Business Analytics and Data Science, Minor
The minor in Business Analytics and Data Science offered by the School of Business gives students in any major the additional data analytics skills being demanded by employers in almost every field. The minor allows students to better pursue career opportunities in their respective majors and give them a leg up in the job market.
The minor in Business Analytics and Data Science program consists of four specialization courses (12 credits) and two minor elective courses (6 credits), for a total of 18 credits.
| Code | Title | Credits |
|---|---|---|
| Minor Requirements (12 credits) | ||
| FINC 305 | Introduction to Data Science | 3 |
| FINC 405 | Programming Basics for Business Analytics and Data Science | 3 |
| FINC 430 | Principles of Machine Learning | 3 |
| FINC 403 | Fundamentals of Data Visualization for Business Analytics and Data Sciences | 3 |
| Select two electives from the following: (6 credits) 1 | ||
| FINC 306 | Statistical and Mathematical Foundations for Business Analytics and Data Science | 3 |
| FINC 410 | Introduction to Forecasting Models and Experimental Design for Business Analytics and Data Science | 3 |
| FINC 415 | Basics of Data Collection, Data Warehousing, and Data Cleansing | 3 |
| FINC 495 | Capstone in Data Science | 3 |
| Total Credits | 18 | |
- 1
Students complete two courses (6 credits) from among those listed. Other relevant courses may be proposed as minor electives in consultation with the student’s advisor and subject to approval.
Upon completion of the Minor in Business Analytics and Data Science students will be able to:
- SLO1: Apply statistical analysis and machine learning techniques to build predictive models.
- SLO2: Explain and communicate the findings of the data analysis using visualization techniques and reports
- SLO3: Demonstrate ability to use large and diverse datasets and extract value from them to make data driven business decisions.