Interdisciplinary Mathematical Finance Graduate Program Climbs To Its Highest Ranking In 2022 TFE Times List

UNC Charlotte’s Master of Science in Mathematical Finance program has soared to its highest national ranking ever. The program is No. 11 in the TFE Times’ 2022 Master of Financial Engineering program rankings.

Over the past six years, the M.S. in Math Finance program has increased steadily in the rankings, rising nine slots since 2016.

“UNC Charlotte’s M.S. in Mathematical Finance is proud to be a leader among financial engineering programs in the country,” said Dr. Yufeng Han, M.S. in Math Finance program director. “This ranking places us among elite institutions and demonstrates the quality of our quantitative graduate programs.”

The growth of the program’s success is a testament to the exceptional faculty, combined with a customizable interdisciplinary approach, Han said.

As the second-largest financial center in the United States, Charlotte relies on UNC Charlotte to supply talent and insights — new financial technology — that drives the region’s economy. As a STEM-designated program of the departments of Finance and Economics in the Belk College of Business and the Department of Mathematics and Statistics in the College of Liberal Arts & Sciences, the program excels as an emerging field in one of the top AACSB accredited business schools in North Carolina.

The program gives students strong preparation for careers in finance, including an emphasis on growing their math and data skills, said Taufiquar Khan, chair of the Department of Mathematics and Statistics.

“Students apply highly sophisticated mathematical models to identify, measure, and manage risk, preparing them for real-world situations they will face,” Khan said. “The mathematical finance program draws upon the expertise of diverse faculty in economics, finance and mathematics. This interdisciplinary approach yields strong outcomes for students and for employers.”

The TFE Times rankings are among the most comprehensive for graduate financial engineering, financial mathematics, quantitative finance, computational finance and mathematical finance programs in the country.  The rankings are calculated based on several components, including average test scores, starting salaries, undergraduate GPA, acceptance rates and graduate employment rates.