Data Science Minor

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This interdisciplinary minor provides students with a concentration focused on the acquisition, cleaning, analysis, and visualization of data to answer real-world questions. This includes both the technical computational skills needed to handle large amounts of data and the theoretical statistical and mathematical knowledge needed to critically assess a problem and implement the proper methodology in data analysis. This program sits at the intersection of mathematics, statistics, and computer science.

Program Learning Outcomes

Students will:

Think logically and analyze information critically in a mathematical setting
Express data-driven results verbally, working individually and in collaborative groups
Demonstrate competence with programming concepts, including software development techniques and data structures
Apply mathematical and computational techniques to real-world problems involving large, complex data sets
Visualize, present and communicate analytical results

Minor Requirements (24 units)

Grade requirement

All required courses require a minimum grade of C-.