Leadership Program in AI and Analytics

Look for a program that combines expert faculty, a rigorous curriculum, live interaction, responsible AI and governance coverage, and opportunities to apply the learning to a real organizational challenge. This six-month program brings those elements together through faculty-led learning and an organization-specific capstone project for senior leaders.

Start with your role, goals, and the kinds of AI-related decisions you are expected to make. This program is designed for senior leaders who need to evaluate AI opportunities, connect AI and analytics with business strategy, guide implementation, and navigate governance and responsible adoption rather than develop models or write code.

Choosing an appropriate AI course for executives depends on your role, goals, and the kinds of decisions you are expected to make. Programs described as advanced AI leadership, advanced AI for business growth, or AI for senior executives can differ in focus — some emphasize strategy and value creation, while others explore implementation, scaling, or governance. The key is to choose a program that aligns with your responsibilities and the context in which you engage with AI.

The current program fee and payment options are listed on this page. The fee covers academic content, online coursework, and faculty interaction; travel, accommodation, and the optional on-campus networking event are additional. Please refer to the fee section for the latest amount and any applicable tuition benefits.

The program is designed to help senior leaders identify high-impact AI opportunities, evaluate AI and machine learning technologies, interpret data-driven insights, navigate governance and ethical considerations, and align AI initiatives with enterprise strategy. Participants apply these capabilities through an organization-specific capstone project focused on an AI strategy and implementation road map.

The program is designed for senior-level professionals who make strategic decisions across business, strategy, operations, or technology-related roles. It approaches AI, machine learning, and analytics from a leadership and business perspective rather than as advanced technical or model-development training. Please contact the program team if you need to confirm a formal admissions requirement.

The program's curriculum is designed for nontechnical senior executives who need to guide AI strategy, evaluate opportunities and risks, and lead teams working with AI and analytics. It emphasizes strategic judgment, data and AI fluency, governance, and organizational application rather than hands-on coding or advanced model development. If you do not have a technical degree, please contact the program team to confirm any formal admissions requirements.

A course in AI and analytics can give executives the strategic foresight, decision-making frameworks, and peer perspectives needed to lead confidently in an AI-driven business environment. The Wharton Leadership Program in AI and Analytics develops these capabilities through faculty expertise, real-world applications, and a global cohort, enabling participants to leverage AI and machine learning for lasting organizational impact.

Executives in AI and analytics leadership can come from diverse professional backgrounds, including business, strategy, operations, or technology-related roles. The Wharton Leadership Program in AI and Analytics is best suited for senior-level professionals with experience in making strategic decisions that leverage AI for business impact. This program enables you to build the foresight, analytical fluency, and leadership expertise needed to excel.

Many senior executives leading AI and analytics initiatives begin from business, strategy, or operational backgrounds rather than technical ones. Success in these roles often reflects the ability to guide strategic priorities and lead teams working with AI and analytics. The Wharton Leadership Program in AI and Analytics is designed for senior executives, providing the strategic insight, analytical fluency, and leadership frameworks to help you confidently shape the future of AI in business.

Consider the leadership role you hold, the business impact you need to create, and your responsibility for directing AI strategy, implementation, or governance. This program is structured for senior leaders who need to evaluate AI opportunities and risks, align initiatives with organizational goals, and guide teams working with AI and analytics.

Participants learn to identify high-impact AI opportunities, evaluate technologies for business relevance, interpret AI-driven insights, and navigate implementation, governance, legal, and ethical considerations. The organization-specific capstone project then provides a structured opportunity to develop an AI strategy and implementation road map for a real organizational context.

Training for leadership in AI and analytics requires more than technical skills, it calls for strategic vision, decision-making frameworks, and the ability to guide teams in applying AI to real business challenges. The Wharton Leadership Program in AI and Analytics provides this preparation through faculty-led sessions, case studies, and a flexible learning experience that equips executives to leverage AI and machine learning for lasting business impact.

An executive AI program helps senior professionals understand how artificial intelligence and analytics influence business strategy, decision making, and organizational growth. This program focuses less on coding and technical execution and more on evaluating opportunities, interpreting data-driven insights, managing risk, and guiding adoption through faculty insight, peer discussion, and practical leadership frameworks.

This program is designed for senior executives, functional heads, and decision-makers responsible for transformation, performance, innovation, or other initiatives in which data and AI play a growing role. It is particularly relevant for leaders who want to engage more effectively with AI-driven strategy and guide informed conversations with technical and business teams.

Consider whether the delivery format fits the way you learn and the time you can commit. This program combines self-paced online modules, faculty-led live sessions, integrated live webinars, peer interaction with a global cohort, and applied project work across a six-month learning journey.

The program is designed to fit alongside a full-time role. Participants should plan to spend four to six hours per week on a combination of self-paced modules and live interaction.

The program combines self-paced online learning with faculty-led live sessions and integrated live webinars. Participants also learn alongside a global cohort and can engage through live discussions and the program's Slack channel. The learning journey concludes with an optional two-day on-campus networking and recognition event in Philadelphia.

No. Completing the Leadership Program in AI and Analytics does not itself grant Wharton alumni status. Participants can build relationships through the global cohort, live discussions, and the optional on-campus event, but these program networking opportunities are separate from Wharton alumni membership. The program provides one credit toward the six required for Wharton's General Management Program. Subject to further qualification criteria and additional tuition, participants may subsequently apply through that pathway for Wharton alumni status.

The six-month learning journey includes live webinars as well as live online and video online sessions with renowned faculty, industry experts, and global peers. You can take advantage of weekly live sessions and the Slack channel to ask questions and discuss ideas with your success coach and cohort participants. Real-world examples and a debrief of the program learnings are delivered through a combination of recorded video and live online lectures. The program concludes with a two-day on-campus recognition ceremony and networking event on the University of Pennsylvania campus in Philadelphia.

While the program does not grant alumni status, it opens up a unique pathway to apply for prestigious Wharton alumni status upon further qualification criteria and additional tuition. As a part participant of this transformative program, you get exclusive access to a wide range of professionals, events, and networking opportunities. You can also benefit from additional tuition assistance upon enrolling in further online electives from Wharton Executive Education.

The program fee covers teaching fees, all academic material, and access to online coursework. The fee does not include the registration fee of US$250 for the optional two-day on-campus networking and recognition ceremony, accommodation expenses for the on-campus event, travel expenses (domestic and international, including visa fees), and any other expenses not specifically mentioned in the program fees.

The program offers full-payment and installment options, and an early application tuition benefit may be available. A customizable template for requesting employer sponsorship is also available. For the latest payment, tuition-benefit, or financial-aid information, please consult the program team.

Yes. We provide closed captioning and transcripts for all pre-recorded videos as well as closed captioning for recordings of live sessions.

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

To view the program refund and deferral policy, please visit the Refund and Deferral Policy page.

Program fees for Emeritus programs with Wharton and Emeritus may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

Yes. The curriculum covers generative AI and large language models alongside responsible AI, bias, governance, legal and regulatory considerations, and the organizational impact of AI. Integrated live webinars also examine current generative AI developments, including large language model foundations, enterprise adoption challenges, and AI agents.