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.

2019 Dates: Nov. 6-8, 2019

2020 Dates: Nov. 11-13, 2020

Location: Carnegie Mellon University

Fee: $4,100

Superior analytic capability spells competitive advantage — and success. With today's ubiquity of data, every organization needs leaders who can understand the impact of data, advocate for its effective use, and interpret analysis. Through a three-day deep-dive into the descriptive, predictive, and prescriptive levels of analytics, learn from renowned Carnegie Mellon University faculty — leading experts with cutting edge knowledge and a focus on application and results.

This program will equip you not only with deeper understanding of the tools and techniques available, but an ability to identify potential use cases in your own organization, and importantly, to clearly convey insights garnered to executive management — driving implementation and results.

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. 

Program Schedule

Day 1

Descriptive Analytics: Prioritizing Use Cases

Assess the scope and depth of opportunities for analytics while understanding both the strengths and limitations of data analytical approaches. Identify the value from data and recognize the progression of descriptive, predictive and prescriptive models.

Day 2

Predictive Analytics: Managing Uncertainty

Introduce the role of prescriptive modeling and understand the cycle of assessment, model and evaluate for data-based decision making. Identify specific risks and hurdles on the path to creating impact with analytics.

Day 3

Prescriptive Analytics: Executing Based on Insight

Emphasis on using analytical models for strategic, tactical, or operations decision making. Identify the sources of data risk and strategies for alleviating them.

Featured Faculty

Willem-Jan van Hoeve

Carnegie Bosch Associate Professor of Operations Research

Image of Willem-Jan van Hoeve

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