| Supply Chain Management Course Schedule |
The course work in the program aims to develop the following skills:
• Broad understanding of business, operations, and supply chain management
• Ability to create value in business through operations excellence
• Stochastic modeling skills, using analytical and simulation methods
• Proficiency in rigorous analysis of data for insights and decisions
Typical Schedule for Operations Ph.D. Students:
Year 1
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Operations Research, Stochastic Processes, Simulation, Multivariate Data Analysis, Microeconomics
Operations MBA courses: Supply Chain Management, Business Processes and Outsourcing
Other MBA courses: Marketing, Finance |
Summer |
Operations Internship |
Year 2 |
Current research in Operations Management, Queueing theory and Markov Decision Processes, Game Theory, Forecasting
Operations MBA courses: Decision Modeling and Risk Analysis
Other MBA courses: Strategic Management |
Summer |
Research Paper |
Year 3 |
Comprehensive exams, dissertation proposal, teaching experience |
Summer |
Operations Internship |
Year 4 and 5 |
Dissertation |
A strong background in statistics and mathematics is a prerequisite for admission to the Supply Chain Management doctoral program.
Prerequisites (before admission)
• Programming in C/C++ and Data Structures
• Use of Matlab or Mathematica
• Linear Algebra (MATH 304/507)
• Real Analysis (MATH 478, 479)
• Probability (MATH 501)
• Statistics (MATH 502)
Recommended Courses
A list of recommended courses is given below which can be used by the faculty advisors to tailor a program based on a student’s interest. Students interested in specializing in empirical research in operations could select more courses in multivariate analysis, econometrics, and structural equation modeling from the School of Management, Economics, Mathematical Sciences, Political science, and Psychology departments.
Core area: 4 courses
• Operations Research (SSIE 553)
• Supply Chain Management (OPM 565)
• Current Research in Operations Management
• Applied Probability and Stochastic Processes (MATH 573 or equivalent))
Advanced Research Methods: 4 courses
• Simulation (SSIE 621)
• Microeconomics (ECON 611, 612/500)
• Game Theory (ECON 461)
• Math Analysis for Economists (Econ 503)
• Multivariate Data Analysis (SSIE 605)
• Econometrics (ECON 615, 616/502)
• Research Methods I (MGMT 682)
• Research Methods II (MGMT 686)
• Forecasting (Independent Study)
Specialization courses: 3 courses
• Queueing Applications and Markov Decision Process
• Operations Management Seminar)
• Additional courses from Research Methods or independent studies
Operations MBA Courses
• Operations Management (MGMT 507)
• Decision Modeling and Risk analysis (OPM 560)
• Business Processes and Outsourcing (OPM 581)
Required MBA Courses
• Management Information Systems (MGMT 500)
• Accounting for Managers (MGMT 501)
• Finance for Managers (MGMT 505)
• Marketing for Managers (MGMT 506)
• Operations Management (MGMT 507)
• Organizational Behavior (MGMT 508)
Some courses of interest on campus
SSIE and Mathematical Sciences MS Courses
• Stochastic Systems (SSIE 660)
• Modeling And Simulation (SSIE 520)
• Design of Experiments (SSIE 566)
• Production & Schedule Control (SSIE 511)
• Advanced Probability Theory (MATH 571)
• Stochastic Processes (MATH 572)
Health Care
• Industrial and Systems Engineering In Health Care (SSIE 537)
• Health Care Finance & Economics (MGMT 589B)
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