FINC 8303 - Mathematics for Finance and Business Analytics

3 hrs

Provides students with a comprehensive background in the mathematical topics required for learning quantitative finance, business analytics and data science. Mathematical topics covered include calculus, differential equations, linear algebra and probability and statistics. Broad familiarity with linear algebra, statistics, stochastic process, finance and economics is helpful but not required.
Prerequisite(s): Admission in the MS in Business Analytics or MS in Finance program.