India’s higher education ecosystem is undergoing a quiet, but significant recalibration as the country sharpens its focus on artificial intelligence, robotics, quantum computing, and other frontier technologies.
Engineering education, long anchored in domain-specific training and short-cycle employability, is now being pushed to evolve in response to changing national and global technology priorities.
As technology becomes central to economic competitiveness and strategic autonomy, institutions are being encouraged to cultivate systems thinking, interdisciplinary research capability, and long-horizon problem-solving, particularly in deep-tech domains with high national impact.
This shift reflects a growing recognition that future engineers will need more than coding proficiency or narrow specialisation.
MOVING BEYOND CONVENTIONAL ENGINEERING MODELS
As universities reassess how engineering education must evolve for emerging technology landscapes, there is growing interest in academic structures that prioritise long-term research capacity over short-term skill training.
One such development is the establishment of the Sajjan Agarwal School of Technology at Rishihood University. The school has been set up as an endowed academic unit focused on deep-technology education and research, supported by a Rs 100 crore philanthropic contribution from Sajjan Agarwal, Chairman and CEO of GreenHawk Corporation, and a member of the university’s Board of Founders.
This has led to a rethinking of how engineering education is structured, placing greater emphasis on research orientation, cross-domain learning, and the ability to understand interactions between technologies such as AI, robotics, cybersecurity, biotechnology, and quantum systems, along with their ethical and societal implications.
Talking about what led to this thought, Professor (Dr.) Shobhit Mathur, Vice Chancellor of the university says, “Traditional engineering programmes in India have largely been structured around siloed disciplines and immediate industry readiness.”
However, emerging technologies increasingly demand engineers who can design, integrate, and evaluate complex systems that cut across multiple technological and societal layers.
LONG-TERM CAPACITY BUILDING AS AN ACADEMIC STRATEGY
Explaining the academic thinking behind this shift, Professor (Dr.) Shobhit Mathur, Vice Chancellor of the university, says, “The idea was to move away from a conventional engineering school model and build a systems-focused deep-tech institution.”
This initiative is structured as a 10-year capacity-building roadmap, aimed at strengthening research infrastructure, faculty depth, and interdisciplinary learning rather than short-term expansion.
The focus is on enabling students to work across integrated technology systems and engage with applied research early, while building long-term academic capability aligned with India’s strategic technology needs.
RESEARCH INFRASTRUCTURE AND FACULTY AS CORE PILLARS
Across the sector, strengthening research infrastructure is emerging as a central priority. Investments are increasingly directed toward advanced computing environments, applied research laboratories, and interdisciplinary learning spaces that support sustained enquiry rather than isolated coursework.
Faculty capacity is also being re-evaluated, with institutions placing greater emphasis on recruiting researchers with exposure to global academic ecosystems and applied research environments.
Seed funding for early-stage research and student-led innovation is being positioned as a mechanism to embed research thinking at both undergraduate and postgraduate levels.
Reflecting on this shift, Professor (Dr.) Shobhit Mathur notes, “Deep-tech education cannot be delivered through curriculum updates alone. It requires an ecosystem where research, teaching, and experimentation reinforce each other over time.”
ALIGNING ENGINEERING EDUCATION WITH NATIONAL PRIORITIES
As India looks to reduce dependence on imported technologies and outsourced engineering services, alignment between higher education and national priorities is gaining prominence.
Deep-tech education is increasingly being framed around long-term capability creation, ethical responsibility, and societal relevance.
Rather than replicating global institutional templates, universities are being encouraged to develop context-specific academic models that address India’s developmental challenges while remaining globally competitive in research and innovation.
On this broader role of universities, Professor (Dr.) Shobhit Mathur says, “Academic institutions will increasingly be judged by how well they contribute to national capability and public value, not just by placement outcomes or rankings.”
The metrics used to evaluate engineering education outcomes are also evolving. Enrolment growth alone is no longer seen as a sufficient indicator of success in deep-tech education.
Instead, greater emphasis is being placed on research output, interdisciplinary project quality, prototype development, patent activity, and the progression of graduates into advanced research roles or doctoral programmes.
The broader objective is to contribute meaningfully to India’s research and innovation ecosystem, rather than function solely as teaching-focused institutions.
