Joel Shapiro, JD, PhD, is clinical associate professor of data analytics and academic director of executive education at Kellogg.

Joel is an expert on helping business leaders and organizations generate business value by building and scaling enterprise-wide analytics strategies that achieve important business goals.  With a laser focus on building real and lasting business value, Joel helps organizations match  ensure smart analytics investment and sustainable success.   

Joel teaches Kellogg’s experiential class Analytical Consulting Lab, an advanced analytics elective in Kellogg’s MBA program, and hundreds of executive education students each year.  His work has been featured globally via regular keynote addresses and thought-leader authorship top business publications.  Joel is also a recognized expert in the creation and management of online learning programs and the impact of new methods of teaching and learning on traditional models of higher education. 

Joel holds a PhD in policy analysis from the Pardee RAND Graduate School in Santa Monica, CA, a JD from Northwestern University School of Law in Chicago, IL, and a BS in physics from the University of Michigan in Ann Arbor, MI.  

• Doctor of Philosophy, 2003, Political Analysis, RAND Graduate School
• Juris Doctor, 1998, Northwestern University School of Law
• Bachelor of Science in Physics, 1994, College of LSA, University of Michigan

• Adjunct Faculty, School of Continuing Studies, Northwestern University, 2003-present
• Adjunct Faculty, Graduate Statistics, School of Education, Loyola University, 2003-2003
• Physics Teacher, Lincoln Park High School, 1994-1995

• Attorney, Schwartz & Freeman, 1998-1999
• Policy Analyst / Doctoral Fellow, RAND Corporation, 1999-2001
• Senior Researcher, ROCKMAN ET AL, 2003-2007

Advanced Marketing Management

For executives navigating an ever-changing marketing landscape, this program gives participants practical knowledge of marketing management tools and how to implement them into a successful strategy across multi-level teams.

Enterprise Leadership Program

Leadership at the enterprise level means rising to the challenge. No longer is your growth linear — it’s exponential. The focus moves past the single team or unit to the enterprise as a whole, beyond functional skills to strategic decisions based on a broader perspective. Kellogg Executive Education’s Enterprise Leadership Program prepares you to lead at height and scale and helps you develop an anticipatory mindset.

Leading Into the Future

As the world of business changes at breakneck speed, executives must stay at the forefront of management thinking and practice. This program delivers a wealth of new knowledge and insights for managing change with confidence in the 21st century.

Leading with Advanced Analytics and Artificial Intelligence

Previously Named: Leading with Big Data and Analytics

Sophisticated subject matter in an easy-to-understand, accessible format equips executives with the working knowledge needed to seize opportunities that analytics, artificial intelligence and a data strategy presents and put data analytics to practical use.

The Customer-Focused Organization

The digital revolution is empowering customers, fueling disruptive innovation and globalization of markets. In the wake of these challenges, firms that are customer-centric thrive. Learn how leaders successfully infuse a customer-centric perspective throughout an organization, generate value, build brands with meaning, and offer exceptional customer experiences to win in the digital age.

Field Study (STRT-498-0)
Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.

Analytical Consulting Lab (MECNM-615-0)


Analytical Consulting Lab (MECN-615-0)
Analytical Consulting Lab is an experiential course for students interested in applying their analytics skills to help real clients use real data to solve real problems. Projects will include a range of sophistication of analytic techniques - some might call for advanced statistical modeling and machine learning techniques, while others may focus less on analysis of data and more on helping a client craft an appropriate analytics strategy. Projects are pre-approved by faculty, and will touch many industries and aspects of business management.

For more information, click here to visit the ACL website. Password: shapiro

Note: This course may not be dropped after the first week of the quarter. By application only.

Data Analytics Decisions (KMCI-940-0)
This course will provide students with the opportunity to enhance business decision-making using predictive and evaluative analytics tools and concepts. Our goal will be to master a rigorous and portable framework that we will apply across a wide range of business contexts. We'll build statistical and machine learning models in Stata, R (no prior experience in R is needed), and more, emphasizing methods only to the extent that they yield improvements in real-life decision-making. Students will also research applications of analytics to contexts that they find personally or professionally compelling. By the end of the course, students will have developed a powerful understanding of analytics' strengths and limitations, thus enabling them to be truly effective data-driven business leaders.

Field Study (KMCI-498-5)
Field Study