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.

Required
DNSC 3403Decision Models
DNSC 4211Programming for Analytics
DNSC 4279Data Mining
Two courses selected from the following:
DNSC 3288
or DNSC 3288W Big Data, Predictive Analytics, and Ethics
DNSC 4219Forecasting Analytics
DNSC 4233Social Network Analytics
DNSC 4280Machine Learning
DNSC 4281Revenue Management Analytics
DNSC 4282Supply Chain Analytics
DNSC 4404Essentials of Project Management
DNSC 4900Special Topics
ISTM 4121Database Principles and Applications
ISTM 4212Data Management for Analytics