The Data Analytics minor at St. Scholastica enhances expertise in the student's major to make informed decisions based on data and is designed to supplement any major. Students in this minor conduct qualitative analysis and apply evaluative and predictive models to produce actionable information. In addition to developing skills, students learn to present information in an effective and meaningful way.
Depending on the students' major, graduates completing this minor are prepared for positions such as a data analyst, business analyst, financial analyst, market analyst, research analyst, or any other position requiring the ability to work with data to make better decisions.
Department Chair: Brandon Olson, Ph.D., PMP
Data Analytics minors must complete the following required courses, one statistics course elective, and one analysis course elective (24 credits).
Required courses: CIS 1001 Computer Science Principles, CIS 3107 Database Modeling, CIS 3115 Machine Learning. ART Data Visualization. Statistics electives: FIN Business Statistics or MTH 4411 Probability and Statistics I or PSY 3331 Statistics. Analysis electives: MGT 3130 Quantitative Business Analysis or HIM 4415 Health Data Analytics.