Data Science and Decision Optimization in Banking & Financial Services

Description from DukeHub

Course teaches students how to apply machine learning and artificial intelligence techniques, traditional statistical modeling skills, decision optimization methods, and economic and financial theory to perform quantitative analysis, develop models, and optimize decisions in the banking and financial services industries. It prepares students for quantitative finance careers in wealth management, consumer lending, commercial banking, risk management, and CCAR stress testing. In addition to rigorous academic training, students also gain practical experience through case studies and develop a showcase project with the support of financial industry experts.

Skills

• data and statisticsdescription: "statistical" and 4 more
• ai and machine learningdescription: "machine learning" and 1 more
• financedescription: "financial" and 5 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 · "decision"
• 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

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