BUA: Business Analytics
How to Read Course Descriptions
BUA 330. Automation of Data Workflows and Analytics. 3 Credits.
In today's data-driven business environment, the ability to efficiently prepare and analyze data is a critical asset. This course is designed to equip business students with essential expertise in business analysis using low-code and no-code platforms. By the end of the course, students will be able to automate data preparation and conduct comprehensive data analysis, allowing them to streamline operations and uncover valuable business insights. These competencies are essential for driving efficiency and innovation in today’s competitive business landscape.
BUA 330 Prerequisite: Successful completion of ECO 251, MAT 121, or GEO 326; and minimum 2.50 cumulative GPA.
Distance education offering may be available.
BUA 400. Senior Seminar in Business Analytics. 3 Credits.
This business analytics capstone course offers senior majors an extensive overview of the most current trends, contemporary issues, and best practices in the data science field. Students will gain an in-depth understanding of these topics and apply their analytical abilities to work on a capstone project. Upon completion, students will have a comprehensive understanding of business analytics and be prepared to tackle the challenges of the data science industry.
BUA 400 Prerequisite: Successful completion of ECO 362 or FIN 385; and a minimum 2.50 cumulative GPA.
Gen Ed Attribute: Speaking Emphasis, Writing Emphasis (select both)
Distance education offering may be available.
BUA 480. Business Analytics Internship. 2-6 Credits.
This business analytics internship course is designed to enhance the student's educational experience by providing substantive work experience in business analytics.
Repeatable for credit.
