Math classes for PhD in finance

Hi everyone,

I completed my undergraduate in honors finance in 2007 and have worked for 3.5 years since then. 1.5 years in investment banking, and 2 years in private equity. All of this has been focused on Latin America with 2.5 years living and working in 2 Latin American countries. It has been very fun and interesting but ever since I graduated, I have wanted to go back to school to get a PhD. I spent my senior year working on a "masters quality" senior honors thesis and really loved the research process. I have missed that rigor during the past 3.5 years of work. One good thing is that I have developed many ideas for areas of research based on my experience in Latin American finace.

My biggest weakness is that I lack an adequate math background- the last time I took calculus was AP Calculus in high school and my only math classes in college were Business Stats I and II and my finance courses.

I would like to apply next January to about 10 PhD finance programs ranked 15-35 so I am trying to decide the following:

1) which math classes would be most important to take (calculus I and II, linear algebra, multivariate calc, probability, econometrics, intermediate microecon?),

2) whether to take the classes online while I am working or quit working and go back to school to study math for a few semesters

3) where to take the classes (distance ed: BYU, University of Utah, Illinois Mathnet netmath.uiuc.edu, Shorter University www.distancecalculus.com or physically at my undergrad school University of Utah?)

Any advice you could offer would be great! Thanks in advance!