Business Analytics Co-Major (STEM)
The Business Analytics Co-Major is an applied program which complements existing business majors and cannot be taken as a stand-alone major. The focus is on the ability to communicate the business analysis of data that spans all disciplines, without the heavy scientific component. There is no program-specific prerequisite requirement as Business Statistics is a course in the business core required of all majors.
Three separate but related areas emerged in the last decade: data science, big data and data analytics. Our business analytics program intersects with elements of all three areas, emphasizing business applications and business skills but without the deep programming and machine learning skills that are required of data science.
Business analytics complements any major.
Business Analytics Required Courses
In this course, students learn one or more popular business analytics software tools (e.g., Excel, SAS, R, Python, and/or Tableau), along with the ability to apply those tools in a business setting using a variety of problem-solving methods. Those methods include descriptive analytics (use of both visual and numerical methods of describing data), data extraction, data transformation, and data analysis with light programming. Lecture. Offered fall only.
Curriculum and Course Descriptions
Research shows that business intelligence (BI) technology is evolving and that organizations on the cutting edge of these new trends can gain significant competitive advantage. Business intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data (both internal and external to the organization) into meaningful and useful information. Simply put, the primary objective of BI is to support better business decision-making by exploiting relevant and timely information. Thus, BI systems can rightly be called a decision support systems designed to infuse more effective strategic, tactical, and operational insight into the decision-making process.