| Admission deadlines: | Fall - January 15 |
| Spring – September 1 | |
| Standardized test scores: | 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: |
| - Academic IELTS: an overall band score of 7.0 with no individual score below 6.0; | |
| - TOEFL: applicants must have 600 on paper-based; or 100 on Internet-based; or | |
| - PTE Academic: applicants a score of 68. | |
| Recommendations required: | Two (2) recommendations required for M.S. applicants. If possible, one recommendation should be from your advisor at the institution from which you earned your highest degree. |
| 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 academic records are in a language other than English, a copy in the original language and an English language translation must be uploaded. Transcript evaluations should not be uploaded. Applicants who have earned a degree from an Indian university are required to submit individual semester marksheets. | |
| Statement of purpose: | In an essay of 250 to 500 words, state your purpose in undertaking graduate study at The George Washington University; describe your academic objectives, research interests, and career plans; and discuss your related qualifications, including collegiate, professional, and community activities, and any other substantial accomplishments not already mentioned. |
| Additional requirements: | Bachelor's degree with a GPA of at least 3.0 on a 4.0 scale for the last 60 hours of coursework; two courses in mathematics beyond pre-calculus; one year of science with laboratory; courses in computer science using a structured language, discrete structures, data structures, and computer architecture. |
| International applicants only: | Please follow this link - https://graduate.admissions.gwu.edu/international-student-application-requirements - to review the International Applicant Information carefully for details on required documents, earlier deadlines for applicants requiring an I-20 or DS-2019 from GW. |
For additional information about the admissions process visit the SEAS Admissions Frequently Asked Questions page.
Contact for questions:
202-994-1802 (phone)
202-994-1651 (fax)
Hours: 9:00 am to 5:00 pm, Monday through Friday
The following requirements must be fulfilled: 30 credits, including 15 credits in required courses and 15 credits in required and elective courses in one track.
| Code | Title | Credits |
|---|---|---|
| Required | ||
| EMSE 6765 | Data Analysis for Engineers and Scientists | |
| or CSCI 6362 | Probability for Computer Science | |
| CSCI 6444 | Introduction to Big Data and Analytics | |
| EMSE 6586 | Data Management Systems for Data Analytics | |
| or CSCI 6441 | Database Management Systems | |
| EMSE 6574 | Programming for Analytics | |
| SEAS 6402 | Data Analytics Capstone | |
| Additional coursework | ||
| Five additional courses are required. At least three of these courses (two required and one elective) must be in either the computer science track or the engineering management and systems engineering track, effectively constituting a concentration in one of the two tracks. With the advisor’s approval, the two remaining elective courses may be taken outside the selected track and may include courses outside SEAS. | ||
| Computer science track | ||
| Required | ||
| CSCI 6212 | Design and Analysis of Algorithms | |
| CSCI 6364 | Machine Learning | |
| Electives | ||
| One elective CSCI course. | ||
| Two additional elective courses, which may be taken outside the track and may include courses outside of SEAS, with the advisor's approval. | ||
| Engineering management and systems engineering track | ||
| Required | ||
| EMSE 6575 | Applied Machine Learning for Analytics | |
| EMSE 6577 | Data-Driven Policy | |
| Electives | ||
| One elective EMSE course. | ||
| Two additional elective courses, which may be taken outside the track and may include courses outside of SEAS, with the advisor's approval. | ||
Graduation and Scholarship Requirements
Students are responsible for knowing the university’s minimum GPA requirement for graduation and scholarships. Please visit the Graduation and Scholarship Requirements section on this site to read the requirements.
Students should contact the department for additional information and requirements.
Program Restrictions
Normally, only 6000 level courses (or higher) may be counted toward the requirements for the graduate degree.