|Fall - February 1: Priority consideration for admission and funding; April 1: Guaranteed review for admission and consideration for funding, if available. (Applications for admission will continue to be accepted after April 1, when space remains available in the program.)
|Spring – October 1
|Standardized test scores:
|GRE not required.
|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
|Applicants who do not meet minimum English language requirements may be eligible for our full-time Applied English Language program.
|Two (2) recommendations
|Course work in multivariate calculus, matrix theory, and at least two undergraduate statistics courses. The MS program rarely admits students with scores below the following:
|- Verbal GRE: 15th percentile
|- Quantitative GRE: 80th percentile
|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 (https://columbian.gwu.edu/international-graduate-applicants) 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.
Hours: 9:00 am to 5:00 pm, Monday through Friday
General prerequisite: coursework in multivariate calculus, matrix theory, and at least two undergraduate statistics courses.
The following requirements must be fulfilled:
The general requirements stated under Columbian College of Arts and Sciences, Graduate Programs.
30 credits. For non-thesis option—6 credits in required courses and 24 credits in elective courses. For thesis option—12 credits in required courses, including 6 credits in thesis, and 18 credits in elective courses. Students must have departmental approval to pursue the thesis option.
|Mathematical Statistics I
|Mathematical Statistics II
|For students pursuing the thesis option:
|Thesis Research (taken twice for total of 6 credits)
|For non-thesis option: 24 credits in electives, at least 18 of which must be in STAT courses. For thesis option: 18 credits in electives, at least 12 of which must be in STAT courses.
|Elective courses outside statistics may be taken in related fields, such as economics, mathematics, finance, management, computer science, engineering, public health, and data science.