Statistics plays an important role throughout society, providing methodologies for advances in medicine, genetics, and other research arenas, and for making decisions in business and public policy. GW's PhD in statistics program provides advanced training in topics including probability, linear models, time series analysis, Bayesian statistics, inference, reliability, statistics in law and regulatory policy, and more. The degree provides training in theory and applications and is suitable for both full- and part-time students. Most graduate courses are offered in the early evening to accommodate student schedules. 

Nearly all GW statistics PhD graduates have secured positions in the statistics or data science industry, with employers including Amazon, Facebook, and Capital One. During the program, students work closely with faculty on original research in their area of interest. 

To be admitted, applicants typically have a master’s degree in statistics or a related discipline. Students need a strong background in mathematics, including courses in advanced calculus, linear algebra, and mathematical statistics.

This is a STEM designated program.

Visit the program website for additional information.

Admission deadlines:

Fall - January 15 

Spring - October 1

Standardized test scores: 
GRE general test recommended but not required (institutional code 5246). 
The Test of English as a Foreign Language (TOEFL), the academic International English Language Testing System (IELTS), or the PTE Academic is required of all applicants except those who hold a bachelor’s, master’s, or doctoral degree from a college or university in the United States or from an institution located in a country in which English is the official language, provided English was the language of instruction. 
Minimum scores for the  program are:
  • Academic IELTS: an overall band score of 6.0 with no individual score below 5.0; or
  • TOEFL: 550 on paper-based or 80 on Internet-based;  or
  • PTE Academic: 53
Recommendations required:
Two (2) recommendations
Prerequisite requirements:
A bachelor's degree or master’s degree in mathematics, statistics, or related discipline. The main requirement is strong background in mathematics including courses in advanced calculus, linear algebra, and mathematical statistics. Some deficiencies may be made up concurrently in the first year of the program.
Prior academic records:
Transcripts are required from all colleges and universities attended, whether or not credit was earned, the program was completed, or the credit appears as transfer credit on another transcript. Unofficial transcripts from all colleges and universities attended must be uploaded to your online application. Official transcripts are required only of applicants who are offered admission.

If transcripts are in a language other than English, English language translations must be provided. The English translation alone should be uploaded into your application.
Statement of purpose: 
In an essay of 250 – 500 words, state your purpose in undertaking graduate study in your chosen field. Include your academic objectives, research interests, and career plans. Also discuss your related qualifications, including collegiate, professional, and community activities, and any other substantial accomplishments not already mentioned on the application. If you are applying for an assistantship or fellowship, you should also describe any teaching experience you have had.
International applicants only: 
Please review International Applicant Information carefully for details on required documents, earlier deadlines for applicants requiring an I-20 or DS-2019 from GW, and English language requirements.

Supporting documents not submitted online should be mailed to:

Columbian College of Arts and Sciences, Office of Graduate Studies
The George Washington University
801 22nd Street NW, Phillips Hall 107
Washington DC 20052

For additional information about the admissions process visit the Columbian College  of Arts and Sciences Frequently Asked Questions page.

202-994-6210 (phone)

Hours: 9:00 am to 5:00 pm, Monday through Friday


Prerequisite: a master’s degree in statistics or a related discipline. The main requirement is a strong background in mathematics, including courses in advanced calculus, linear algebra, probability and mathematical statistics. Some deficiencies may be made up concurrently during the student’s first year. In some instances, a student may enter the PhD program with a bachelor’s degree.

The following requirements must be fulfilled:

The general requirements stated under Columbian College of Arts and Sciences, Graduate Programs.

The requirements for the Doctor of Philosophy Program

STAT 6201Mathematical Statistics I
STAT 6202Mathematical Statistics II
STAT 6223Bayesian Statistics: Theory and Applications
STAT 8257Probability
STAT 8258Distribution Theory
STAT 8263Advanced Statistical Theory I
STAT 8264Advanced Statistical Theory II
At least two of the following:
STAT 6218Linear Models
STAT 8226Advanced Biostatistical Methods
STAT 8259Advanced Probability
STAT 8262Nonparametric Inference
STAT 8265Multivariate Analysis
STAT 8273Stochastic Processes I
STAT 8274Stochastic Processes II
STAT 8281Advanced Time Series Analysis
A minimum of 21 additional credits as determined by consultation with the departmental doctoral committee
The General Examination, consisting of two parts:
A. A written qualifying examination that must be taken within 24 months from the date of enrollment in the program and is based on:
STAT 6201Mathematical Statistics I
STAT 6202Mathematical Statistics II
STAT 8257Probability
STAT 8263Advanced Statistical Theory I
B. An examination to determine the student’s readiness to carry out the proposed dissertation research
A dissertation demonstrating the candidate’s ability to do original research in one area of probability or statistics.