Data Science Learning Outcomes

The change to "Data Science" will be effective as of Fall 2020.

Through collaborations with other students, internships, classroom teaching, and hands-on experience, you'll immerse yourself in the fields of technology, business, and communications and build a comprehensive skill set in Data Science.

This deep set of core competencies in multiple areas—including programming, statistics, data analytics, machine learning, data wrangling, data visualization, communication, business foundations, and ethics—will increase your marketability in the fast-paced Data Science industry. With a working knowledge of these in-demand technical skills, as well as the soft skills employers seek, you'll graduate prepared to apply your data science expertise to a wide range of industries.

By the time you complete the academic and internship requirements for your Data Science degree, you will be able to:

  • Obtain, clean/process and transform data. 
  • Analyze and interpret data using an ethically responsible approach. 
  • Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues. 
  • Apply computing theory, languages and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses. 
  • Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges. 
  • Perform well in a group. 
  • Interpret data findings effectively to any audience, orally, visually and in written formats.