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Distance Learning
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Analytics to Predict Student Enrollment, Retention and Success

Wednesday, March 7, 2018 1:00 PM ET

Overview

Can analytics solutions predict and elevate net tuition revenue? What role can institutional research offices play to help colleges and universities get the biggest return on their student investment? Using admissions, demographic, and financial aid data, the University of Texas System has developed a dynamic tool that “predicts” students’ enrollment. The result: optimizing return on investment and potentially increasing net tuition revenue through increasing retention rates. Attendees will learn how this statistically based predictive analytics model used for two very different institutions predicts matriculation, maximizes return on financial aid resources, and increases retention.

WHAT YOU WILL LEARN

After participating in this program you will be able to:

  • Gain a detailed understanding of the predictive matriculation model and how you might create and implement the same model at your institution.
  • Develop an understanding of how financial aid packaging strategies (discretionary, partial discretionary, and non-discretionary monies) impact students’ admissions decisions 
  • Estimate institutional dollars lost due to attrition based on the current financial aid strategies
  • Estimate net tuition revenue gains using the predictive matriculation model

MEET THE PRESENTERS

  • Jessica Shedd, assistant provost for assessment and institutional research, Tulane University
  • David Troutman, associate vice chancellor, institutional research & decision support, University of Texas System
  • Sue Menditto (moderator), director, accounting policy, NACUBO

WHO SHOULD PARTICIPATE   

  • Chief Business Officers
  • Accountants
  • Controllers
  • Vice Presidents of Finance
  • College and Central Business Managers

Course Information

  • Course Level: Intermediate
  • Course Type:  Group internet based training
  • CPE Field of Study: Finance
  • Length: 75 minutes
  • Prerequisites: none
  • CPE Credits: 1.5 (each person must register individually to earn CPEs)
     

Fees

Member Registration: $129.00
Non-Member Registration: $219.00

Sponsor


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Technical Requirements

Software/Browser Requirements

  • Windows XP/Vista/7
  • Windows Media Player 10,11 or 12
  • Adobe Acrobat Reader 7.0 or later
  • Flash Player 10.x

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CPE Information

NACUBO is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.