Carnegie Mellon University

Advanced Analytics and AI Executive Education Programs

As big data burgeons and companies grapple with integrating analytics from decentralized business units, experienced leaders recognize the need to translate quantitative model insights into strategic decision-making and innovative business models.

These leaders are turning to Carnegie Mellon’s Tepper School of Business, long-recognized for quantitative problem solving. Carnegie Mellon Executive Education is ideally positioned to help your organization conduct advanced integrative analytics to impact short- and long-term business performance.

Analytics Open Enrollment Programs

Business Analytics: Data-Informed Decision-Making

Harness the power of data to solve complex business problems.

Learn more about the advanced analytics program

Cybersecurity Accountability and the Corporate Board

Learn a baseline of knowledge, new developments, and engage on the potential for business impact.

Learn how to safeguard your organization


Emerging Business Applications of GenAI

Discover current capabilities and limitations of generative AI technology and implications for business.

Learn more about business applications of genai

Transformational AI and Business Strategy

Use AI to manage, lead, and solve complex business problems.

Learn more about Transformational AI

Custom Analytics Executive Education

Leverage Carnegie Mellon’s expertise in Advanced Analytics to customize a program that unlocks the ability to inform decisions and spur growth through data insight. From predictive modeling to prescriptive planning, analytic competency is a must in the digital age of information. Learn more about your customers, your products and your process through expert interpretation of the data available.

Example Program Topics

  • Data Selection, Management, and Competitiveness
  • Descriptive Models for Segmentation and Demand Management
  • Predictive Analytics for Marketing Planning
  • Machine Learning and Artificial Intelligence
  • Advanced Analytics for Marketing, Operations, and Risk Management