Learning Goals & Outcomes

Bachelor of Arts in Data Science

  1. Data Collection: Students will be able to collect, aggregate, organize, clean and critique data. 

  2. Model Selection: Students will be able to apply the mathematical models and analysis techniques that are appropriate for a dataset. Using current data science technology students will appropriately apply those models and techniques across a wide array of real-world contexts and disciplines.

  3. Analyze and Interpret: Students will be able to analyze outcomes of statistical tests and mathematical models. They should be able to evaluate the assumptions that underlie those tests/models and find alternative strategies as appropriate. Results should be viewed from multiple lenses and interpretations. 

  4. Communicate: Students will be able to effectively communicate both orally and in writing the nuance and complexity of data driven analyses Through appropriate and effective text and data visualizations students will communicate, both orally and in writing, all aspects of data analysis at a level understandable to technical and non-technical audiences. 

Updated: July 2026

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