New Tool Provides Prospective Students Personalized ROI Estimates for Specific Degree Programs

Seattle-based startup AstrumU has introduced a new Enrollment Marketing Toolkit that uses machine learning to estimate the return on investment for the degrees, majors and courses being considered by prospective students. At the front end of the enrollment process, it provides students with a personalized career map quantifying the value of their educational experience.

Using the toolkit, "institutions can easily integrate insights on career outcomes into their existing enrollment efforts, increasing the effectiveness of student-facing outreach, marketing and communication," according to the company. Prospective students can simulate how a particular program could help them increase their salary, switch career paths or gain in-demand skills.

"At a time when so many students and families are facing significant financial and economic hardship, colleges and universities have an imperative to not only focus on the affordability of the degree, but to provide clear and actionable information — early in the application process — on how each academic experience translates into an economic opportunity," said Kacie Jones, associate director of admissions and recruitment for online programs at the University of Illinois-Urbana Champaign's Gies College of Business, one of nine U.S. graduate business programs currently piloting the toolkit. "With AstrumU, we have the data to show prospective students how our programs can help them get where they want to go at a more personalized, granular level than traditional employment reports. With a clear path to their career goal, prospective students can apply with confidence."

For more information, visit the AstrumU site.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • AI-inspired background pattern with geometric shapes and fine lines in muted blue and gray on a dark background

    IBM Releases Granite 3.0 Family of Advanced AI Models

    IBM has introduced its most advanced family of AI models to date, Granite 3.0, at its annual TechXchange event. The new models were developed to provide a combination of performance, flexibility, and autonomy that outperforms or matches similarly sized models from leading providers on a range of benchmarks.

  • blue and green lines intersecting and merging in an abstract pattern against a light gray background with a subtle grid design

    Data Integration Market: Cloud Giants Down, AI Up

    "By 2027, AI assistants and AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60 percent and enable self-service data management," according to research firm Gartner.

  • minimalist bookcase filled with textbooks featuring vibrant, solid-colored spines with no text, and a prominent number "25" displayed on one of the shelves

    OpenStax Celebrates 25th Anniversary

    OpenStax is celebrating its 25th anniversary as 2024 comes to a close. The open educational resources initiative from Rice University has served almost 37 million students in 153 countries and saved students nearly $3 billion in course material costs since its launch in 1999.

  • wind turbine and solar panels with glowing accents on the left and a digital shield surrounded by binary code on the right

    Educause Horizon Report: Sustainability Pressures Lead to Increased Cybersecurity Risks

    Educause recently released the 2024 Cybersecurity and Privacy Edition of its Horizon Report series, forecasting key trends, technologies, and practices shaping the future of cybersecurity and privacy in higher education.