Data Analytics Learning Outcomes

Through collaborations with other students, internships, classroom teaching and hands-on experience, you'll immerse yourself in across the fields of technology, business and communications to provide the most comprehensive skills .

This deep set of core competencies in multiple areas will increase your marketability in this fast-paced industry, including programming, statistics, machine learning, data munging, data visualization, communication, business foundations and ethics. 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 analytics expertise to a wide range of industries.

By the time you complete the academic and internship requirements for your Data Analytics 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 answer business-related questions. 
  • Perform well in a group. 
  • Interpret data findings effectively to any audience, orally, visually and in written formats.