As a higher education leader operating in a world of information overload while the pace and magnitude of change are increasing, how do you leverage the vast amount of data in your organization to find prospective students, develop flexible resource plans, and enroll classes that align with your institutional mission and financial goals?
Join our panel of experts for a brief session with live Q&A on these questions and more:
- With renewed questions about the value of a graduate degree combined with a declining number of test-taking applicants, how do you identify net new leads for prospective students?
- How can the use of Artificial Intelligence and Machine Learning truly inform and improve enrollment, net tuition revenue, student success, and financial resource allocation outcomes?
- How can we intelligently increase the number of high-quality, high-intent, and diverse applicants during an era of shrinking budgets, fewer staff resources, and a demand to efficiently streamline advanced technology solutions?
Register today to attend the first installment of the Graduate Engineering Education Total Enrollment Webinar Series, where we’ll cover key trends and cutting-edge solutions to persistent problems.
President, Data Analytics and Machine Learning Division
Research Director, EngineeringCAS