46-923 Financial Data Science II

6 units, Carnegie Mellon University

The second in a two-course sequence covering methods of extracting useful information from raw financial data. Focus is placed on tools of data exploration and mining, motivated by the handling of modern financial data sets. Topics include data cleaning, data visualization, dimension reduction, clustering, Bayesian methods, and making discovery claims. Non-MSCF students may not take this course without written permission from the instructor. To be eligible, you must be a BSCF student or a graduate student enrolled in an MSCF participating college/department (Stats & Data Science, Tepper, Computer Science Dept., or Math Sciences). PhD students with relevant research may be eligible with permission from the instructor.

Prerequisites: 46-921

Offered: Fall 2026, Fall 2025

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