Carnegie Mellon University

Statistical Models for Management and Control – Causal Inference

Course Number: 45911

The course focuses on estimating models to guide management decisions to control a system or an organization. Statistical and machine learning methods are used to estimate regression and classification models. The distinction between correlation and causality is emphasized, and causality will be paramount. Specific topics will include Randomized Control Trials, multi-arm bandits, directed acyclic graphs (DAGs), propensity score modeling for observational studies, personalized marketing, and personalized medicine.

Degree: MBA
Concentration: Economics
Academic Year: 2025-2026
Semester(s): Mini 4
Required/Elective: Elective
Units: 6

Format

Lecture: 100min/wk and Recitation: 50min/wk