Changing Higher Ed

Pairing Liberal Arts with Tech Readiness: Five Institutional Decisions from Manhattan University

July 14, 2026·33 min
Episode Description from the Publisher

At Manhattan University, the case for the liberal arts is being made with outcomes, not nostalgia. Its graduates rank in the top 2% nationally for mid-career salaries, and The Wall Street Journal ranked the university 73rd in the country for graduate salaries, social mobility, and cost-effectiveness. The more useful story for institutional leaders sits underneath those numbers: a set of deliberate decisions about program design, technology preparation, faculty adoption, hiring, and alumni engagement. In this episode of the Changing Higher Ed® podcast, Dr. Drumm McNaughton speaks with Dr. Fred Bonato, President of Manhattan University, about how the institution pairs a liberal arts core with universal technology preparation, on the premise that transferable skills hold even greater value when combined with technical fluency. Bonato explains how Manhattan houses its interdisciplinary programs in AI, cybersecurity, and data science outside any single college under the new ARCH Innovation Exchange; requires every first-year student to earn an IBM SkillsBuild digital badge in AI; funds faculty adoption through an institutional ChatGPT license, workshops, and peer champions rather than mandates; screens faculty and staff hires for comfort with AI as a tool; and treats the university's alumni network as employment infrastructure, including the James Patterson-funded leadership development honors program. This conversation is especially relevant for presidents, provosts, and board members weighing humanities cuts, planning AI integration, or looking for adoption strategies that work within shared governance rather than around it. Topics Covered •       Why Bonato defines the liberal arts by their transferable skills: problem-solving, creative thinking, and persuasive writing and speaking •       Housing interdisciplinary programs in AI, cybersecurity, and data science outside any single college to redu

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