Admission deadline: Fall and Summer
Round 1 1/15
Round 2 4/1
Round 3 5/15
Standardized test scores: Either the Graduate Admissions Management Test (GMAT – institution code QK4-4F-40) or the Graduate Records Exam (GRE – institution code 5246) is required.
Recommendations required: Two (2) recommendations
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 should be uploaded to your online application. Official transcripts are required only of applicants who are offered admission.
Statement of purpose: In no more than 500 words, describe how the Master of Science in Business Analytics program fits into your professional life and career objectives.
Additional requirements: A current resumé is required.
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, and English language requirements.
PLEASE NOTE that the minimum English language test scores required by this program are:
- Academic IETLS: an overall band score of 7.0 with no individual band score below 6.0; or
- TOEFL: 600 on paper-based, or 100 on Internet-based; or
- Academic PTE: 68

Supporting documents not submitted online should be mailed to:
The GW School of Business
Attn: Graduate Admissions
2201 G Street, NW, Suite 550
Washington, DC 20052

Contact for questions:
business@gwu.edu ~ 202-994-1212 (phone)
9:00 am – 5:00 pm, Monday through Friday

The following requirements must be fulfilled: 30 credits, including 21 credits in required courses and 9 credits in elective courses.

Required
DNSC 6301Analytics Edge and Data Ethics
DNSC 6302Programming for Analytics I
DNSC 6303Programming for Analytics II
DNSC 6305Data Management for Analytics
DNSC 6306Decision Models
DNSC 6307Optimization I
DNSC 6311Stochastic Foundation: Probability Models
DNSC 6312Statistics for Analytics I
DNSC 6313Statistics for Analytics II
DNSC 6314Machine Learning I
DNSC 6315Machine Learning II
DNSC 6317Business Analytics Practicum
Electives
9 credits in elective courses selected from the following:
DNSC 6278Big Data Analytics
DNSC 6280Supply Chain Analytics
DNSC 6290Special Topics
DNSC 6308Optimization II
DNSC 6319Time Series Forecasting for Analytics
DNSC 6320Pricing and Revenue Management
DNSC 6321Social Network Analytics
DNSC 6323Visualization for Analytics
DNSC 6325Business Process Simulation
DNSC 6327Sports Analytics
DNSC 6330Responsible Machine Learning