Bachelor of Science in Business - Business Analytics Concentration
Overview
A Concentration in Business Analytics provides undergraduate students with analytical tools and the conceptual framework to understand and apply decision modeling regardless of a dataset's size or complexity.
Analytics is defined as the extensive use of statistical and quantitative models and fact based management to drive decisions and actions. But it is more than just modeling and data manipulation. It is a process of transforming data into actions through analysis and insight, in the context of organizational decision making and problem solving.
Career Options in Business Analytics
Students who complete the concentration in Business Analytics are particularly strong job candidates due to a need for decision makers with strong analytical skills and experience with big data.
Business Analytics students will be able to combine their data manipulation and model building skills with managerial insight. Combining the Business Analytics concentration with other courses in finance or marketing, or in other fields such as engineering, public policy, and international affairs give students a significant edge in job market.
Degree Requirements
The following requirements must be fulfilled for the concentration in business analytics: 15 credits in required and selected courses; at least 9 of these credits must be taken in residence. All concentration courses must be completed with a minimum grade of C-.
Concentrations are only available to GWSB students. See Concentrations under GW School of Business Undergraduate Regulations in this Bulletin for additional information.
Code | Title | Credits |
---|---|---|
Required | ||
DNSC 3403 | Decision Models | |
DNSC 4211 | Programming for Analytics | |
DNSC 4279 | Data Mining | |
Two courses selected from the following: | ||
DNSC 3288 | ||
or DNSC 3288W | Big Data, Predictive Analytics, and Ethics | |
DNSC 4219 | Forecasting Analytics | |
DNSC 4233 | Social Network Analytics | |
DNSC 4280 | Machine Learning | |
DNSC 4281 | Revenue Management Analytics | |
DNSC 4282 | Supply Chain Analytics | |
DNSC 4404 | Essentials of Project Management | |
DNSC 4900 | Special Topics | |
ISTM 4121 | Database Principles and Applications | |
ISTM 4212 | Data Management for Analytics |