Graduate Certificate in Business Analytics

The Graduate Certificate in Business Analytics offers foundational courses designed to train professionals in harnessing the power of “Big Data.” At the unique intersection of federal government agencies, Fortune 500 businesses, and advanced tech-savvy companies, GW School of Business is situated in a true epicenter of data analytics. Through descriptive, predictive and prescriptive methodologies, students will learn how to make data-driven decisions that are critical in today’s business and economic environment.

Students must complete all of the required and elective credits from the course options below and are expected to maintain a cumulative grade point average of 3.0 or above. Courses completed as a non-degree student are not eligible for application towards the certificate requirements.


Certificate Requirements

The following requirements must be fulfilled: 12 credits total, including 10.5 credits in required courses and 1.5 credits in an elective course.

DNSC 6302Programming for Analytics I
DNSC 6303Programming for Analytics II
DNSC 6311Stochastic Foundation: Probability Models
DNSC 6312Statistics for Analytics I
DNSC 6314Machine Learning I
DNSC 6315Machine Learning II
A minimum of 3 credits from the following courses*:
DNSC 6209Forecasting for Analytics
DNSC 6233Social Network Analysis for Managers
DNSC 6278Big Data Analytics
DNSC 6280Supply Chain Analytics
DNSC 6320Pricing and Revenue Management
DNSC 6290Special Topics
DNSC 6321Social Network Analytics
DNSC 6323Visualization for Analytics
DNSC 6325Business Process Simulation
DNSC 6327Sports Analytics
DNSC 6330Responsible Machine Learning

*DNSC 6302 and DNSC 6311 may be waived by examination. If a waiver is granted, the total number credits required for the degree is not reduced and the student must make up the credits from the waived course(s) by taking additional elective credits.


Please note: Course offerings are dependent on a number of factors, and course availability may change. Students will be notified of any changes by their academic advisor before the start of the semester.