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Data Analytics, Tools, and Dashboards

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The resources on this page may require permission and the use of the UMBC VPN to access. See the FAQ on getting connected for more information.

You will need to Request Access before using any of these tools. This page is under active development and we strive to continue to improve, please contact Bob Carpenter at with any questions or ideas.

Resources that support online instruction and the return to campus

Retriever Return Dashboard (Development Preview)

Screenshot of the Retriever Return Dashboard

This tool provides information needed to assess our ability to provide a safe environment to faculty, staff, and students as part of our Fall 2020 reopening of campus. It contains information on an individual’s completion of training, the frequency of individuals’ symptom reporting, and individuals (faculty, staff, and students) approved to be present on campus. The tool allows filtering by division and department (academic and administrative). This is not a public-facing tool and access is very limited


Curated REX Reports for Faculty and Advisors

REX Homepage

The REX page now provides reports curated for faculty that show students’ engagement in their classes during our rapid move to online instruction. REX contains a host of other useful reports supporting analysis, business intelligence, operations, and efficiency.



Online Engagement Dashboard for Student Success

Graph of the Online Teaching Engagement Tool

This tool shows student engagement with both Blackboard and myUMBC.  A student with low use of both systems may not be fully engaged with their online and hybrid classes.  This tool has the ability to set filters for different student segments.  Particularly useful to student success staff is the tool’s ability to generate lists of students with low engagement on either or both systems. (Updated weekly)



Resources that support the Strategic Enrollment Plan

Strategic Enrollment Plan Dashboard (Development Preview)

Screenshot of the SEP Dashboard

This tool provides information to assess ourselves relative to the goals, yearly benchmark values, and key performance indicators contained in UMBC’s Strategic Enrollment Plan (both levels and recent trends). Users can filter by college and can see daily updates of enrollment compared to the same date during the previous year.


Fall 2020 Enrollment Dashboard

Graph of the Enrollment Monitor tool

Shows admissions, confirmation, and registration trends for the Fall 2020 Freshman class compared to the same dates for the previous two years. Can filter by college. (Updated daily)


Fall 2020 Advising Dashboard

Graph of the Advising Monitor tool

Shows Advising clearance and registration trends for the Fall 2020 term compared to the same date last year. (Updated weekly)


Enhanced Admitted Students by Plan (With Matriculation Predictions)

picture of the Admitted Students by Plan report

This existing report has been expanded to include results from a highly-precise predictive model that shows the probability that an admitted freshman student will enroll. Can filter by college or department. (Updated weekly)


Resources that support student success and graduation

6-Year Graduation Prediction Model

Graph of the Graduation Model tool

This tool presents the output of a predictive model that generates the probability that a student admitted as a freshman admits will graduate in 6 years using data through their third semester at UMBC.   It is most useful for student success staff and advising and planning.  Important warning to users: this model is not solely designed to identify students at academic risk.  For example, students with very high GPAs who complete twelve credit hours per term will be identified as having low 6-year graduation probabilities. (Current modeled cohort: Fall 2018)


Curricular Analytics

Screenshot of a curricular Analytics graph

This website hosts representations of our curricula used to assess curricular complexity and generate optimal degree plans. You will be required to create a third party account to access the curricula.


Blackboard Predict

Image of the Blackboard Predict Portal

Blackboard Predict uses advanced analytics and in-semester data to identify students at risk in their individual classes. It increases student success by improving our ability to send early alerts and gives advisors enhanced tools to better understand not only who might be at risk, but why.