Sep 28, 2024  
2024-2025 Catalog 
    
2024-2025 Catalog

Data Analytics Minor


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Professors: Cheryl Beaver, Scott Beaver, Breeann Flesch, Jie Liu, Becka Morgan, Scot Morse, Matthew Nabity, Thaddeus Shannon
Associate professors: Matthew Ciancetta, Ben Coté, Leanne Merrill
Assistant professor: Alexandria LeClerc

 

Mission

The Data Analytics program prepares students to thrive in the constantly evolving field of working with big data. The field is interdisciplinary by nature and is built on a foundation of Mathematics, Computer Science, Information Systems and Data Analytics courses. This program emphasizes the applied practice of data analytics techniques for solving problems in the real world.

Learning Outcomes

  1. Use relevant technology for the analysis of large, complex, or messy data sets to design, implement, and evaluate analytics-based solutions.
  2. Use quantitative information in connection with the argument or purpose of the work, present it in an effective format, and explicate it with consistently high quality.
  3. Collect, analyze and assess evidence to reach informed conclusions and judgments.

Elective Credits: 4


One upper-division CS, MTH, DATA or IS elective planned with the help of a minor advisor 

Total Credits: 27-28


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