(1) In finance, there is portfolio expectation and variance in the efficient frontier, e.g., by Harry Markowitz. For more, there is modern portfolio theory. Also might look at the Black-Scholes work. And there is more.
(2) Might want some of the math of optimization, e.g., linear programming, quadratic programming, integer linear programming, dynamic programming.
(3) Some people would suggest some statistics -- random variables, expectation, variance, convergence of random variables, central limit theorem, model fitting (regression), hypothesis testing (Neyman-Pearson, non-parametric and resampling), experimental design.
(4) More generally, might just visit the Web sites of some MBA programs, get the list of courses and, when available, the texts, class notes, and references.
The references in the collection of this original post, what fraction are references of courses in MBA programs?
(2) Might want some of the math of optimization, e.g., linear programming, quadratic programming, integer linear programming, dynamic programming.
(3) Some people would suggest some statistics -- random variables, expectation, variance, convergence of random variables, central limit theorem, model fitting (regression), hypothesis testing (Neyman-Pearson, non-parametric and resampling), experimental design.
(4) More generally, might just visit the Web sites of some MBA programs, get the list of courses and, when available, the texts, class notes, and references.
The references in the collection of this original post, what fraction are references of courses in MBA programs?