What Is a Track?
A track is a specialty area of study crossing over multiple concentration areas. Courses taken to satisfy track requirements can also be used to satisfy concentration requirements. Commerce students may complete up to two tracks if course scheduling allows this flexibility. Due to resources, the McIntire School cannot guarantee the fulfillment of tracks.
The Quantitative Finance Track is designed to develop students’ analytical skills and prepare them for quantitatively focused careers in finance. The track is appropriate for students pursuing careers in areas such as asset/investment management, sales/trading, risk management/compliance, and financial information technology. Students 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.
The Quantitative Finance Track is available by application to all Commerce students whose academic requirements allow them the flexibility to take the required 12 credit hours.
Students apply for admission into the track at the beginning of the spring semester of the third year. Application materials include a resume, a one-page statement of purpose and interest, and a summary of all quantitative coursework taken to date including performance. Past quantitative coursework draws from departments such as chemistry, computer science, economics, mathematics, physics, and statistics, as well as all disciplines in the School of Engineering & Applied Science. Completion of a programming class is strongly recommended. Criteria for admission include past academic performance, past quantitative background, and the statement of purpose and interest. Admission is limited to 20-30 students.
Students are required to complete the following courses:
COMM 4710 Intermediate Investments
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
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: Quatitative 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 admission to the track does not guarantee admission to each of the classes above. Instead, the list of electives is meant to provide a broad set of quantitative courses consistent with the objectives of the track. Courses outside of the Commerce School are appropriate for students double majoring in that particular department.
For more information, please contact Professor Michael Gallmeyer at email@example.com.