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Master's in Business Analytics Program Overview

Data analytics, often referred to as “Big Data,” is an emerging and immensely powerful resource for businesses and other organizations, especially because of its predictive capabilities.


Companies use big data to learn more about their customers and their needs. Researchers in the health care industry, for example, have been able to track disease patterns, organize patient information, and determine the best treatments. Geographers are able to analyze both land features to aid architects and hiking trends to assist rescue teams.

Within the next three years, there will be roughly two million job openings in data analytics, but only about one-third of them are expected to be filled. As a result, starting salaries for business analytics specialists are expected to be exceptionally high.

Through our curriculum, you will take six required statistical courses. Elective course clusters will enable you to further refine your expertise by applying it to one of six professional disciplines, adding value for you and your current or prospective employer. You’ll take six required statistical courses, and can specialize your studies by concentrating in one of six clusters: data science, economics, information management, management, marketing and finance. You also will be able to work directly with professors and our data analytics research team on research projects.

To learn more about our Master's of Business Analytics, we invite you to attend one of our information sessions, some of which offer a hybrid format, allowing you to participate on campus or from a remote location.

To learn more about our Master's of Business Analytics applicants, visit our student profile.

Interested in learning more about the Business Analytics Program?

Our Admissions Staff would be happy to speak with you about your plans for pursuing a graduate degree. For admissions related questions, please contact Kaitlin Hurley. For curriculum related questions, please contact Program Director, Mingfei Li.