Machine Learning for FinTech

Description from DukeHub

Explores the history, current environment, and near-term outlook of Machine Learning, focusing on the applications within financial innovation (FinTech). The course provides hands on experience in applying machine learning tools in a number of situations, as well as understanding the applications across finance. This class will delve into elements of the current environment of Fintech and how machine learning has contributed to the disruption. The goal of this course is that students leave with not only knowledge but hands on experience implementing machine learning to solve problems and observe how this tool works and where the present and future value may be.

Skills

• ai and machine learningdescription: "machine learning" and 3 more
• financedescription: "financial" and 3 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• 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