Computational and Mathematical Finance combines financial theory with a solid grounding in quantitative methods to allow students to model and analyze the complexity of financial decisions under uncertainty. The advanced courses in the Finance Division are designed to provide students with an in-depth knowledge of financial markets and instruments, while the advanced courses in the Mathematics and Sciences Division emphasize mathematical derivations, rigorous analytical thinking, and the use of statistical, simulation, and optimization software tools.
Sponsored by: Finance Division and Mathematics, Analytics, Science, and Technology (MAST)
Faculty Contacts: Richard Bliss and Dessislava Pachamanova