ned80 wrote:
Thanks for all the suggestions.
Hobbit, do those 2nd year MBA students that express interest in the PhD program have a leg up on "outsiders" that are applying to the program? How does that work out?
They don't have any formal advantage over regular phd applications. they probably have secondary advantage by the fact they know more literature, talked to professors about their interests, and have access to better people for recommendation.
ned80 wrote:
Also, what kind of quant should I be reviewing before the MBA program, keeping in mind that a PhD might be the ultimate goal? I have already brought out a few statistics books. What else should I be looking at?
Thanks
for mgmt/ob you'd need lots of stats. for finance you'd need advanced level calculus and probably a lot of linear algebra -to say the least.
however - I've seen too many on both sides that "talk the talk" i.e. suceed in classes, understand research papers and even do some research, that don't really understand what's stand behind all this math. I've just heavily criticized a very famous paper in OT on the fact that they didn't know how to measure what they tried to measure, just because they didn't formulated their measure correctly. the reviewers didn't pick that up, probably for the same reason.
therefore - my suggestion is to get a firm grasp of basic calculus, linear algebra and probability theory, which are the basics of everything else. you should be comfortable with partial derivatives and jacobians, multiple integrals and integrals on surfaces (on the calculus side), diagonalization of matrices and orthogonal transformations, eigenvalues and positivedefinite matrices (on the algebra side), and a firm grasp of the definition and basic properties of the main distributions and how/when they arise (probability).
of course you don't need all of these, and can do well without any of these (in management, don't know about finance/econ). also you'd have opportunities to do that while you study if you choose the right courses.
hope this helps.