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Student Learning Outcomes

BS in Data Analytics: Student Learning Outcomes

At the conclusion of their Data Analytics B.S. degree program, students will be able to:

  1.  Understand the theory and basis of data analytics (including computing, statistics and mathematics) to be able to apply in the practice of data analytics.
  2.  Identify, locate, evaluate, collect, compile and responsibly (ethically, legally, socially, professionally, and securely) use data and associated materials from multiple sources relevant for Data Analytics
  3.  Customize and utilize data analytics and data management software packages in order to manage and apply exploratory, descriptive and inferential data analytics techniques to complex data sets
  4.  Appropriately define Data problems, formulate questions, develop and design an analysis plan, and interpret the results of these analyses.
  5.  Effectively communicate data analytics techniques and results in a scientifically and technologically informed way to the academic community, business/industry professionals, and the general public in writing, discussion, digital media, and other communication formats.
  6.  Work with a team of students in consultation with a client to apply a full range of Data Analytics techniques drawn from computer science, mathematics and statistics to address a real-world application problem.