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Professors Jumadinova (Chair), Bonham-Carter, Graber, Green, Kapfhammer, Luman

Data Science focuses on the study of integrated principles and methods to analyze complex big data for decision making, prediction, modeling, and data management. Students examine social and human contexts and ethical implications of how data are collected, analyzed, and utilized in diverse areas.

Data Science Learning Outcomes

• Effectively collects, organizes, analyzes and interprets both structured and unstructured datasets from diverse sources.
• Can effectively and ethically use statistical data analysis techniques, modern machine learning algorithms, and state-of-the-art software tools and programming environments to design, build, evaluate, and deploy new predictive models.
• Demonstrates and articulates the value of subject matter expertise in domains that apply data science techniques.
• Can clearly and persuasively communicate the results of data analysis including critical examination and reflection on the ethical implications of such analysis.

Courses

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Programs

• Data Science Major

• Data Science Minor

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