Our approach pioneered a  powerful model for making an impact.  Whether it's called "management science" or "evidence-based management," nearly every business school today teaches the Carnegie Mellon approach to problem-solving.

Management Science Classroom

How do you solve a problem that has no precedent?

The Tepper School consistently stands out for its role in introducing a new model that changed the market approached business problems: management science, also recognized as decision-making powered by analytics, was the first approach to integrate scientific methods into complex problem-solving. Today, some form of Carnegie Mellon’s original academic model is taught at every leading business school.

We respect case studies. They’re great tools for looking in the rearview mirror. But, to forecast, predict and model the answers to problems that lie in front of you, a mastery of analytics is necessary. Our approach brings together Carnegie Mellon’s strengths in business management, computer modeling, organizational behavior and economic theory. 

Our students and graduates never make the mistake of pigeonholing “quant” into the stereotype of numbers crunching. They understand it’s the unsung hero of complex decision-making, which is why their career advantage is a powerful combination of leadership and analytics. Our program prepares you to strategically make a business case that is supported with impressive insight, data and management expertise.

The analytical toolkit for management science begins with the tools for economic understanding, optimization, and predictive and prescriptive modeling, as well as for responding to uncertain, complex business issues. These fundamental techniques provide the ability to assess and to apply a variety of models to any business problem you will confront.

Our alumni consistently share success stories that highlight the career advantage they have gained by being among the leading performers who demonstrate analytical and leadership abilities beyond the business school norm.