Kamal Ghorui
Expansion and the hidden risk
Technological universities across India are expanding at unprecedented speed. New programmes in artificial intelligence, semiconductor technologies, clean-energy systems, robotics, biomedical devices and advanced manufacturing are being launched with urgency. Industry partnerships are deepening. Start-up ecosystems are growing. Applied research and commercialisation are celebrated as markers of relevance.
This momentum reflects national ambition and global technological competition. Yet beneath this visible progress lies a quieter institutional risk that deserves serious attention.
Can engineering remain transformative if the scientific foundations beneath it slowly weaken?
Engineering is not simply about building systems. It is about understanding why systems work, when they fail and how they can be redesigned under new constraints. That understanding comes from mathematics, physics, chemistry and increasingly biology. When scientific depth expands, engineering gains new possibilities. When foundational disciplines narrow, engineering risks becoming incremental rather than transformative.
History offers clear lessons. Quantum mechanics was not developed to create computer chips, yet without it there would be no semiconductor industry. Electrochemistry enabled modern batteries. Molecular biology laid the groundwork for mRNA vaccines. Many defining technologies of our time emerged from fundamental research conducted decades earlier, often without immediate application in view. The distance between discovery and deployment may be long, but it is rarely accidental.
Leading technological universities recognise this pattern. Institutions such as ETH Zurich, the Technical University of Munich, Imperial College London and MIT maintain strong departments of physics, chemistry, mathematics and life sciences alongside engineering faculties. Their global standing rests not on shrinking science but on embedding foundational disciplines deeply within engineering education and research ecosystems.
Policy intent and uneven implementation
India’s own policy framework reinforces this balance. The National Education Policy 2020 calls for multidisciplinary institutions and meaningful integration across sciences and engineering. Accreditation norms require substantial grounding in mathematics and basic sciences because analytical reasoning, modelling and experimental rigour are professional necessities, not academic luxuries.
Yet implementation has begun to diverge across universities in ways that directly affect academic standards. Some institutions have retained Engineering Physics and Engineering Chemistry as full 4-credit courses, while others have reduced their credit weightage. Such differences may appear minor on paper, but they shape the scientific maturity of an entire generation of engineers. A national policy must therefore ensure at least a uniform minimum baseline for foundational science credits so that academic rigour does not become a matter of geography or administrative discretion.
Institutional incentives can quietly shift priorities. Applied research attracts faster grants, visible industry partnerships and measurable outcomes such as patents and start-ups. Rankings reward scale and external funding. Budget decisions naturally gravitate toward programmes that generate quick recognition. Core scientific disciplines often produce impact that may not immediately appear in commercialisation metrics. Over time, this can lead to gradual reallocations of faculty positions, laboratory space and doctoral fellowships away from foundational areas.
Universities operate on decades, not annual cycles. What appears efficient in the short term may erode intellectual depth in the long term.
Why depth still matters
A few simple indicators can reveal whether equilibrium is being maintained. Are faculty positions in mathematics, physics, chemistry and biology being replenished at the same rate as engineering posts? Is laboratory space for core sciences stable or steadily shrinking? How are doctoral fellowships distributed? Are science faculty leading interdisciplinary projects or primarily supporting them? These questions are not accusatory. They are diagnostic tools for institutional self-assessment.
PhD scholars are central to this ecosystem. They introduce new methods, mentor younger students, sustain laboratory culture and build global networks. When doctoral intake in core disciplines declines, departments gradually shift toward teaching-heavy units, reducing their capacity to generate breakthrough research. The consequences may not be visible immediately, but they accumulate over time.
Biology adds another dimension to the discussion. In the past, mathematics, physics and chemistry formed the principal scientific base of engineering. Today, biological knowledge is equally central. Water systems depend on microbial processes. Climate resilience requires ecosystem science. Advanced materials interact with living tissues. Engineering and life sciences are converging rapidly, and global trends point to significant expansion in bio-manufacturing and synthetic biology. Universities that weaken internal scientific depth risk becoming dependent on external collaborators for core expertise, limiting their ability to lead interdisciplinary innovation.
There is also a pedagogical dimension. First-year science courses are not formalities. They build analytical confidence and teach students to question assumptions and test models rigorously. Mathematics does not become obsolete. Thermodynamics does not expire. Molecular interactions remain relevant even as technologies evolve. Engineers grounded in first principles adapt when paradigms shift.
Stewardship and structured collaboration
This is not an argument against applied research or industry engagement. Translational innovation is essential for national development. The real question is whether engineering can lead sustainably without strong scientific foundations.
Stewardship requires deliberate choices. Doctoral fellowships must reflect the strategic importance of foundational disciplines. Faculty recruitment must protect disciplinary depth. Laboratory infrastructure in core scientific areas should be treated as long-term intellectual capital rather than flexible surplus. Joint supervision between science and engineering faculty should be encouraged so that inquiry and application evolve together.
Equally important is the deliberate facilitation of co-working spaces and collaborative platforms where mathematicians, physicists, chemists, biologists and engineers work side by side on emerging technological challenges. Such collaboration should not remain informal or personality-driven. Universities can institutionalise it through interdisciplinary doctoral clusters, seed funding for cross-domain teams, shared research facilities and co-taught courses that bridge theory and application. Many complex problems, from climate resilience to advanced materials, digital health and artificial intelligence, do not respect disciplinary boundaries. Universities must design structures that enable cross-domain teams to translate fundamental insights into practical solutions while preserving disciplinary strength.
Technological universities are not merely training centres for today’s industries. They are engines that expand what a nation can attempt next.
Engineering builds the future, but science decides its limits.
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