The Art and Science of Enrollment Forecasting

January 25-26, 2021

Two-Part Webinar Series: January 25 and 26, 2–3 p.m. ET

During this two-part webinar, participants will be introduced to an enrollment forecasting model used to project enrollments consistently at a large (20,000+) public comprehensive university for almost 20 years. Adaptable to institutions of any size, the model, which is based in Excel, can help institutions forecast future enrollments through the use of historical data and sound reasoning. The model is not designed to project how many new students will attend an institution, but rather, how they progress, hopefully to graduation. During the webinars, the presenter will share examples of how his institution has been adjusting the model to account for evolving student populations, especially during the current pandemic. 

As a result of this webinar, participants will be able to: 
  • Identify guidelines to consider when implementing an enrollment forecasting model 
  • Explain the logic behind the forecasting model employed by the presenter’s institution 
  • Adapt the model to their own institutions
  • Identify various strategies to communicate the information effectively to stakeholders

  • One registration may be used in a conference room setting to share with a group of colleagues. 
  • Registration closes 60 minutes prior to the webinar. 
  • Registered participants will have access to the webinar recording for 30 days following the live event. 
  • $99/$129 (members/nonmembers)
Event Type(s): Webinar
Event Topic: Analytics
Experience Level: Beginner
Length of Event: Two-part series, one hour each
Date(s): January 25-26, 2021
Instructor/Presenter: Chris Orem, James Madison University