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Quantitative Finance Track

We’ve designed the Quantitative Finance Track to prepare students for quantitatively focused careers in finance. You will gain a better understanding of model-based decision making using tools from a variety of areas such as economics, operations research, statistics, computer science, and information technology.

Select this track if you’re interested in a career in asset/investment management, sales/trading, risk management/compliance, or fintech. 

Eligibility

All Commerce students whose academic requirements allow the flexibility to take the required 12 credit hours may apply to the Qualitative Finance Track.

Next Steps

For more information about the Quantitative Track, contact Professor Mike Gallmeyer.

Coursework

Students are required to complete the following courses:

Required Courses

  • COMM 4710 Intermediate Investments

Elective Courses

Select two of the following quantitative-based courses:

  • COMM 4230 Information Technology in Finance
  • COMM 4559 Advanced Investments: Asset Management in the Global Economy
  • COMM 4730 Advanced Investments: Advanced Derivatives and Fixed Income
  • COMM 4731 Advanced Investments: Principles of Securities Trading
  • COMM 4732 Advanced Investments: Quantitative Equity Portfolio Management
  • COMM 4780 Institutional Investment Management

Select one quantitative elective from COMM, MATH, STAT, ECON, or CS, such as:

  • COMM 4230 Information Technology in Finance (if not used in required courses)
  • COMM 4260 Business Analytics
  • COMM 4559 Business Analytics with Python/R
  • COMM 4730 Advanced Investments: Advanced Derivatives and Fixed Income (if not used in elective courses above)
  • COMM 4731 Advanced Investments: Principles of Securities Trading (if not used in elective courses above)
  • COMM 4732 Advanced Investments: Quantitative Equity Portfolio Management (if not used in elective courses above)
  • COMM 4780 Institutional Investment Management (if not used in elective courses above)
  • ECON 4720 Econometric Methods (Commerce and Economic double majors only)
  • MATH 4110 Introduction to Stochastic Processes
  • STAT 4630 Statistical Machine Learning
  • STAT 5120 Applied Linear Models (Commerce and Math/Statistics double majors only)
  • STAT 5170 Applied Time Series

Note that if three of the quantitative-based courses are taken, two will satisfy the quantitative-based course requirement, and the third will satisfy the elective course requirement. Other related UVA courses can satisfy the elective requirement as approved by the Director of the Quantitative Finance Track.

Connect With Us

McIntire’s Office of Undergraduate Admission collaborates with prospective B.S. in Commerce students, helping in a variety of ways.

We encourage prospective students to contact us early in the admissions process to take advantage of all of our advising opportunities, including academic advising, information sessions, and other events, or to connect with a student ambassador. 

Learn More
Contact Information

Office of Undergraduate Admission
Rouss & Robertson Halls, Room 142
CommerceAdmissions@virginia.edu
+1-434-924-3865