a lot of theory in probability and statistics, so you’ll find no shortage of proofs in courses like Stat 150. By all means, take any math courses you think you’ll find interesting.</p>