95-762 Decision Modeling

6 units, Carnegie Mellon University

This course is for Heinz students in the AIM degree program. This course is one of several Heinz College courses in analytics and management science that survey a variety of hands-on quantitative modeling methods that are useful for making better evidence-based decisions. They are tailored for particular programs but overlap considerably, so students cannot take courses from more than one of these sequences because they overlap so much. This course covers multicriteria decision making (MCDM), optimization, Monte Carlo simulation, risk-return tradeoffs, decision analysis, and forecasting. Considerable emphasis is placed on understanding the strengths and limitations of each method and so when to use which. Relative to other parallel courses, more time is spent discussing how to integrate multiple objectives or attributes, both quantifiable and non-quantifiable.

Prerequisites: none listed

Offered: Fall 2026, Spring 2026

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