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Ranking of Statistics and Probability Graduate Schools

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The rankings below have been generated using the priorities you set. You can change your priorities or get rankings for a different field.

About the rankings »

The box plots in the "Rank" column show the uncertainty in each program's ranking. Learn more.
Hover over table headers to see more details.
Data sources and weights for each item are listed at the bottom of the page.
Better values are shown in green. Worse values are shown in red.
Learn more about the ranking algorithm.

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Your Ranking of Statistics and Probability PhD Programs

Programs 1–30

Rank	Program	Regres Quality	Survey Quality	Student Outcomes	Jobs at Grad	Diversity	Tuition Remis	1st Yr Support
1-1	Stanford University Statistics	1-1	1-1	3-25	85%	48-59	83%	91%
2-6	Harvard University Statistics	2-3	2-4	3-31	91%	20-44	50%	100%
2-7	University of Washington-Seattle Campus Statistics	12-34	2-5	1-17	92%	24-46	83%	100%
2-8	University of California-Berkeley Statistics	2-6	2-5	10-42	83%	52-60	83%	100%
2-9	University of Chicago Statistics	4-15	5-11	2-28	94%	18-43	83%	100%
2-9	University of Michigan-Ann Arbor Statistics	3-13	5-13	11-44	86%	13-39	83%	100%
2-11	Cornell University Biometry	5-38	3-15	11-48	89%	1-3	83%	100%
6-20	Pennsylvania State University-Main Campus Statistics	6-23	5-13	6-35	73%	4-21	83%	93%
6-22	Duke University Statistics and Decision Sciences	4-21	5-11	2-26	71%	40-56	83%	89%
7-21	University of North Carolina at Chapel Hill Statistics	7-20	6-15	5-31	73%	39-57	83%	100%
7-25	Columbia University in the City of New York Statistics	8-27	10-22	16-45	83%	6-32	83%	100%
7-24	University of California-Davis Statistics	17-41	12-23	4-31	80%	2-11	83%	100%
7-26	University of Wisconsin-Madison Statistics	4-26	7-19	23-48	81%	7-32	83%	88%
9-27	Carnegie Mellon University Statistics	16-36	11-24	28-52	92%	49-59	83%	100%
9-29	University of California-Los Angeles Statistics	11-29	10-22	11-42	83%	44-58	83%	100%
Rank	Program	Regres Quality	Survey Quality	Student Outcomes	Jobs at Grad	Diversity	Tuition Remis	1st Yr Support
8-31	University of Rochester Statistics	28-55	20-42	1-25	100%	32-53	83%	100%
9-30	Iowa State University Statistics	4-18	9-20	10-40	83%	20-44	50%	96%
9-31	Ohio State University-Main Campus Biostatistics	26-53	18-38	10-45	95%	2-12	83%	100%
9-30	University of Florida Statistics	21-48	17-27	2-29	73%	1-5	83%	100%
10-32	Cornell University Statistics	5-20	29-47	2-26	89%	57-61	83%	100%
11-30	Purdue University-Main Campus Statistics	9-27	10-24	21-48	88%	11-38	83%	75%
11-31	North Carolina State University at Raleigh Statistics	3-14	19-32	32-54	81%	7-33	83%	88%
12-34	University of Georgia Statistics	19-43	21-37	10-44	90%	10-39	83%	100%
12-34	University of Missouri-Columbia Statistics	30-52	29-45	1-9	89%	6-25	83%	100%
15-37	University of Pennsylvania Statistics-Wharton	9-22	12-24	5-34	64%	60-61	83%	100%
17-41	Northwestern University Statistics	25-49	23-41	2-25	87%*	8-34	75%*	100%
16-41	University of New Mexico-Main Campus Statistics	30-56	20-38	3-28	67%	10-33	83%	100%
17-41	University of Illinois at Urbana-Champaign Statistics	20-44	22-40	2-34	67%	5-25	83%	100%
16-42	Boston University Biostatistics (Graduate School)	41-61	8-23	20-51	67%	6-28	83%	100%
16-42	Boston University Biostatistics (School of Public Health)	41-61	8-23	20-51	67%	6-28	83%	100%

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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)
Tuition Remission (Tuition Remis): This variable shows the median percentage of tuition remission reported by program graduates over the period 2000-2004. Your weight = 2. Larger values are better. (Source: SED, 2000–2004)
First Year Support (1st Yr Support): This variable shows the percentage of first-year full-time doctoral students who were given full financial support. In a 2006 questionnaire, programs reported the type of support received by all full-time graduate students in fall 2005. Data for students in each year of enrollment were reported separately. The reported value was calculated as the number of first-year students who received full support (from any source), divided by the total number of first-year students. Your weight = 2. Larger 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.