Real problem-solving now means thinking across domains — and the demand for people who can is just emerging.
Work is messy now. AI is automating routine tasks. Global markets shift overnight. New industries — gaming, synthetic biology, climate-tech — come up, and scale before universities can create programs for them. The World Economic Forum’s Future of Jobs report lists analytical thinking and creative problem-solving as the top skills for 2025. But here’s my understanding as an educator: you can’t build those skills in a single discipline. Real problem-solving means thinking across domains.
Consider two graduates — both entering the health-tech sector. The first has a biomedical engineering degree — she understands device mechanics but struggles to adapt her designs to unpredictable regulatory and patient-behavior challenges. The second studied biomedical engineering but also took a “Product and Behavior Design” course through another department. She uses product and user-derived insights to redesign a wearable for better fit and patient adherence.
The difference? The second graduate learnt to transfer methods from one discipline into another.
And that skill is firmly established today as a competitive advantage.
From school to colleges, learning is still largely siloed. We separate “design” from “health,” “business” from “sports,” “engineering” from “ethics.” Students and professionals may excel in their vertical, but when faced with a problem that spills across domains — as most do — they hit a wall.
Decades of research back this up. David Perkins and Gavriel Salomon’s studies on transfer of learning show that without deliberate scaffolding, people rarely apply what they’ve learned in one setting to another. What this means in practice is that knowing how to run a marketing campaign doesn’t mean you can lead a community for an online game; working with AI in a general sense doesn’t mean you can optimise a bank’s fraud-detection system.
This gap is expensive. Companies pay twice — once for generic training (while hiring graduates), and then again for on-the-job retraining to make that knowledge usable in their context. Universities graduate capable specialists who still require months of context-specific onboarding before they’re productive.
Well-designed interdisciplinary learning isn’t about throwing unrelated subjects together or hoping students pick up different combinations and bring them together. It requires deliberate connections that demand conceptual transfer.
The International Baccalaureate’s Theory of Knowledge (TOK) course builds explicit skills in linking ideas from different domains. Studies of the IB and MYP frameworks show higher performance in adaptation tasks when learning is scaffolded and assessed for transfer.
In professional education, project-based learning consistently delivers stronger real-world outcomes when built around authentic, cross-domain problems. Borrego & Newswander’s review of interdisciplinary graduate programs shows that when institutional design supports co-teaching, authentic projects, and reflective practice, learners build durable, adaptive capabilities. Without these elements, “interdisciplinary” risks becoming little more than a marketing word.
Whether it’s “AI for Banking,” “Entrepreneurship Through Sports,” or “Parametric Design for Health-Tech,” the winning formula is the same:
This is exactly the approach we take — bringing together practitioners, researchers, and academics from multiple fields, then layering in evidence-based learning design and pedagogy. By combining subject-matter expertise with the science of how people actually learn and transfer knowledge, we create programs that are both context-specific and structurally engineered for lasting capability.
In the next article, we unpack exactly how to design these programs — from sports-business hybrids to industry-specific innovation capstones — and show how employers, universities, and professional schools can pilot them at low cost and high impact.
For now, here is the key takeaway message for decision-makers:
Stop investing only in vertical expertise. Start building horizontal capability — because the problems of the future won’t have subject labels attached to them.
Part 1 of a three-part series on interdisciplinary learning. Draws on the WEF Future of Jobs report, Perkins & Salomon on transfer of learning, IB TOK/MYP research, and Borrego & Newswander’s review of interdisciplinary graduate programs.