Dr. Sean Reardon

Professor

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Biography

Sean Reardon is a Professor at Stanford University and a Senior Fellow at the Stanford Institute for Economic Policy Research. His research focuses on the causes, patterns, trends, and consequences of social and educational inequality. He specifically studies issues related to residential school segregation, racial and ethnic disparities, and socioeconomic differences in academic achievement and educational success. He also develops methodologies for measuring social and educational inequality, which include methods for assessing segregation and achievement gaps. His extensive academic background includes a tenure as an Assistant Professor at Pennsylvania State University before joining Stanford in 2004. Reardon has received numerous honors, including election to the American Academy of Arts and Sciences and the National Academy of Education. He has actively participated in professional organizations and has contributed to the Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis for over a decade.

Research Interests

Experience

Professor

2004-01-01 — Present

Stanford University • Stanford, CA

Serving as a Professor in the Graduate School of Education.

Assistant Professor

1999-01-01 — 2004-01-01

Pennsylvania State University • University Park, PA

Held the role of Assistant Professor in the Department of Education.

Awards

#

Elected Member

#

Elected Member

Courses

EDUC 339 EDUC 303 SOC 303 EDUC 483 SOC 373 SOC 291 SOC 290 SOC 292 EDUC 480 EDUC 180 EDUC 490 EDUC 190 SOC 391 SOC 390 EDUC 140 EDUC 185 EDUC 470 URBANST 199 EDUC 380

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.