What is financial aid optimization? In this recorded webinar, we demystify the predictive models that drive aid optimization, identify the data needed from institutions to build these models, and discuss special considerations for Christian institutions and smaller colleges and universities.

 

Your Presenter.Your Presenter.

  • Nick Wagner VP, Research + Data Science Persona The Competitive and Considerate Shepherd

    Nick leads and assists with client data modeling as it relates to student retention, financial aid optimization, and enrollment. He brings over 15 years of experience in the field of higher education with a background in predictive modeling, data science, and survey research. Nick is relentless in trying to uncover patterns in data to help inform institutional effectiveness and decision-making. In his prior roles he has led offices of Institutional Research, Sponsored Programs, Academic Program Assessment, and the Registrar’s Office.

    Nick Wagner

    Nick leads and assists with client data modeling as it relates to student retention, financial aid optimization, and enrollment. He brings over 15 years of experience in the field of higher education with a background in predictive modeling, data science, and survey research. Nick is relentless in trying to uncover patterns in data to help inform institutional effectiveness and decision-making. In his prior roles he has led offices of Institutional Research, Sponsored Programs, Academic Program Assessment, and the Registrar’s Office.

Watch the recording.


Carnegie announces the acquisition of Fire Engine RED's Student Search service.

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