Data Science and Decision Optimization in Banking & Financial Services

MATH 586

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.
Curriculum Codes
  • QS
Cross-Listed As
  • IDS 586
Typically Offered
Fall and/or Spring