Data Science Minor
Learn to Make Data-Guided Decisions
The Interdisciplinary Data Science Minor is intended to offer students a path to gain real-world skills in handling and understanding data. This minor encompasses three primary areas: (1) Hacking Skills – computer science, programming skills, algorithm development, and database management; (2) Math & Statistics Knowledge – numeracy, data in context, probability distributions, sampling, and experimental design; and (3) Substantive Expertise – subject-matter knowledge in an area outside of computer science and statistics, hypothesis/question development, and research methods.
Degree Outcomes
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Computer programming and algorithm development
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Data structures
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Obtaining, cleaning, and manipulating large data sets
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Exploring data using the tools of statistics
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Data visualization and graphics
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Reproducible research
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Probability distributions
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Estimation
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Research methods
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Hypothesis generation and testing
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Application of subject matter knowledge to data-based problems
Degree Requirements
Career & Salary
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Single Degree
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