| 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)
Hours: 9 am to 5 pm, Monday through Friday
Visit the School of Business website for additional admissions information.
The following requirements must be fulfilled: 12 credits, including 9 credits in required courses and 3 credits in elective courses.
| Code | Title | Credits |
|---|---|---|
| Required | ||
| DNSC 6302 | Programming for Analytics I | |
| DNSC 6303 | Programming for Analytics II | |
| DNSC 6311 | Stochastic Foundation: Probability Models | |
| DNSC 6312 | Statistics for Analytics I | |
| DNSC 6314 | Machine Learning I | |
| DNSC 6315 | Machine Learning II | |
| Electives | ||
| A minimum of 3 credits in elective courses selected from the following: | ||
| DNSC 6209 | Forecasting for Analytics | |
| DNSC 6280 | Supply Chain Analytics | |
| DNSC 6320 | Pricing and Revenue Management | |
| DNSC 6321 | Social Network Analytics | |
| DNSC 6323 | Visualization for Analytics | |
| DNSC 6325 | Business Process Simulation | |
| DNSC 6327 | Sports Analytics | |
| DNSC 6330 | Responsible Machine Learning | |
*DNSC 6302 and DNSC 6311 may be waived by examination. If a waiver is granted, the total number of credits required for the certificate is not reduced; the number of credits from the waived course(s) must be made up by taking additional elective courses.