Program 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.

Data Science Theory:

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.

Data Science Ethics:

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.

Communication Skills:

Students will be able to create effective visualizations, write technical reports and make technical presentations that convey insight harvested from data.

Professional Preparation:

Students will have sufficient maturity in data science to work in a professional setting in data science or to enter a graduate program.