Welcome to the Certificate in Institutional Research, Planning, and Assessment

The purpose of this 12 credit hour graduate certificate is to equip postsecondary faculty and administrators in 2- and 4- year institutions with the knowledge and skills to access, manage, and utilize input data, student information system generated data, outcome-based assessment results, and other benchmark indicators of institutional data in their decision-making processes. 

Specifically, students who complete this 12 credit-hour certificate will be able to do the following:

  • navigate extracts from their institutional databases and national databases to determine which variables will help them inform decisions;
  • write descriptive and inferential analysis using variables from their institutional and national databases;
  • identify variables gathered from pre-assessment or input data, as well as institutional and national databases that can be used for enrollment planning and  planning interventions in order to influence retention and graduation rates;
  • define outcomes-based assessment program review (OAPR) and articulate the purpose for OAPR, in particular the assessment of student learning and development;
  • identify and critique the benefits of various research methodologies, national surveys and instruments, and national benchmarks used in enrollment management and OAPR;
  • identify realistic solutions to the challenges encountered when implementing OAPR at an institutional level;
  • draft reports and presentations for various types of audiences for various types of purposes;
  • determine what variables may need to be collected and stored in main institutional databases as opposed to departmental databases  in order to answer pertinent institutional questions;
  • facilitate the request for and interpretation of data needed for specific decision-maker’s questions;
  • identify how data may be misinterpreted and identify presentation and reporting techniques that may diminish the opportunities for data misinterpretation;
  • identify and propose solutions for data analysis, reporting, and use of data ethical dilemmas; and
  • connect faculty or administrator produced data with external benchmark requirements and strategic planning.