Program Lead: Rand Ford, Ph.D.

This 36-semester hour program prepares the student by providing depth in analytics during the first year and focused functional study during the second year that can be applied to any discipline or any interdisciplinary area. Data analysts are forging new relationships in virtually every discipline: business, healthcare, geology, mathematics and statistics, biology, chemistry, computer science, information systems and technology, engineering, psychology, behavioral science, operations research and more, in addition to potential interactions between these disciplines, using role-based interaction with information and analytics to enable highly- collaborative, data-driven organizations The graduate of this program enters the workforce prepared for the complex, information-intensive world. The Analytics student may specialize in the following areas: Natural Language Processing, Machine Learning, Forecasting or an individualized concentration.


Browse the Analytics, Graduate (ANMS) Collections:

Dissertations and Theses

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Other Student Works