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.

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

Required
DNSC 6203Statistics for Analytics I *
DNSC 6206Stochastic Foundation: Probability Models *
DNSC 6211Programming for Analytics
DNSC 6279Data Mining
Electives
A minimum of 3 credits from the following courses*:
DNSC 6209Forecasting for Analytics
DNSC 6214Pricing and Revenue Management
DNSC 6215Social Network Analytics
DNSC 6225Business Process Simulation
DNSC 6233Social Network Analysis for Managers
DNSC 6251Optimization Models for Decision Making
DNSC 6252Risk Analysis for Decision Making
DNSC 6278Big Data Analytics
DNSC 6280Supply Chain Analytics
DNSC 6403Visualization for Analytics
DNSC 6404Sports Analytics
DNSC 6290Special Topics (Digital Analytics)
DNSC 6290Special Topics (Responsible Machine Learning)

*DNSC 6203 and DNSC 6206 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.