Arthur M. Blank School
The Blank School engages Babson community members and leads research to create entrepreneurial leaders.
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 and Math & Science
Faculty Contacts: Richard Bliss and Dessislava Pachamanova
QTM 3625 Financial Modeling with Simulation
Choose two (2) of the following:
Choose one (1) of the following:
One of these courses could be replaced by a QTM selected topics or independent research project if approved by the division chairperson.