Operations Research Curriculum
The operations research curriculum helps students see their path through the three semesters of the MOR or MSOR degree.
Last Updated: 02/18/2026 | All information is accurate and still up-to-date
This guide helps you, the operations research student, plan your three semesters for your MOR or MSOR degree. Therefore, use this template flexibly to fit your schedule. Additionally, regularly talk with your advisor about your progress. Furthermore, check the course directory for prerequisites before registering for classes.
This guide helps you understand your courses and what they involve. Moreover, each course has a + link that includes:
- The course description
- Its credit hours
Master of Operations Research Curriculum (MOR)
OR PRO TIP: Use this template flexibly to fit your schedule. Additionally, regularly talk with your advisor about your progress. Furthermore, check the course directory for prerequisites before registering for classes.
Semester 1
OR 601Â Â Seminar in Operations Research
- You will discuss operations research problems in seminars. Additionally, you will analyze cases and write reports. If you are a graduate student with a minor or major in operations research, you must attend throughout your residence.
- Hours: 1
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Total Hours: 10
Semester 2
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Total Hours: 12
Semester 3
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Total Hours: 9
Minimum Credit Hours Required for Graduation: 31
Master of Science in Operations Research Curriculum (MSOR)
OR PRO TIP: This guide is a template and doesn’t have to be followed exactly. The MOR and MSOR are highly flexible, so you can move courses around to fit your schedule. Talk with your advisor regularly about your progress.
Semester 1
OR 601Â Â Seminar in Operations Research
- You will discuss operations research problems in seminars. Additionally, you will analyze cases and write reports. If you are a graduate student with a minor or major in operations research, you must attend throughout your residence.
- Hours: 1
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Total Hours: 10
Semester 2
Core Class
| Core Courses 1 | |
|---|---|
| Optimization/ Deterministic Models | |
| OR 501 Introduction to Operations Research | |
| OR 504 Introduction to Mathematical Modeling | |
| OR 505 Linear Programming | |
| OR 506 Algorithmic Methods in Nonlinear Programming | |
| OR 531 Dynamic Systems and Multivariable Control I | |
| OR 565 Graph Theory | |
| OR 706 Nonlinear Programming | |
| OR 708 Integer Programming | |
| OR 709 2 Dynamic Programming | |
| OR 719 Vector Space Methods in System Optimization | |
| OR 731 Dynamic Systems and Multivariable Control II | |
| OR 766 Network Flows | |
| Stochastic Models | |
| MA/ST 546 Probability and Stochastic Processes I | |
| MA/ST 747 Probability and Stochastic Processes II | |
| OR 560 Stochastic Models in Industrial Engineering | |
| OR 562 Simulation Modeling | |
| OR 709 2 Dynamic Programming | |
| OR 760 Applied Stochastic Models in Industrial Engineering | |
| OR 761 Queues and Stochastic Service Systems | |
| OR 762 Computer Simulation Techniques | |
| OR 772 Stochastic Simulation Design and Analysis | |
| Data Science and AI | |
| CE 537 Computer Methods and Applications | |
| CSC 505 Design and Analysis of Algorithms | |
| MA 540 Uncertainty Quantification | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 537 Statistical Models for Systems Analytics in Industrial Engineering | |
| ISE 538 Practical Machine Learning for Engineering Analytics | |
| OR 579 Introduction to Computer Performance Modeling | |
| ST 516 Experimental Statistics For Engineers II | |
| ST 554 Analysis of Big Data | |
| ST 558 Data Science for Statisticians |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Thesis (OR 695 Master’s Thesis Research)
- First, you must complete a master’s thesis, typically involving 3 to 6 credits of OR 695 Master’s Thesis Research. Ideally, your thesis should include publishable research.
- Next, form a Graduate Advisory Committee with at least three faculty members and file a committee-approved Plan of Graduate Work with the Graduate School. Ensure your Chair (or co-chair) and one other member are from the OR Faculty. Additionally, include one member as the Graduate School Representative and one representing your minor field of study.
- Finally, pass your final oral examination conducted by your Advisory Committee. This exam will include, but is not limited to, a “defense of thesis.”
- Once you pass the MSOR final oral examination, ensure that each committee member approves your thesis. Submit the thesis to the thesis editor of the Graduate School, adhering to the Guide for Preparation of Theses and Dissertations available from the Graduate School. For detailed information about ETDs, refer to the Electronic Theses and Dissertations page.
- .OR PRO TIP: Be aware of Graduate School submission deadlines for graduation.
- Hours: 3
Total Hours: 12
Semester 3
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Elective
| Area * | Electives |
|---|---|
| Data Analytics, Stats and Computer Science | |
| BAE 555 R Coding for Data Management and Analysis | |
| ECE 542/CSC 542 Neural Networks | |
| ISE 519 Database Applications in Industrial and Systems Engineering | |
| ISE 535 Python Programming for Industrial and Systems Engineers | |
| ISE 748 Quality Engineering | |
| ST 555 Statistical Programming I | |
| ST 556 Statistical Programming II | |
| ST 558 Data Science for Statisticians | |
| ST 563 Introduction to Statistical Learning | |
| Supply Chain and Logistics | |
| ISE 511 Supply Chain Economics and Decision Making | |
| ISE 513 Humanitarian Logistics | |
| ISE 533 Service Systems Engineering | |
| ISE 552 Design and Control of Production and Service Systems | |
| ISE 553 Modeling and Analysis of Supply Chains | |
| MBA 544 Operations Analysis (Warsing's course) | |
| MBA 548 Analytical Supply Chain Management (Heese's course) | |
| Business/Operations Management | |
| ISE 510 Applied Engineering Economy | |
| ISE 511 Supply Chain Economics and Decision Making | |
| *Courses may appear in multiple areas. Be sure to check special topics (e.g. OR 591, OR 791, ISE 589, ISE 789) which vary semester by semester. | |
Thesis (OR 695 Master’s Thesis Research)
- First, you must complete a master’s thesis, typically involving 3 to 6 credits of OR 695 Master’s Thesis Research. Ideally, your thesis should include publishable research.
- Next, form a Graduate Advisory Committee with at least three faculty members and file a committee-approved Plan of Graduate Work with the Graduate School. Ensure your Chair (or co-chair) and one other member are from the OR Faculty. Additionally, include one member as the Graduate School Representative and one representing your minor field of study.
- Finally, pass your final oral examination conducted by your Advisory Committee. This exam will include, but is not limited to, a “defense of thesis.”
- Once you pass the MSOR final oral examination, ensure that each committee member approves your thesis. Submit the thesis to the thesis editor of the Graduate School, adhering to the Guide for Preparation of Theses and Dissertations available from the Graduate School. For detailed information about ETDs, refer to the Electronic Theses and Dissertations page.
- .OR PRO TIP: Be aware of Graduate School submission deadlines for graduation.
- Hours: 3