May 29, 2024  
2022-2023 Undergraduate Catalog 
    
2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]

Data Analytics, Minor


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About the Minor


Data Analytics is a dynamic field in which new approaches, content, and techniques for manipulating and analyzing data are constantly being introduced to answer questions such as “what does social media tell us about mental health?” and “how much will the global temperature increase in ten years?”. Data Analytics uses tools from Computer Science and Statistics to analyze large amounts of raw data to discover useful relationships and to inform decisions. Data Analytics is an important tool for any field that generates and consumes large amounts of data.

 

This interdisciplinary minor on Data Analytics is open to students from all majors, although it is expected that most students will draw from Biology, Business Administration, Computer Science, Math, Psychology, Physical Therapy, and Public Health.

Requirements


24 credits/ six courses

The University policy specifies that a maximum of two courses may double count toward a major and minor.

Core Courses


  • MA 141   Elementary Statistics & MA 242   Intermediate Statistics

OR

MA 342   Mathematical Statistics I & MA 343   Mathematical Statistics II

  • CS 222   Introduction to Data Science with Python (with CS22L Lab)
  • CS 277   Introduction to Data Mining

at Most One Elective Course from:


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