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The MS/OR Curriculum

To obtain the Master of Science degree in Operations Research, completion of an approved plan of study with a minimum of 30 semester hours (10 courses) of graduate level coursework is required. The program contains four core courses which provide students with a comprehensive understanding of the basic techniques and applications of operations research.  Students must also complete an applied team project under the course OR 699. The remaining five courses are chosen by the student and faculty advisor to reflect the student's interests, and must include at least one of 600 level or above course in each of deterministic and stochastic OR.

Core Courses:

  • OR 541 Operations Research: Deterministic Model
    (Students who have taken a similar course such as OR 441 within two years prior to commencement of their M.S. studies are encouraged to substitute a deterministic elective.)
  • OR 542 Operations Research: Stochastic Model
    (Students who have taken a similar course such as OR 442 within two years prior to commencement of their M.S. studies are encouraged to substitute a stochastic elective.)
  • OR 568 Applied Predictive Analytics
  • OR 635 Discrete Event Simulation

Masters Project

  • OR 699 Masters Project
    (This course should be taken in the last Spring semester of the student's studies.)

Elective Courses:
The five elective courses must include at least three 600-level or higher OR courses, including at least one deterministic methods course and one stochastic methods course. Up to two additional elective courses may be chosen with the written concurrence of the student's advisor. These courses should be taken in an area appropriate to the student's interests, such as operations research, systems engineering, statistics, computer science, electrical and computer engineering, economics, and mathematics. At least one of these electives must be taken from SEOR's course offerings. Students interested in developing expertise via a concentration should choose the electives from the appropriate concentration area courses.

Deterministic Methods Courses:

Stochastic Methods Courses:
  • OR 645 Stochastic Processes
  • OR 647 Queueing Theory
  • OR 674 Dynamic Programming
  • OR 675 Reliability Analysis
  • OR 677 Statistical Process Control
  • SYST 664 Bayesian Inference and Decision Theory
OR Elective Courses:
The following is the full list of the OR elective courses, Here S indicates a Stochastic Methods course, D indicates a Deterministic Methods course.
  • OR 641 Liner Programming (D)
  • OR 642 Integer Programming (D)
  • OR 643 Network Modeling (D)
  • OR 644 Nonlinear Programming (D)
  • OR 645 Stochastic Processes (same as STAT 645) (S)
  • OR 647 Queueing Theory (S)
  • OR 649 Topics in Operations Research
  • OR 651 Military Operations Research: Cost Analysis
  • OR 652 Military Operations Research: Effectiveness Analysis
  • OR 660 Air Transportation Systems Modeling (same as SYST 660)
  • OR 670 Metaheuristics for Optimization (D)
  • OR 674 Dynamic Programming (same as SYST 674) (S)
  • OR 690 Optimization of Supply Chains
  • OR 719 Computational Models of Probabilistic Reasoning (same as STAT 719, CSI 775)
  • OR 735 Advanced Stochastic Simulation (Same as SYST 735)
  • OR 774 Advanced Dynamic Programming
  • OR 780 Queuing Modeling of Computer-Communication Networks
  • OR 782 Advanced Topics in Combinatorial Optimizations
  • OR 783 Advanced Topics in Network Optimization
  • OR 784 Advanced Topics in Nonlinear Programming

Electives Within IT&E:

  • Any OR course > 600
  • Any SYST course >500
  • Any STAT course ≥ 554
  • Any CEIE course > 500 but not 601
  • Any CS course > 500
  • Any ECE course > 500 but not 528

Electives External to IT&E (subject to approval by the Department Chair):

  • Any MATH course > 601 and permitted for Math majors
  • Any CSI course > 610
  • any ECON course > 611
 



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