Jan 23, 2022  
Catalog 2021-2022 
    
Catalog 2021-2022

Data Science Minor


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Data Science is an emerging field in high demand across disciplines and in both the private and public sectors.  The Data Science Minor is a cross-disciplinary minor that allows students from across campus to engage with coursework in computational and statistical methods to support and enhance their training in data science within their program.  The Data Science Minor emphasizes:  1) Statistical and Computational Thinking, 2) Algorithms and Sofware Foundations, 3) Data Curation, and 4) Model Building and Assessment.

Required Courses


Please note: Twelve of the units taken to complete a minor (6 of which are upper division) may not be used in fulfillment of other minors, concentrations, or major requirements.

 

Learning Outcomes


Statistical and Computational Thinking

Students apply statistical knowledge and computational skills to formulate problems, plan data collection campaigns, or identify and gather relevant existing data then analyze the data to provide insights while using professional statistical analysis software packages.

Algorithms and Software Foundations

Students employ algorithmic problem-solving skills to real-world problems.  Students leverage existing packages and tools to solve their computational problems.

Data Curation

Students prepare, stucture, and manage data from a variety of source and formats for use with a variety of statistical methods and models and should recognize how the quality of the data and the means of data collection may affect conclusions.

Model Building and Assessment

Students employ informal modeling (such as data visualization, data aggregation, and summarization) and formal statistical and machine learning models while recognizing the strengths and weaknesses of proposed models.
 

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