Curriculum: One-Year Program
- Prerequisite: BMGT340 (Business Finance).
- Recommended (but not required): BMGT313 (Financial Statement Analysis) — Fall or Spring
- BMGT343 (Investments) required if not completed in a previous semester — Fall
- BMGT347F (Quantitative Financial Analysis) — Fall (fulfills a finance major requirement)
This course will introduce students to data science for financial applications using the Python programming language. Students will use tools ranging from regression models to machine learning to investigate questions across a variety of areas within finance including asset management, corporate finance and FinTech. The course will illustrate how big data and data analytics can improve financial decision-making by focusing on problems facing finance professionals.
- BMGT442F (Advanced Portfolio Management) — Spring (fulfills a finance major requirement)
This course provides in-depth coverage of statistical methods for choosing stocks. Financial markets data is used in the class. Students are expected to learn and use Python during the class to implement the concepts of the course. The course focuses on quantitative methods of portfolio selection and is NOT a course on traditional security analysis.
Examples of companies where Quantitative Finance fellows have interned or received full-time offers:
- Capital One Bank
- Goldman Sachs
- Lockheed Martin
- Be a finance major. You may apply if you are in the process of applying to Smith as an internal transfer student, but fellows admission would be contingent upon admission to the Smith School, College Park.
- Rising junior or senior.
- A grade of B- or better in BMGT340 (may complete either in current spring semester and admission is provisional contingent upon satisfactory completion of BMGT340)
Applications are now closed and will reopen in Fall 2021.