Carnegie Mellon University
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Analytics and Decision-Making: Unlock the Power of Data

Executive Education Open Enrollment Program

Master techniques for the collection, manipulation and interpretation of data to inform key business decisions and create impact.

Superior analytic capability spells competitive advantage — and success. Analytics and Decision-Making: Unlock the Power of Data uniquely features renowned Carnegie Mellon faculty experts with a keen focus on immediate application and impact for organizations.

This program charts the path to value from analytical modeling for business problems. Building on a set of multidisciplinary cases cutting across functional areas of business, this course integrates the three increasing levels of analytics involved in reaping business value from data in a given problem: the descriptive phase of inferring key features and relationships in the problem; the predictive phase of forecasting outcomes of short-term tactical actions; and the prescriptive phase of long-term planning based on analytics.

Contact a program director at 412-268-2304 or exec-director@andrew.cmu.edu to learn more.

Learn More About the Analytics and Decision-Making Program

Who should attend?
Program Schedule
Featured Faculty

Who should attend?

This program is designed for middle managers or higher who have a holistic view of their companies and are responsible for making business decisions based on data insights. Participants should understand use cases and recognize opportunities. Often these candidates have a lot of data but may not know what to do with it. The course develops leaders who can solve problems through an advanced understanding of data — how to use data tools, how to interpret the data and how to communicate the data for business decisions. 

Sample Schedule

Day 1

Descriptive Analytics

  • From analytics to impact
  • Exploratory data analysis
  • Machine learning

Day 2

Predictive Analytics

  • Forecasting models
  • Risk management
  • Choice modeling

Day 3

Prescriptive Models

  • Optimization models
  • Data interpretation
  • Integrative analytics

Featured Faculty

Willem-Jan van Hoeve

Carnegie Bosch Associate Professor of Operations Research

Image of Willem-Jan van Hoeve

Zico Kolter

Assistant Professor, Institute for Software Research Robotics Institute

Photo of Zico Kolter

Vibs Abhishek

Assistant Professor of Information Systems

Photo of Vibs Abhishek

Brandy Aven

Associate Professor of Organizational Behavior and Theory

Brandy Aven

Alan Montgomery

Associate Professor of Marketing

Alan Montgomery

Nicola Secomandi

Professor of Operations Management, Head of Ph.D. Program

Nicola Secomandi