AI, Analytics, & Technology 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.
Open Enrollment Programs
AI for Business Communication
Leverage Generative AI tools to elevate and streamline your writing, presentation, and conversations.
IMPLEMENT AI STRATEGIES INTO YOUR COMMUNICATION
Business Analytics: Data-Informed Decision-Making
Harness the power of data to solve complex business problems.
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
Design Thinking with AI
Solve complex business problems through human-AI collaboration.
Deliver exceptional value to your customers and stakeholders
Emerging Business Applications of GenAI
Discover current capabilities and limitations of generative AI technology and implications for business.
Transformational AI and Business Strategy
Use AI to manage, lead, and solve complex business problems.
Custom Analytics Executive Education
Leverage Carnegie Mellon’s expertise in AI, Analytics, & Technology 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