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    Business Analytics: Data-Informed Decision-Making
    Carnegie Mellon: Tepper

    Business Analytics: Data-Informed Decision-Making

    Carnegie Mellon: Tepper, Pittsburgh
    HomeData & AICarnegie Mellon: TepperBusiness Analytics: Data-Informed Decision-Making
    12 daysDuration
    onlineFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Sep 17 - Oct 2, 2026
    12 days ยท online ยท Instructor-Led
    Open
    $4,500

    All-inclusive program fee

    About This Program

    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, harness it for effective use, interpret analysis, and successfully lead teams of analysts. Whether you need to identify pain points, streamline processes, increase productivity, or focus on the future to identify potential areas for growth and innovation, discover how data analytics can lead the way. This program will equip you with not only a deeper understanding of the tools and techniques available, but an ability to identify potential use cases in your organization, and importantly, to clearly convey insights garnered to executive stakeholders-driving implementation and results. Through an introduction to 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. Highlighted applications and use cases include customer churn, logistics, and people analytics. Walk away with tools to build an organization and team fluent in data analysis, ready to harness the power of data for advanced business insights.

    Why Carnegie Mellon: Tepper?

    Tepper sits at the intersection of rigorous quantitative analysis and genuine leadership development โ€” a combination that is rare in executive education and harder still to replicate. Its institutional home inside Carnegie Mellon University means participants draw on one of the world's premier technology and computer science ecosystems, making Tepper's programs unusually relevant for executives navigating AI, automation, and data-driven strategy. If you want an MBA or executive program shaped by engineers as much as economists, Tepper is in a category of its own.

    Your Profile

    • 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 abundant data but may not know how to leverage it.
    • The course develops leaders who can solve problems through a high-level, advanced understanding of data - how to recognize and prioritize business use cases for data analytics, how to lead teams empowered to use data, how to interpret and translate the findings into business decisions, and how to communicate the associated business value.
    • Individuals interested in pursuing their Certificate in Executive Leadership + AI.

    Benefits

    • Identify what business problems are amenable to data analytics and how to transform organizational data into actionable insights
    • Increase familiarity with data analytics techniques and the ability to choose the appropriate tool for solving a problem with data
    • Ensure your organization is collecting the right data and has the appropriate organizational alignment for successful implementation
    • Recognize how to use data analytics to innovate and improve operational efficiency
    • Understand the future potential of data analytics, including artificial intelligence

    What You'll Learn

    • Session One - Introduction: The Role of Analytics for Business Decision Making - historic overview of analytics, its stages and organizational impact, including the ladder of analytics: descriptive, predictive, and prescriptive analytics.
    • Session One - Afternoon: Making Sense of Data Through Descriptive Analytics - explore the value of data and how data mining and AI methods can be applied, using the business problem as the guide to data exploration to ensure impactful outcomes.
    • Session Two - Morning: Understanding the Consequences of a Decision with Predictive Analytics - discuss how predictive analytics models, from statistics and machine learning to artificial intelligence, can be used for business applications ranging from marketing to operations; various methods will be discussed including regression models, decision trees, and neural networks.
    • Session Two - Afternoon: Analytics Case Team Exercise - participants will apply previously discussed analytics tools to a problem case, including choosing the best model and measuring its impact.
    • Session Three - Morning: Optimizing Decision Problems Using Prescriptive Analytics - explore how prescriptive analytics models based on mathematical optimization can solve large-scale decision problems optimally and learn how these tools can be used for strategic, tactical, and/or operational decision making.
    • Session Three - Afternoon: Analytics Case Team Exercise - participants will apply previously discussed analytics models to a problem case, with a specific focus on strategic, tactical, and/or operational use.
    • Session Four - Morning: Industry Expert Guest Lecture on Analytics in the Enterprise - discussion of common pitfalls, organizational issues, and the role of the analytics team, with emphasis on the decision process structure of the organization.
    • Session Four - Morning: Analytics Case Team Presentation and Wrap Up - participants will present findings of the exercises developed throughout the program; participants will identify concrete steps for applying key concepts, tools, and frameworks to develop a data analytics strategy in their own organizations.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8โ€“15 years of professional experience.

    2. 2

      Compare programs

      Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

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    3. 3

      Contact the school

      Send a message directly to Carnegie Mellon: Tepper via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through Carnegie Mellon: Tepper's official application portal.

      Apply now โ†’