Chairperson: Mark Barratt, Ph.D.
Department of Management website
The curriculum provides students an operational knowledge of data preparation, including understanding the business problem, understanding which data to collect, and how to clean and prepare data that is frequently messy and unstructured to make it ready for analysis. Students also learn a variety of descriptive, prescriptive and predictive analytic techniques, data visualization techniques, basic machine-learning and artificial intelligence practices, and the methods to effectively communicate insights derived from analysis to senior management. The major concludes with an integrated, cross functional applied industry-based project, with students working in teams on a large real-world data set. Requiring a double major, students also obtain another major in a functional business field such as accounting, economics, innovation and entrepreneurship, finance, information systems, human resources management, marketing, real estate or supply chain management.