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Nov 24, 2024
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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:
at Least One Elective Course from:
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