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You in 2042 ... The Future of WorkAuthor: Danielle Wallace
Glimpse into the future with thought provoking insights from global thought leaders. Imagine yourself in 2042 with the work world transformed around you. Get ready for this future now! Language: en-ca Genres: Business, Management Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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Beyond the Degree: Future-Proofing Students for 2042
Episode 1
Wednesday, 14 January, 2026
Emily Coleman, Co-Founder and CEO of a higher education data analytics company, shares how colleges can prepare students for the jobs of 2042. She explains how predictive modeling informs enrollment, retention, and student success, why adaptability is critical in higher education, and how alternative degree models and data literacy can future-proof graduates.Learn practical insights on using data, nimble strategies, and innovative learning models to help students—and institutions—thrive. Connect with Emily at haianalytics.com or on LinkedIn @EmilyColeman.Show Notes[00:26] Introducing Emily ColemanEmily Coleman is the Co-Founder and CEO of a data analytics company serving higher education. With over 23 years in the field, she and her team build predictive models for “admit-to-enroll yields, retention, and student success,” helping institutions make more informed decisions.[01:04] Preparing Students for 2042 JobsEmily notes that while data science and AI programs are important, the larger issue for colleges and universities is adaptability. She explains that higher education struggles to “shift strategy around to meet new needs” due to its structure—tenured faculty, physical campuses, and long-standing systems. Institutions that learn how to be more nimble, she says, will be the ones that succeed.[02:18] Why Data-Driven Decision Making MattersEmily reflects on how far higher education has come, explaining that when she started her career, a data-driven strategy wasn’t widely embraced. Today, “almost every job has some sort of data component,” even if individuals aren’t directly working with the data themselves.[03:37] Predictive Modeling in Higher EducationShe describes how universities rely on predictive modeling to support enrollment goals that go beyond headcount and revenue. Schools use data to balance program needs, geographic and ethnic diversity, and limited financial aid—while also examining retention and student satisfaction. Data, she says, now works alongside experience and intuition to confirm or challenge assumptions.[03:54] Data Literacy and Job ReadinessEmily explains that most students now graduate with some exposure to data or statistics. While not every career requires great technical skills, she believes understanding how data informs decisions helps graduates be “better off” in a workforce where data is used across industries.[05:03] Rethinking the Traditional Degree ModelAs more students question the value of a four-year residential degree, Emily emphasizes the need for alternative learning models. She points out that “everyone coming for four years” is no longer practical, especially for working adults, parents, and non-traditional students. Institutions that meet learners where they are will be more sustainable long-term.[06:34] Accelerated Degrees and Return on InvestmentEmily highlights the growing use of accelerated degree programs, noting that saving even a year of tuition can make a significant difference—while still keeping job outcomes and future-ready skills in focus.[09:07] Where to Learn MoreEmily invites listeners to connect with her on LinkedIn or visit her company’s website at haianalytics.com to learn more about her work in higher education and data analytics.
