B.Tech in Mechanical Engineering (Artificial Intelligence)

The Integrated B.Tech is a unique interdisciplinary programme that combines the core principles of mechanical engineering with advanced artificial intelligence technologies. Over a span of five years, students will gain expertise in both domains, focusing on industry-relevant skills and emerging technologies. The programme is designed to equip students with a robust foundation in Mechanical Engineering during the first three years, followed by specialisation in AI-driven applications in areas such as thermal engineering, industrial engineering, optimisation, design engineering, manufacturing engineering, robotics, and automation. The curriculum has been developed in collaboration with industry experts and the Centre for Artificial Intelligence to ensure relevance in today’s evolving technological landscape.

Major Tracks
Programme Name

B.Tech in Mechanical Engineering (Artificial Intelligence)

Scholarship

Information on Scholarship 2025 will be updated shortly. Please check back soon.

Programme Highlights
  • Interdisciplinary Learning: A unique blend of mechanical engineering fundamentals and AI-driven technologies.
  • Industry Collaboration: Curriculum designed in consultation with leading industry experts to ensure alignment with current and future demands.
  • Hands-On Experience: Access to state-of-the-art labs and centres of excellence such as the Tata Technologies Lab, Advanced Manufacturing Engineering Center, and Welding Simulator.
  • Project-Based Learning (PBL): Strong emphasis on practical, hands-on learning through internships, industry-linked projects, and real-world applications.
  • Capstone Project and Internship: In the final year, students will engage in an internship program that allows them to gain real-world experience in their chosen field. Concurrently, they will work on a Capstone Project focused on solving a real-world challenge using the integration of mechanical engineering and AI.
  • Stipend for Meritorious Students: In recognition of academic excellence, meritorious students in the final year will receive a stipend to support their studies and encourage outstanding performance.
Programme Outcomes
  • Have a deep understanding of mechanical engineering concepts and the ability to apply artificial intelligence solutions to industry problems.
  • Be able to design, develop, and optimise intelligent systems for various applications such as smart manufacturing, robotics, thermal systems, and industrial processes.
  • Be proficient in data-driven decision making, applying AI algorithms for predictive analysis and performance enhancement in engineering processes.
  • Demonstrate skills in research and innovation, preparing them for R&D roles or entrepreneurial ventures in cutting-edge fields.
  • Possess strong interdisciplinary competencies to work in dynamic, cross-functional teams involving engineers, data scientists, and AI experts.
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