BBA in Business Analytics

BBA in Business Analytics prepares students to become the leaders of data-driven decision-making in organizations. This STEM-designated degree program provides students with an understanding of business fundamentals and the in-depth knowledge of statistical analysis and modeling methods, tools, and techniques to help convert data into actionable insights. Our graduates pursue careers in data science, data analytics, data mining, and financial analytics at Fortune 500 companies, medium and small business, and nonprofit organizations. This degree qualifies an F-1 student for a STEM OPT extension.

You Learn

As a part of BBA in Business Analytics, students learn:
  • Statistical data analysis
  • Data visualization
  • Data mining
  • Data warehousing
  • Data modeling
  • Data management
  • Fundamentals of data analytics and model building tools and technologies
  • Fundamentals of economics, accounting, finance, marketing, and management
Austin Tidmore, BBA Decision Science '08
Practice Director for Data and Analytics,
APEX Systems

After receiving his degree, Austin worked across several industries and companies as a consultant, helping companies make sense out of their vast data landscapes. He has continually stayed on top of trends in his field, leveraging Business Intelligence, the Cloud and Machine Learning to create solutions that drive real business value.

“My BBA in Analytics from the University of North Texas catalyzed a successful career in data and analytics by giving me the tools needed to extract insight from data, communicate complex topics effectively and thrive in a world of ever-changing technology.”

You Contribute

BBA in Business Analytics graduates get jobs such as:
  • Business analyst
  • Data analyst
  • Supply Chain analyst
  • Business intelligence developer/modeler
  • Data mining professional
  • Data scientist
  • Market research analyst
  • Operations research analyst
  • Production planner/scheduler

You Lead

Graduates continue on to leadership roles such as:
  • Chief data scientist
  • Director of analytics
  • Chief Information Officer
  • Business Intelligence (BI) Competency Center Director