Ranking of Operations Research, Systems Engineering, and Industrial Engineering Graduate Schools

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Your Ranking of Operations Research, Systems Engineering, and Industrial Engineering PhD Programs

Programs 1–30
RankProgramRegres QualitySurvey QualityStudent OutcomesJobs at GradDiversityStudentsFacultyStudent / Faculty
1-1Georgia Institute of Technology-Main Campus Industrial Engineering1-31-712-3064%9-291681241.4
2-2Stanford University Management Science and Engineering1-21-610-3089%41-6098372.6
3-6Massachusetts Institute of Technology Operations Research2-41-52-1273%*29-5335311.1
3-7University of Michigan-Ann Arbor Industrial Operations and Engineering4-119-245-2487%27-5164581.1
3-10Purdue University-Main Campus Industrial Engineering6-228-2423-4775%9-2681711.1
3-11Virginia Polytechnic Institute and State University Industrial and Systems Engineering5-2816-3717-3276%12-3585811.0
4-11Northwestern University Industrial Engineering and Management Sciences4-121-96-2776%15-4040331.2
5-12Pennsylvania State University-Main Campus Industrial and Manufacturing Engineering7-238-2225-4162%18-4195751.3
5-13Carnegie Mellon University Engineering and Public Policy8-283-157-2473%*28-5552541.0
5-12Carnegie Mellon University Operations Res/Information Systems/Manufacturing and Operating Systems4-173-103-1573%*35-5935361.0
7-14Cornell University Operations Research6-184-131-10NA35-5940281.4
7-15University of California-Berkeley Industrial Engineering and Operations Research3-101-1049-6178%5-1448192.5
11-20Pennsylvania State University-Main Campus Operations Research8-3014-2928-4862%15-4431930.3
12-20University of Wisconsin-Madison Industrial Engineering6-2212-2934-5075%15-3969272.6
12-21Arizona State University Industrial Engineering11-347-2130-4866%14-3684302.8
RankProgramRegres QualitySurvey QualityStudent OutcomesJobs at GradDiversityStudentsFacultyStudent / Faculty
13-23University at Buffalo Industrial Engineering27-5316-353-1583%13-3540361.1
13-22University of Pennsylvania Operations and Information Management5-2617-309-27NA42-6426450.6
13-23Princeton University Operations Research and Financial Engineering11-295-187-25NA19-4324191.3
14-24University of Pittsburgh-Pittsburgh Campus Industrial Engineering30-5517-391-878%15-4134410.8
14-30University of Nebraska-Lincoln Industrial and Management Systems Engineering28-658-281-2373%*1-212210.6
15-29University of Florida Industrial and Systems Engineering12-408-315-3073%*15-3848143.4
14-28University of Iowa Industrial Engineering11-378-278-2870%3-716101.6
15-33University of Maryland-College Park Reliability Engineering6-296-2650-65NA53-6654291.9
20-33Texas A & M University Industrial Engineering17-3921-4332-4842%4-1273491.5
20-33University of Arizona Systems and Industrial Engineering25-5413-3210-3073%*48-6431350.9
21-34North Carolina State University at Raleigh Operations Research13-4029-4913-3950%3-933580.6
20-41North Carolina State University at Raleigh Industrial Engineering7-2316-3810-5050%16-4151252.0
23-38Lehigh University Industrial and Systems Engineering20-3931-5232-5293%33-5946162.9
23-39Rensselaer Polytechnic Institute Decision Sciences and Engineering11-3023-4021-4350%14-3636420.9
25-41Columbia University in the City of New York Operations Research13-3017-3749-63NA36-5732181.8

Item Descriptions

Rank
A range indicating how this program ranked in 500 simulated rankings based on your priorities. Programs are sorted by their median rank. Learn more.
NRC regression-based quality measure (Regres Quality)
The NRC's measurements of overall program quality are based on 20 key variables (19 in the humanities) such as GRE scores, student support and faculty publications. To calculate the regression-based quality measure, the relative importance, or weight, of a variable was set by the extent that it correlated with programs viewed most favorably by evaluators in each field. Learn more. Your weight = 3. Larger values are better. (Source: NRC, 2010)
NRC survey-based quality measure (Survey Quality)
The NRC's measurements of overall program quality are based on 20 key variables (19 in the humanities) such as GRE scores, student support and faculty publications. To calculate the survey-based quality measure, evaluators in each field identified the variables that they considered to be the most important indicators of program quality. Learn more. Your weight = 5. Larger values are better. (Source: NRC, 2010)
Student support and outcomes (Student Outcomes)
This variable is a composite of other measures of student support and outcomes, including 6-year or 8-year graduation rates (for non-humanities programs and humanities programs, respectively), time to degree, job placement within academia, percentage of first-year students with full financial support, and whether a program collects data about the employment outcomes of its graduates. The relative importance of these variables was determined by the direct assessments of some 50 faculty in each field. Your weight = 2. Larger values are better. (Source: NRC, 2010)
Placement Rate (Jobs at Grad)
This variable shows the percentage of students with definite plans at graduation (either a job or a postdoctoral position), based on data from the student questionnaire. Your weight = 2. Larger values are better. (Source: SED, 2000–2004)
Diversity in the academic environment (Diversity)
This variable shows a composite measure of diversity generated by the National Research Council. It includes data on percent of faculty and students from underrepresented minorities, percent of female faculty and students, and percent of international faculty and students. The relative importance of these variables was determined by the direct assessments of some 50 faculty in each field. Your weight = 1. Larger values are better. (Source: NRC, 2010)
Total students (Students)
This variable shows the total number of doctoral students enrolled in the program in fall 2005 as reported in the program questionnaire. Your weight = 2. Larger values are better. (Source: NRC, 2010)
Total Faculty (Faculty)
This variable reports the total number of faculty participating in the program. Your weight = 2. Larger values are better. (Source: NRC, 2010)
Grad Student / Faculty Ratio (Student / Faculty)
This variable shows the number of graduate students per faculty member in the program. Your weight = -1. Smaller values are better. (Source: NRC, 2010)

Data Sources

Integrated Postsecondary Education Data System
IPEDS is an annual, comprehensive set of surveys of all colleges and universities in the United States. The surveys are conducted by the National Center for Education Statistics.   Learn more
National Research Council
The National Research Council conducts periodic assessments of doctoral programs in the United States. Our data comes from the most recent assessment in 2010.   Learn more
Survey of Earned Doctorates
The NSF/NIH/NEH/USED/USDA/NASA Survey of Earned Doctorates is an annual survey of all new recipients of doctorates from US universities at graduation. The average of the response rates for the 2000–2004 surveys was 92%.   Learn more
Survey of Graduate Students and Postdoctorates in Science and Engineering
The Survey is an annual assessment of the number and characteristics of graduate students and postdoctoral researchers in science, engineering, and health-related fields It is conducted by the National Science Foundation.   Learn more
* Value is missing. The value shown is based on the average for other programs in the same field. Learn more.

The graduate school rankings on PhDs.org have been made possible by grants from The Alfred P. Sloan Foundation and The Burroughs Wellcome Fund.
The National Postdoctoral Association and The Center for Science and the Media have served as the project's fiscal sponsors.