The Washington State University Vancouver Catalog

Program in Data Analytics

The online catalog includes the most recent changes to courses and degree requirements that have been approved by the Faculty Senate, including changes that are not yet effective.

Program in Data Analytics

cas.vancouver.wsu.edu/data-analytics
Science & Engineering (VSCI) 130
360-546-9620

Program Leader and Teaching Professor (Career) L. Rosio Sotomayor

cas.vancouver.wsu.edu/data-analytics
Science & Engineering (VSCI) 130
360-546-9620

Data analytics is the application of powerful new methods—drawn from computer science, mathematics and statistics, and domain sciences—to collect, curate, analyze, discover and communicate knowledge from “big data.”

There has been an explosion of demand for skilled data analysts who can communicate, solve problems, and work effectively in teams. Data analytics tools and techniques are used by many different industries to create, manage, explore, and analyze large, complex datasets in order to evaluate past performance, predict future trends, and make better decisions.

Our students are trained in advanced statistical, data, and computer science skills as well as concentrated domain knowledge. This combination enables WSU graduates to effectively work in teams and easily communicate with colleagues and managers to solve problems. Students are able to specialize in Business Analytics, Actuarial Analytics, or Data Visualization.

Student Learning Outcomes

  • Demonstrate competency in data literacy—dynamic, structured, unstructured, numerical, and text data.
  • Demonstrate competency with quantitative reasoning to make decisions in a logical, mathematical manner.
  • Demonstrate competency with data wrangling and exploratory data analysis.
  • Demonstrate and articulate an understanding of domain literacy and nuances of data.
  • Utilize an interdisciplinary perspective in order to understand the elements of data analytics.
  • Effectively communicate through writing and speech the story of the data from start to finish. 

 



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