May 17, 2026  
2026-2027 Catalog 
    
2026-2027 Catalog

Data Analytics, B.A.S./B.S.


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Professors: Becka Morgan, Matthew Nabity, Thaddeus Shannon
 

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, presents it in an effective format, and explicates it with consistently high quality.
  3. Collect, analyze and assess evidence to reach informed conclusions and judgments.

Core Courses


Total Credits: 68


Note


Data Analytics students must have a grade of C or better in courses that are used to satisfy the major requirements. Students must also have a C or better in all listed prerequisite courses unless waived by the course instructor and the computer science division chair.

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