Data Science BS
Program Purpose
Learning Outcomes
Data Science Practice
Students will be able to acquire, clean, wrangle, store, analyze and visualize a wide variety of data types using a wide variety of data science tools; they will be able to apply their knowledge of tools to solve novel problems, and understand the benefits and limitations of new tools.
Students will demonstrate the ability to analyze data by appropriately visualizing, fitting, assessing, and interpreting a variety of models, and will understand the limits and possibilities of conclusions drawn from data.
Students will be able to mitigate the effects of biased or unreliable data, will be able to avoid the dangers of overreliance on unreliable data, and will be an ethical and positive voice arguing for fairness and transparency in high-impact applications of data science.
Students will be able to create effective visualizations, write technical reports and make technical presentations that convey insight harvested from data.
This program is accessible to everyone, including women, minorities, and those new to STEM. Several strategies to support students from different backgrounds include broad advertisement, individual advisement, representation of professors and advisors from diverse backgrounds, working closely with the Office of Belonging, and belonging training for faculty and advisors.