The data analytics concentration will arm you with a high-demand skill set—the ability to analyze, manipulate and draw inferences from large data sets. This rising discipline requires practitioners with know-how that cuts across core business disciplines and well-developed critical thinking and communication skills, which are deeply informed by context.
The data analytics concentration must be coupled with a primary concentration within the business administration major. The primary concentrations are:
You receive both the theoretical and practical knowledge essential to applying advanced business data analytics methods and models to a diverse set of business topics and challenges across these functional concentrations in our program.
Data analytics is a limited, competitive enrollment program available only to business administration majors by application at the end of spring of the junior year. In addition to strong performance through junior year, especially in quantitative courses (minimum grades of B in MGQ 201, MGQ 301 and MGS 351), you must be a business administration major with a declared primary concentration in financial analysis, human resources management, management information systems, marketing, or operations and supply chain management.
Application Deadline: June 17
After gaining admission to the data analytics concentration, you will take an additional 12 credits hours of courses in your senior year. The sequence of senior year courses for this concentration are:
MGG 433: Data Modeling
MGS 404: Database Management Systems
MGQ 408: Business Analytics and Data Science
Data Analytics Elective*
*The following are examples of courses that satisfy the data analytics elective. The elective must be a minimum of three-credit hours.
Note that you may not use the same course to satisfy requirements under two different concentrations. The only exception is MGS 404 if your primary concentration is management information systems.
If you do not wish to take any of the electives on the approved list and have identified an alternative data course of interest, you may consult with the faculty advisor for approval. To do so email professor Dianna Cichocki at email@example.com and copy Professor Laura Amo at firstname.lastname@example.org
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School of Management
University at Buffalo
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