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Leading with AI
Kellogg School of Management

Leading with AI

Kellogg School of Management, Evanston
4 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

Available Cohorts

Choose your preferred start date

Sep 14 - Sep 17, 2026
4 days · in-person · Instructor-Led · Chicago
Open
Apr 12 - Apr 15, 2027
4 days · in-person · Instructor-Led · Chicago
Open
$12,500

All-inclusive program fee

About This Program

Previously Named: Leading with Advanced Analytics and Artificial Intelligence. Technology and data science specialists are not the only ones responsible for leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges. Rather, organizational leadership is responsible for understanding and directing these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, enabling them to identify the challenges that analytics, machine learning and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world challenges.

Why Kellogg School of Management?

Kellogg School of Management stands out for its distinctive emphasis on collaborative leadership, a deep integration of marketing and strategy, and a commitment to developing leaders who drive innovation. Its programs are designed for executives seeking to enhance their general management capabilities through a highly interactive and team-oriented learning environment.

Your Profile

  • Leaders who want to scale analytics and AI in their organization
  • Senior leaders who want to build a culture of data-driven decision making
  • Functional leaders in areas such as marketing, finance and other operational areas who would benefit from a better understanding of how to leverage analytics and AI in decision-making
  • Data scientists who want to learn how to create business value with analytics and improve their communication with non-technical managers

Benefits

  • Identify the business challenges that can benefit from analytics and AI
  • Distinguish between good and bad analytics
  • Learn to ask the right questions and challenge assumptions of analytics and AI
  • Utilize data, analytics and AI to drive successful business outcomes
  • Assemble the team and resources needed to drive data analytics
  • Gain the leadership confidence to stay ahead of a rapidly changing marketplace

What You'll Learn

  • Why Analytics Needs You and Why You Need Analytics: Understand why analytics is every leader's problem; Judge what good analytics looks like; Identify where analytics adds value; Lead with confidence.
  • The Kellogg Analytics Framework: Understand exploratory, predictive and causal analytics; Learn to link analytics with strategy and business objectives; Develop strategic versus reactive analytics initiatives.
  • How to Distinguish Good from Bad Analytics: Gain insight into what can and cannot be learned from the underlying data that is used to produce the analytics; Understand the data-generation process; Learn how to check for "junk science"; Study the four core questions of good data analytics.
  • Creative Gaming Simulation: Run your own prediction using predictive analytics to understand how better data yield better predictions; Launch your own experiment utilizing an experimental methods framework; Understand how advanced machine learning and AI models generate business value.
  • Growth and Scaling with Artificial Intelligence: Understand the AI ecosystem; Build AI teams; Understand advanced predictive analytics: machine learning and AI.
  • How to Build Organizational Muscle in Analytics: Overcome barriers to scaling analytics; Learn how to manage and develop analytics talent; Develop a customer-centric view that guides analytics throughout your organization; Gain insight into how leading organizations create career paths for analytics talent.
  • How to Apply Analytics to Your Business: Leverage action-learning projects for greater insight; Discover how successful organizations utilize data and analytics.

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

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

  2. 2

    Compare programs

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  3. 3

    Contact the school

    Send a message directly to Kellogg School of Management 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 Kellogg School of Management's official application portal.

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