Track: Research

(Honors Thesis, Independent Research Studies, University Scholars Program and Graduate School)

The Research track provides collaborative guidance and mentoring to undergraduate students working on their Honors Thesis, Independent Research Studies, University Scholars Program (USP), and helps students explore opportunities in pursuing a Ph.D. in Finance or other Business-related areas. The Research track provides additional technical training (e.g., programming, regression analysis, and econometrics) and research funding opportunities, including funding support for research projects and conferences. This track also engages current Ph.D. students and program directors at Warrington for mentoring.


Student Leaders

Faculty Advisors


Weekly Activities Covering:

  • Advanced quantitative methods – math, statistics, and econometrics training
  • Programming and coding skills to analyze (big) data and carry out Machine Learning tools (e.g., Python, R, and statistical programs training)
  • Research Assistant experience
  • Monthly Finance Ph.D. Reading Group
  • Networking night
  • Exploring Ph.D. programs

Research Opportunities, Conferences & Alumni Engagement:

Recommended Courses

Freshman Fall MAC 2311 Analytic Geometry and Calculus I
Freshman Spring MAC 2312 Analytic Geometry and Calculus II
Sophomore Fall MAC 2313 Analytic Geometry and Calculus III
Sophomore FallSTA 3100 Programming with Data in R
Sophomore Spring MAP 2302 Elementary Differential Equations
Sophomore Spring STA 3024 Introduction to Statistics II
Junior Fall MHF 3202 Sets and Logic
Junior Fall STA 4210 Regression Analysis
Junior Spring STA 4211 Design of Experiments
Junior Spring ECO 4421 Econometrics I
Senior Fall ECO 4422 Econometrics II
Senior Fall MAS 4105 Linear Algebra I
Senior Spring MAS 4115 Linear Algebra for Data Science
Senior Spring MAD 2502 Intro to Computational Math