NIT-Rourkela launches four new programmes in AI, semiconductors and advanced physics
The National Institute of Technology-Rourkela will introduce four new degree programmes starting in the 2026-27 academic session, targeting India's shortage of skilled professionals in semiconductors, quantum technologies, artificial intelligence and advanced manufacturing.
Two undergraduate BTech programmes and two postgraduate MTech programmes will launch. The institute expects the courses to prepare students for roles in deep-tech sectors while supporting national priorities in digital transformation and AI-driven innovation.
BTech Mathematics and Computing
The Department of Mathematics will admit 25 students through JEE Mains to this programme. The curriculum combines mathematics, computing and data science with courses in data structures, algorithms, theory of computation, machine learning, artificial intelligence, cryptography and statistical modelling.
Graduates can pursue careers in software development, AI and machine learning, data science, quantitative finance, cybersecurity and research.
BTech Engineering Physics
This programme also admits 25 students and focuses on quantum technologies, semiconductor devices, photonics, nanotechnology, materials science and space technology. The curriculum emphasises analytical thinking, modelling and simulations alongside laboratory training.
MTech Semiconductor Devices and Technology
The institute will admit 15 students through GATE. The programme covers semiconductor devices, IC fabrication, wafer technology, device characterisation, packaging and advanced electronic materials, with hands-on laboratory work and industry projects.
MTech Machine Learning and Signal Analysis
This 12-student programme focuses on deep learning, speech and image processing with collaboration across engineering disciplines. Admission occurs through GATE.
Alignment with national education policy
Ashok Kumar Turuk, Dean of Academics at NIT-Rourkela, said the programmes align with the National Education Policy 2020, which emphasises multidisciplinary learning, flexibility and research-oriented education.
"Physics and Mathematics should no longer be viewed only through the lens of theory but as foundational disciplines powering emerging technologies and industrial transformation," Turuk said.
The programmes reflect a shift in how engineering institutions approach foundational subjects - positioning them as direct enablers of technology development rather than purely theoretical study.
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