In this session, you won’t just hear about quantitative finance—you’ll see it in action. A faculty member will walk through a real project they use in class, showing how data, code and mathematical thinking come together to solve real financial problems. In this mock class, you’ll get a feel for how quants really work:
- Applying machine learning to live equity and asset data
- Building a platform that pulls market- and company-level information
- Turning raw data into financial insights through modeling and analysis
- Exploring how trading strategies are tested and optimized
- Seeing how concepts you’ve learned as an undergrad show up in practice
This isn’t a traditional lecture. Think of it as a preview of graduate-level learning—interactive, applied and designed to challenge the way you think about finance, data and decision-making. If you’re starting to think about what’s next after undergrad and want to understand whether quantitative finance is the right fit, this mock class is a great place to start.