Why Study Mathematical Finance?

Develop the quantitative and analytical skills to navigate financial markets, manage risk, and make informed decisions. Combine mathematics, economics, and finance to prepare for careers in a data-driven industry. 

Theory Meets Practice

Students gain both theoretical depth and practical insight into financial systems.
 

Hands-On Learning

Small classes and project-based learning emphasize collaboration, critical thinking, and applied problem-solving.

Markets and Integrity

The program prepares students to navigate complex markets with both quantitative precision and ethical awareness.

It’s a good fit for you if you:

  • Enjoy using mathematics—especially calculus, probability, and statistics—to solve real-world financial problems
  • Are interested in how markets, investments, and risk can be modeled and analyzed quantitatively
  • Like working with data, patterns, and algorithms to make informed financial decisions
  • Want to combine analytical thinking with economics or business applications
  • Are considering careers in quantitative finance, data analysis, investment banking, or financial technology

Mathematical Finance pairs well with:

  • Mathematics
  • Economics
  • Computer Science
  • Business Administration
  • Accounting
  • Philosophy
  • Political Science

The Mathematical Finance (B.S.)

Courses focus on understanding financial markets and quantitative modeling, with key areas of probability, statistics, derivatives, and risk management. Students learn through theoretical coursework, computational analysis, and hands-on modeling projects.

In Demand-Skills:

  • Financial modeling and quantitative analysis
  • Statistical reasoning and risk assessment
  • Programming for data analysis (e.g., Python, R)

Curriculum

Students complete core courses in calculus, linear algebra, probability, and financial mathematics, with electives across economics and computer science, along with advanced coursework in derivatives pricing, stochastic processes, and portfolio theory.

View requirements in the course catalog

Detailed course requirements, sequencing, and policies are outlined in the official Courses of Study Bulletin. 
 

Meet Your Faculty Mentors

Get to know the faculty in Mathematical Finance who are here to inspire, challenge, and support you every step of the way.

Trinity University Headshot Placeholder
Program Director

Julio Roberto Hasfura-Buenaga, Ph.D.

Associate Professor

jina-kim-2023-cropped.jpeg

Jina Kim, Ph.D.

Assistant Professor

SMF-Dante Suarez-20251117

Eugenio Dante Suarez, Ph.D.

Associate Professor

Cabral-Balreira-20240815-04

E. Cabral Balreira, Ph.D.

Professor

Mauro%20Oliveira.jpg

Mauro Oliveira, Ph.D.

Associate Professor

Shage Zhang.jpg

Shage Zhang, Ph.D.

Professor

Recent Graduate Careers

Graduates are ahead of the curve in careers related to global markets and financial investments, and pursue careers across corporate commerce and banking, including investment and finance.

Graduate Programs:

  • Applied Financial
  • Applied Mathematics
  • Economics
  • Finance
  • Mathematical Finance
     

Notable Companies That Have Hired Trinity Graduates:

  • Dell Technologies
  • Liberty Mutual
  • USAA

Career Areas:

  • Actuarial Science
  • Commercial Banking
  • Corporate Finance
  • Financial Planning
  • Investment Banking
  • Money Management
  • Real Estate

Get Your Questions Answered

Students interested in the Mathematical Finance major should:

Meet with an academic adviser to explore introductory courses in Mathematical Finance and review degree requirements in the course catalog.