Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

Skip to Main Content
University of Pittsburgh    
2016-2017 Graduate & Professional Studies Catalog 
  Jul 23, 2024
2016-2017 Graduate & Professional Studies Catalog [Archived Catalog]

Business Analytics and Operations - Simulation Methodology Specialization, PhD

Return to Academic Programs Return to: Academic Programs


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:


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.

Return to Academic Programs Return to: Academic Programs

Catalog Navigation