Quantitative Financial Analysis for Technology-Driven Investment Decisions

Description from DukeHub

An introduction to the most important concepts used in quantitative finance. Students will learn to build practical financial models using MS Excel spreadsheets. This course starts with the most basic, and most important, portfolio and investment models used to evaluate risk and identify profit opportunities. Using Excel, students will learn how to build these models themselves, and to understand the decision-making inputs used by professional investors. The course has a practical focus, how to analyze prices of stocks, bonds, options and other financial instruments using the types of computationally sophisticated tools in wide use today.

Skills

• data and statisticstitle: "quantitative"
• financedescription: "finance" and 4 more

AI-resilient: 1 of 5 1/5

• No: Physical, lab or field work
• No: Live work with people
• ✓Yes: Judgment someone is accountable for · "decisions"
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in FINTECH

• FinTech Capstone FINTECH 502
• Mid-Program Residency FINTECH 505
• Software Engineering for FinTech FINTECH 512
• Fintech Product Development FINTECH 513
• Asset Pricing and Risk Management FINTECH 522
• Alternative Investments I FINTECH 530

All FINTECH courses · All of Pratt professional