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HelioCampus Webinar

Time Series Methods for Enrollment Forecasting


For higher education institutions, forecasting future enrollments is key for budget and resource planning. Naïve methods relying on historical conversion metrics and upstream indicators can provide estimates of expected outcomes. However, such methods are not responsive to early signals and do not naturally account for year to year variation in patterns.

Time series forecasting can provide actionable insights based on emerging trends and, when correctly calibrated, generate strong predictions even as conditions on the ground change.  Check out our webinar replay to learn more!

What's Included In This Webinar

  • The requirements for generating a valid forecast
  • Ways to overcome some common challenges
  • A walk through of two recent case studies demonstrating how well calibrated forecasts are able to accurately predict enrollments despite significant changes in procedures and processes over the last two years at two different institutions.

Time Series Methods for Enrollment Forecasting