Surveys on graduate readiness consistently show that fewer than one-third of Engineering students complete a substantial internship or live project during their degree.

Surveys on graduate readiness consistently show that fewer than one-third of Engineering students complete a substantial internship or live project during their degree.
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For much of the last century, an engineering degree told employers and society that the person holding it could be trusted with complex systems, machines, networks, infrastructure, code, and systems where mistakes had consequences. That trust did not come from certificates alone but from scarcity and constraint. Engineering education was limited in scale and closely tied to real systems. Theory and practice reinforced each other.

Mismatch

Today, India produces engineers at an unprecedented scale. According to AICTE data, India has around 1.6 million approved seats annually across over 3,500 institutions. But multiple industry assessments suggest that only 20-25% of engineering graduates are immediately employable in core technical roles. Increasingly, the degree certifies syllabus completion and exam endurance rather than demonstrated capability under constraint.

This has created a quiet mismatch between potential and preparedness. For many learners, the first real encounter with open-ended problems arrives only after graduation. Requirements are unclear, systems fail, and constraints compete. On campus, exposure to serious end-to-end projects remains uneven. Surveys on graduate readiness consistently show that fewer than one-third of Engineering students complete a substantial internship or live project during their degree.

Education becomes a sorting mechanism. Marks, ranks, and cut-offs decide access to opportunity, even though they correlate weakly with real-world engineering judgement. Students learn to optimise for correctness under controlled conditions rather than reliability under uncertainty. Employers respond accordingly. Hiring surveys across the tech sector show that over 60% of recruiters now rely on skills tests, take-home assignments, or portfolio reviews alongside formal qualifications.

In Engineering, much of what matters cannot be read from a marksheet. Judgement shows up in how someone debugs, reasons about failure, trades off speed against reliability, and works inside systems they did not design themselves. These capabilities form through responsibility and iteration, not instruction.

This becomes clearer when responsibility and exposure begin early. Hiring practices increasingly reflect this logic. Recruiters now place significant weight on project portfolios, open-source contributions, and system walkthroughs alongside degrees. In software, especially, work artefacts are visible and difficult to fake.

Foundational skills

Artificial Intelligence raises the stakes further. Developer surveys show that over 70% of engineers now use AI-assisted tools regularly. As generation becomes easier, judgment becomes harder to fake. Knowing what to build, why it matters, where it might fail, and how systems behave under stress cannot be outsourced to tools.

These capacities are not merely employability skills but the foundations of national capability. A country that depends on complex digital infrastructure, large-scale platforms, and AI-enabled systems cannot afford engineers whose first experience of responsibility comes after graduation. Engineering education is not just a pipeline to jobs but part of how a nation builds technological confidence and resilience.

If institutions continue to treat degrees as proof of completion while hiring increasingly rewards proof of work, degrees risk becoming positional markers rather than trust signals. The growing weight placed on demonstrable projects and real systems experience already reflects this shift. Project-first education does not discard the Engineering degree. It restores its original promise: that an engineer is someone who has learned, under constraint, how to make systems work, and can be trusted with building the systems a country depends on.

The writer is co-founder, Newton School of Technology.


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