Experiential Requirement

The experiential learning component provides students with the opportunity to apply their data-science skills in their concentration, engage in research that uses data science, teach data science as UTAs, or undertake an internship that has a data-science component.

Options for the experiential learning component include:

  • Internship or summer research: Undertake a summer research experience or an internship that includes a data science component.
  • Independent study course: Complete a one-semester independent study for credit that focuses on research in data science or applies data-science techniques to a problem in the student’s concentration (e.g. as part of the student’s honors thesis, though this is not required).​
  • Teaching experience: Engage in a reflective teaching experience in a course that has a significant data science component. Options are
  • Serve as an undergraduate teaching assistant or as a UTRA recipient to help create new content, introduce new data sets into a course, or add online modules that connects to additional domain disciplines;

Requirements:

  • Students are responsible for identifying an appropriate experiential learning  component.
  • Students should normally complete the experiential learning component during the summer following their junior year or during their senior year.The experiential learning component must be approved in advance by the student’s certificate advisor. Students will be asked to prepare a detailed proposal that explains how the experiential component draws on data science and how it relates to their concentration.
  • Students who choose to pursue a no-credit option for the experiential learning component requirement must write and submit a 10-15 page paper during their senior year that reflects on the nature of the work done, its relationship to the learning goals of the data fluency certificate program, and its relevance for the student’s concentration. The final reflection should address the following aspects:
    • Describe how the experiential component you undertook is situated in a larger process of producing or disseminating knowledge, how it has drawn on your certificate coursework, and how it relates to your concentration.
    • How would you define the primary objectives of the project that you were involved with? Did some of these objectives compete with each other, and if so how? Describe the data-science aspects of your project and the potential impact your work has on individuals or society at large.
  • The report should be submitted online as an uploaded file under the heading "Non-credit Capstone Option" in the Data Fluency Certificate declaration on ASK.

 

Component Location