Executive MBA: Data Science & Analytics

An EMBA is ideal for professionals working in analytical roles within their organization. By learning about all aspects of business and deepening understanding of IT, data science and analytics, students are equipped to take on broader management responsibilities and advance in their companies.

Applying what they learn in class immediately to their jobs, EMBA students add value to their organizations as they bring back knowledge, best practices, and cutting-edge research. They learn to use data analytics to make better decisions and build better strategies for the company and customers.

While Wharton does not offer an EMBA in data science and analytics, the quantitative-focused curriculum provides multiple learning opportunities for students in any industry.

See how we deliver the undiluted Wharton MBA to professionals through our Executive MBA program. 

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Data Science & Analytics Courses & Curriculum

While “data analytics” is a popular trend in business schools, it’s been a focus at Wharton for decades. A pioneer in the area of data science and analytics, these topics are built into the executive MBA core curriculum. Students can further explore these topics in electives during their second year as well as through the Wharton Customer Analytics Initiative (WCAI) and Wharton People Analytics.

Examples of classes include:

Regression Analysis for Business This core course provides the fundamental methods of statistical analysis, the art and science of extracting information from data. First focusing on the basic elements of exploratory data analysis, probability theory and statistical inference, it proceeds to explore the use of the key statistical methodology known as regression analysis for solving business problems.The use of regression diagnostics and various graphical displays supplement the basic numerical summaries and provide insight into the validity of the models.

Managing the Productive Core of the Firm: Business Analytics – This core class covers business analytics models and ideas that provide powerful, surprising qualitative insights about a large spectrum of managerial problems. Students learn the kinds of problems that can be tackled quantitatively, the methods and software available for doing so, and the challenges involved in gathering the relevant data.

Business Foundations – This core course teaches students how to apply mathematical analysis to real operational challenges. Students’ goal is to provide both the tactical knowledge and high-level insights needed by general managers and management consultants.

Marketing Management – Students learn to apply analytic perspectives, decision tools, and concepts of marketing to decisions like product offerings, communications programs, distribution channels, and pricing.

Marketing Research – This elective provides a rigorous experience in marketing research methods. The course is aimed at the manager, who is the ultimate user of the research and is responsible for determining the major scope and direction of research activities. Techniques of data collection, evaluation of alternative sources of information, and methods of evaluating data and presenting the results are covered. The course should help managers recognize the role of systematic information gathering and analysis in making marketing decisions.

Prof. Richard Waterman – How EMBA students can use regression analysis and predictive analysis to transform business decision-making.

Prof. Cade Massey – From Moneyball to people analytics, how evidence-based decision making can help organizations thrive.

What Can I Do in Data Science or Analytics with an EMBA Degree?

Whether you work in an analytical role and want to take on broader management responsibility, or you want to transition into a new field, an MBA can help you achieve your goals. By combining a solid foundation of business knowledge with advanced analytics tools, you can accelerate your career in any direction.

Edgardo Jimenez, WG’20 – How this mechanical engineer transitioned from heavy industry to technology.

Jerry Huang, WG’18 – How this alumnus is using data analytics to increase access to affordable fruits and vegetables.

Preeti Rathi, WG’14 – How Wharton helped this alumna pivot from tech to VC.