Mathematical Finance

Welcome to the Mathematical Finance Program

The Department of Mathematics & Statistics at Texas Tech University offers M.S. and Ph.D. training in mathematical finance, also referred to as financial mathematics or quantitative finance.

Mathematical finance is an area of finance in which sophisticated mathematical models and quantitative methods are used to analyze financial markets, set prices, enhance returns, and manage risk. The field brings together mathematics, statistics, finance, and computational methods to study complex financial systems and the uncertainty associated with financial markets.

Professionals working in mathematical finance are commonly known as quantitative analysts, or “quants.” Their work may involve developing and applying mathematical models to the valuation of financial instruments, analyzing market behavior, measuring financial risk, and developing quantitative approaches to financial decision-making.

Graduate study in mathematical finance provides students with a strong quantitative foundation while developing the mathematical, statistical, and computational skills used to investigate complex problems in finance. Students have opportunities for advanced coursework and research as they prepare for careers or further study in quantitative and financial fields.