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 - - 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 more information on the admission process, please visit the SEAS Frequently Asked Questions page.

Contact for questions: - 202-994-1802 (phone) - 202-994-1651 (fax)
9:00 – 5:00 pm, Monday through Friday

Credit Requirements

The following requirements must be fulfilled: 33 credits, including 18 credits in required courses and 15 credits in elective courses.

CSCI 6362Probability for Computer Science
or EMSE 6765 Data Analysis for Engineers and Scientists
CSCI 6441Database Management Systems
or EMSE 6586 Data Management Systems for Data Analytics
CSCI 6444Introduction to Big Data and Analytics
EMSE 6574Programming for Analytics
SEAS 6401Data Analytics Foundations and Practicum
SEAS 6402Data 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 in the engineering management and systems engineering track, effectively constituting a concentration in one of the two tracks. With the advisor’s approval, the remaining elective course may be taken outside of the selected track and may include courses outside SEAS.
Computer science track
If the computer science track is selected, students must take CSCI 6212 and CSCI 6364 and one elective course from the list below.
CSCI 6212Design and Analysis of Algorithms
CSCI 6364Machine Learning
CSCI 6312Graph Theory and Applications
CSCI 6341Continuous Algorithms
CSCI 6342Computational Linear Algebra and Applications
CSCI 6351Data Compression
CSCI 6365Advanced Machine Learning
CSCI 6421Distributed and Cluster Computing
CSCI 6442Database Systems II
CSCI 6443Data Mining
CSCI 6451Information Retrieval Systems
CSCI 6515Natural Language Understanding
CSCI 6527Introduction to Computer Vision
Engineering management and systems engineering track
If the engineering management and systems engineering track is selected, students must take EMSE 6575 and EMSE 6577and one elective course from the list below.
EMSE 6575Applied Machine Learning for Analytics
EMSE 6577Data-Driven Policy
EMSE 6020Decision Making with Uncertainty
EMSE 6035Marketing Analytics for Design Decisions
EMSE 6510Decision Support Systems and Models
EMSE 6579Applied Data Mining in Engineering Management
EMSE 6740Systems Thinking and Policy Modeling I
EMSE 6760Discrete Systems Simulation
EMSE 6770Techniques of Risk Analysis and Management

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.