Business analytics is an information-driven discipline that combines descriptive analysis (gathering, organizing and describing information), predictive analysis (forecasting) and prescriptive analysis (suggesting a course of action).
Our business analytics program provides you with the skills necessary to thrive in today's data-driven world and create tremendous value for your organization.
What will I study?
View courses Business analytics sample 4 year plan and checklist
39 hours from our experiential business core plus the following requirements:
- CST 170 Procedural Programming
- MAT 215/230 Fundamentals and Special Applications of Calculus
- MAT 322 Statistical Inference and Data Analysis I
- MIS 310 Database Management Systems
- MIS 330 Project Management
- BUS423 Business Analytics Capstone: Data Mining for Business Analytics
Two courses from the list below:
- BUS 344 Market Research
- BUS 350 Operations Management
- CST 270 Object-Oriented Programming
- MAT 323 Statistical Inference and Data Analysis II
- MIS 320 Business Decision Making
Career opportunities and employment outlook
The amount of information produced by today's society is vast and a valuable resource for organizations with the ability to manage it. Students earning degrees in business analytics work in a variety of areas within the organization. They acquire the skills to transform information on customers, suppliers, employees, job applicants, product quality and competitors, into value-enhancing strategies. Business analytics majors also serve as business translators within an organization, working with decision-makers to interpret the technical language of data scientists and programmers in terms of firm value.
In an article titled The Age of Analytics: Competing in a Data-Driven World, the McKinsey Global Institute notes a talent scarcity for business translators. They forecast two to four million job openings over the next few years for business translators, while the U.S. Department of Labor projects a growth rate of 25 percent for all data-related jobs by 2018.