Business Analytics (BBA)
The Business Analytics major prepares students to be data-driven problem solvers and decision makers in an increasingly digital world. Massive datasets exist in firms and other repositories; meaningful, extractable insights exist within them. Students who study Business Analytics will learn how to conceive of the right questions to ask as well as the correct techniques to deploy to form a coherent story based on the data. Students will use cutting-edge tools and techniques to execute their research plans. The curriculum includes coursework on: data management, data mining, predictive analytics, machine learning, visualization, unstructured data, text mining, and other analytic techniques. Students with these skills will be in high demand in all disciplines, including HR, marketing, finance, accounting, IT, and consulting, as well as across a wide variety of firms.
| Code | Title | Hours |
|---|---|---|
| BAN Required Courses | 13.5 | |
| Conveying Visual Data Insights | ||
| Predictive Analytics | ||
| Data Management | ||
| Simulation and Optimization | ||
| Data Analysis with Python | ||
| Unstructured Data Analytics | ||
| Machine Learning | ||
| Complete 7.5 additional credits from the following: | 7.5 | |
| Data Wrangling | ||
| Digital Transformation | ||
| Customer Engagement Analytics | ||
| Data Acquisition | ||
| Ethics of Data Analytics | ||
| Auditing AI: An Introduction | ||
| Sports Analytics | ||
| Human Performance Analytics | ||
| Survey of Software Engineering with Python | ||
| Society and Networks | ||
| Urban Analytics | ||
| Pricing Analytics | ||
| Cloud Computing | ||
| Analytics Capstone Project | ||
| Early Bridges to Data Science | ||
| Designing for Human-Centered Artificial Intelligence | ||
| Human-centered Analytics: Design, Measurement, and Analysis | ||
| Total Hours | 21 | |