The business analytics minor is open to non-business undergraduate students with any major and offers analytics courses from a business decision-making perspective. The goal of these courses is to help students develop data-driven insights into business problems and solutions, along with the skills to communicate these insights effectively across the organization. The courses include both foundational courses, those geared toward more specific data analytics challenges, and those that apply analytical techniques to specific functional areas. Business analytics courses are grounded in relevant theory and principles and explore real-world problems and data. The courses explore analytics techniques and topics such as information visualization, artificial intelligence, machine learning, and data mining. Course tools are selected based on their effectiveness, usefulness, and their widespread use by employers. Depending on the courses chosen, students can develop skills using packages and languages such as R, Python, SQL, and Tableau. Students have the opportunity to develop technical and problem-solving skills that are in high demand by many types of organizations. The business analytics minor can fit well with any majors across colleges and schools.
Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified. Starting Fall 2021 the Business Analytics minor is available to non-business majors only .
Required Course
| Code | Title | Hours |
|---|---|---|
| MISM 2510 | Fundamentals of Information Analytics | 4 |
Electives
| Code | Title | Hours |
|---|---|---|
| Complete three of the following: | 12 | |
| Note: Only one non-MISM course may be used as an elective. | ||
| Data-Driven and Technology-Enabled Value Creation in Digital Economy | ||
| Applied Econometrics | ||
| Computational Methods for Data Analytics | ||
| Financial Data Analytics | ||
| Digital Storytelling and Social Media | ||
| Workforce Analytics | ||
| Data Management in the Enterprise | ||
| Information Visualization for Business | ||
| Data Mining for Business | ||
| Modeling for Business Analytics | ||
| Special Topics in Management Information Systems | ||
| Marketing Analytics | ||
| Supply Chain Analytics and Emerging Technologies | ||
GPA Requirement
2.000 GPA required in the minor