Data Analytics - Minor

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Jon M. Huntsman School of Business

Department of Data Analytics and Information Systems

Modern demand for college graduates with data analytics knowledge has exploded. Undergraduates from any background or major will benefit from learning basic programming, database, visualization, and analysis skills in the Data Analytics minor that will significantly enhance their preparation for the job market. Instructors in this minor have extensive real-world professional backgrounds to provide students with practical hands-on experience. Students will learn how to use the analytics tools employed by today’s companies and organizations.

This minor requires 15 total credits, with 12 required credits and 3 elective credits.

Required Courses (12 credits)

Complete the following:

DATA 3300 - Introduction to Modern Data Analytics (QI) 3 credit(s)
DATA 3330 - Database Management 3 credit(s)
DATA 3400 - Data Visualization with Tableau (CI) 3 credit(s)
DATA 3500 - Introduction to Python Programming 3 credit(s)

Elective (3 credits)

Choose one elective:

DATA 4330 - Advanced Database and Database Analytics 3 credit(s)
DATA 5400 - Visual Data Analytics 3 credit(s)
DATA 5480 - Data Mining 3 credit(s)
DATA 5500 - Advanced Python Programming for Analytics 3 credit(s)
DATA 5600 - Introduction to Regression and Machine Learning for Analytics 3 credit(s)
DATA 5610 - Advanced Machine Learning for Analytics 3 credit(s)