Isenberg School of Management 679 - Data Science for Finance

This course combines three perspectives essential to financial decision-making: inferential thinking, computational thinking, and real-world relevance. Financial decisions are increasingly data-driven, and require more than inferential thinking. Computational thinking and real-world problems are also needed for finance professionals to function effectively. Students will utilize all three perspectives to make better financial decisions.

Open to Master of Finance (MFIN) students.