2017-2018 Graduate & Professional Studies Catalog [Archived Catalog]
Business Analytics and Operations - Data Mining and Business Analytics Specialization, PhD
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Return to: Joseph M. Katz Graduate School of Business
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Curriculum
PhD students must take three courses in the core plus 15 credits from the following advanced seminars or other approved electives. With the advisor’s approval, students may substitute any of these courses with appropriate graduate-level courses from statistics, economics, or engineering disciplines.
The Secondary Area of Study Consists of:
Note:
The Data Mining and Business Analytics specialization requires a minimum of eight courses, selected by the student in consultation with a faculty advisor, that cover the following core topics: (1) AI programming techniques, (2) mathematical optimization theory, (3) AI theory, (4) problem-solving and modeling techniques, (5) probability and statistics, and (6) networks and graph theory. Advanced seminars and electives should reflect the student’s interests and intended area(s) of application. Students are encouraged to do research in areas of current faculty interest, for the opportunity to develop and use data mining techniques in management.
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Return to: Joseph M. Katz Graduate School of Business
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