This workbook presents select graduate program statistics to support annual Graduate Research Scholar Community reports. More information on the GRS Fellowships and Communities can be found at https://kb.wisc.edu/grad/33338.

Separate dashboards in the workbook display aggregate data on the demographic characteristics of applicants and enrolled students, as well as providing data related to funding, time-to-degree, and completion rates.

Filter controls apply to each dashboard individually and should be reapplied when changing dashboards. Each dashboard allows for comparison between the program and the larger GRS community to provide additional context to the reported numbers.

This data visualization provides information about the financial support of graduate students at UW-Madison, including the percentage of fully funded students, their funding appointment types, and average monthly stipend levels. The data visualization utilizes a Universal Program filter.

This data visualization provides information on the early, mid, and late career outcomes of UW-Madison doctoral program alumni using a Universal Program filter. Reported data include employment status, job sector and location, and jobs in academia.

This data visualization reports summary information on UW-Madison graduate program degrees, time-to-degree, completion rate, retention rate, and completion over time for the past four three year cohorts of Master's and Doctoral students. It includes breakdown by sex, citizenship status, and minority status, as well as filtering by degree level, division, school/college, plan, named option, and academic year/cohort. 

This data visualization reports summary information on UW-Madison graduate program degree and completion metrics, as well as peer comparison data from AAU peers for the same metrics. Metrics include Time-to-Degree, Completion rate, and Retention rate.

This data visualization reports summary information on UW-Madison graduate program degrees, time-to-degree, completion rate, retention rate, and completion over time for the past four three year cohorts of Master's and Doctoral students. It includes breakdown by sex, citizenship status, and minority status, as well as filtering by degree level, division, school/college, plan, named option, and academic year/cohort. The data visualization utilizes a Universal Program filter.

This data visualization reports student metrics over the past ten years for degree programs in the graduate career. It provides information on student admissions, enrollment, funding, degrees, program completion, and career outcomes.