Through an exponential growth of data and the development of user-friendly software tools, data analytics provides accountants the opportunity to produce higher quality information for making more informed decisions. The master of accountancy in accounting analytics program provides students with the tools they need for a successful career in the world’s leading accounting and consulting firms, government agencies, and a broad range of nonprofit and for-profit organizations. GW's location in Washington, DC, combined with faculty who are subject matter experts in their fields, maximizes the academic experience, leaving program graduates well-positioned for professional success.
An undergraduate degree in accountancy or business is not required.
This is a STEM-designated program.
Visit the program website for additional information.
Visit the School of Business website for admissions information.
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
The following requirements must be fulfilled: 30 credits in required courses.
Code | Title | Credits |
---|---|---|
Prerequisite courses | ||
ACCY 2002 | Introductory Managerial Accounting | |
ACCY 6101 | Financial Accounting | |
or ACCY 2001 | Introduction to Financial Accounting | |
MBAD 6235 | Finance | |
MBAD 6242 | Microeconomics for the World Economy | |
STAT 1051 | Introduction to Business and Economic Statistics | |
Required | ||
ACCY 6104 | Intermediate Accounting I | |
ACCY 6105 | Intermediate Accounting II | |
ACCY 6201 | Accounting for Internal Decision Making | |
ACCY 6202 | Advanced Strategic Cost Management | |
ACCY 6301 | Contemporary Auditing Theory | |
ACCY 6501 | Accounting Information Systems and Electronic Data Processing | |
ACCY 6521 | Data Analytics for Accounting | |
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 | |
DNSC 6319 | Time Series Forecasting for Analytics |
Students who intend to take the C.P.A. examination should be aware that the coursework required for admission to the examination varies from state to state. Students are advised to consult the Board of Accountancy for the state in which they plan to take the examination.
In addition, students must fulfill preparatory courses in financial accounting, managerial accounting, micro- or macroeconomics, and statistics.
Preparatory courses may be waived without substitution for other coursework. Required classes, except for ACCY 6201 and ACCY 6202, may be waived with substitution for other coursework for students who:
- Have already completed these courses with a minimum grade of B-
- Have taken these courses at an AACSB - accredited institution
- Have taken these courses within five years prior to the first semester of enrollment into the program
Students should consult with the advisor concerning course substitution.