Aug 09, 2020  
2020-2021 Catalogue 
    
2020-2021 Catalogue

Data Analytics Minor


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The Data Analytics minor equips students with the analytical practices and technology skills required to interact with complex real-world data.  Data Analytics is evidence-based problem recognition and solving within the context of organizational needs.  The minor is an interdisciplinary area of study designed to prepare students for entry-level jobs in fields that apply Data Analytics and for graduate work in disciplines that utilize Data Analytics.  Students will complete 5 courses to earn a minor in Data Analytics.

Minor requirements include:


  • Full-time degree candidates from any major.
  • A minimum cumulative grade point average of 2.0 is required at the time of the registration for a minor.
  • Successful completion of five courses selected from the required courses. A cumulative grade point average of 2.0 is required in the courses for the minor.
  • Formal registration for the minor should preferably be completed no later than the 2nd semester of the junior year.

Required Courses:


  • CS 111: Computing I (Quantitative Reasoning)
  • One course from: BU121, PY301, MA330, SO212, BI345, CJ200, or other approved statistics course
  • CS345/MA345:  Foundations of Data Science and Analytics * (prerequisites: CS 111 and statistics)
  • CS 370: Database Management

A discipline specific elective predetermined and approved with coordination through the department in which the major is housed** or one course from the following:

  • CS 210:  Introduction to Geographic Information Systems
  • CS 211:  Remote Sensing
  • CS 213:  Data Structures and Algorithms (*Does not apply for CS Majors as a minor elective)
  • MA260:  Problem Solving
  • CS 310:  Advanced Algorithmic Analysis
  • CS 360:  Artificial Intelligence

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