Business Analytics and Operations - Stochastic Modeling and Applied Statistical Methods Specialization, PhD

Core Courses:

• BQOM 3011 - LINEAR PROGRAMMING
• BQOM 3012 - NONLINEAR PROGRAMMING
• BQOM 3013 - STOCHASTIC PROCESSES
• BQOM 3020 - SIMULATION

Advanced Seminars:

• BQOM 3014 - NETWORKS
• BQOM 3017 - ADV TOPICS OPERATIONS RESEARCH
• BQOM 3018 - DECISN MAKING IN COMPLX ENVRN

The Secondary Area of Study Consists of:

• BQOM 3011 - LINEAR PROGRAMMING
• BQOM 3013 - STOCHASTIC PROCESSES and
• one other approved PhD seminar from among those given above or from other approved electives

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.