The B.Tech in Artificial Intelligence & Robotics at Dayananda Sagar University has been developed through a structured academic benchmarking process with reference to leading national and international institutions, including the Indian Institutes of Technology (IITs), National Institutes of Technology (NITs), and globally reputed universities such as Stanford University. The objective of this benchmarking exercise is to ensure global academic rigor, technological relevance, and strong industry alignment.

The curriculum demonstrates parity with IIT and NIT programs in terms of foundational strength, with rigorous coverage of engineering mathematics, probability and statistics, algorithms, control systems, robot mechanics, kinematics, and dynamics. These components provide students with a strong analytical and problem-solving foundation, preparing them for advanced engineering practice, research, and higher studies.

In the domain of Artificial Intelligence, the program offers early and in-depth exposure to advanced topics such as Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, Agentic AI, and Cognitive Architectures at the undergraduate level. This approach aligns with global curricular practices followed by leading international universities, where emphasis is placed on intelligent autonomous systems and emerging AI paradigms.

The Robotics component extends beyond conventional undergraduate curricula by incorporating mobile robotics, robot vision, ROS-based systems, industrial robotics, soft robotics, humanoid robotics, and multi-robot systems. Application-oriented learning is emphasized across domains such as manufacturing, healthcare, agriculture, and logistics.

A distinguishing feature of the program is its strong focus on systems-level engineering and industry readiness. The integration of embedded systems, PLC programming, industrial automation, IoT-enabled robotic systems, and hydraulics and pneumatics reflects contemporary industrial practices and enhances graduate employability.

Interdisciplinary learning is further strengthened through electives in design thinking, entrepreneurship, ethics in artificial intelligence, blockchain, quantum computing, and emerging digital technologies. This holistic approach mirrors international trends in engineering education, where innovation, ethics, and societal impact complement technical depth.

Overall, the B.Tech in Artificial Intelligence & Robotics at Dayananda Sagar University is positioned at the intersection of IIT/NIT-level academic rigor and global best practices in application-driven and interdisciplinary education, producing graduates who are theoretically sound, practically competent, and globally competitive.

The M.Tech in Artificial Intelligence & Robotics at Dayananda Sagar University is an advanced postgraduate program designed through academic benchmarking with reputed institutions including IITs, NITs, IISc, and internationally recognized universities offering specialized AI and Robotics programs. The curriculum is structured to meet global postgraduate standards with a strong emphasis on research, advanced system design, and industrial problem-solving.

The program builds upon foundational knowledge and focuses on advanced mathematical modeling, optimization techniques, advanced machine learning, deep reinforcement learning, probabilistic robotics, intelligent control systems, and autonomous decision-making. This depth is comparable to M.Tech and MS programs offered by IITs and leading global universities.

Advanced AI modules include Generative AI, Large Language Models, Agentic Systems, Explainable AI, Cognitive Robotics, and AI for Cyber-Physical Systems. These topics reflect contemporary research directions and align with international curricula emphasizing intelligent autonomy and trustworthy AI.

The Robotics specialization offers advanced coursework in robot perception, multi-sensor fusion, SLAM, autonomous mobile robots, humanoid robotics, soft robotics, industrial automation, and ROS-based large-scale robotic systems. Students are trained in both simulation-driven and hardware-based experimentation, ensuring strong research and deployment capabilities.

A significant differentiator of the program is its strong integration of research and industry practices. The curriculum incorporates AI-driven industrial automation, intelligent manufacturing systems, collaborative robotics, digital twins, IoT-enabled robotic platforms, and smart infrastructure applications. This positioning ensures alignment with Industry 4.0 and global technological trends.

The program also emphasizes interdisciplinary research and innovation through electives in AI ethics, sustainable AI systems, robotics for healthcare, smart agriculture, and intelligent transportation. A mandatory dissertation/project component enables students to undertake research-oriented or industry-sponsored problems, preparing them for PhD programs, R&D roles, and leadership positions in advanced technology sectors.

Overall, the M.Tech in Artificial Intelligence & Robotics at Dayananda Sagar University stands on par with postgraduate programs offered by IITs and international universities, with a balanced focus on theoretical depth, applied research, and industry relevance.

The PhD and Research Programs in Artificial Intelligence & Robotics at Dayananda Sagar University are designed to foster high-impact, original research aligned with national priorities and global research trends. The program is benchmarked against doctoral programs offered by IITs, IISc, and leading international research universities, ensuring rigorous research standards and scholarly excellence.

The research framework emphasizes strong theoretical grounding in advanced mathematics, machine learning theory, optimization, control systems, and computational intelligence, combined with experimental validation and real-world deployment. Scholars are encouraged to work on cutting-edge research problems spanning Artificial Intelligence, Robotics, and Cyber-Physical Systems.

Key research thrust areas include Machine Learning and Deep Learning, Reinforcement Learning, Generative AI, Agentic AI systems, Cognitive Architectures, Autonomous Robots, Robot Perception and Vision, Human–Robot Interaction, Multi-Robot Systems, Soft Robotics, Medical Robotics, and AI-driven autonomous vehicles.

The program places strong emphasis on interdisciplinary and application-driven research, encouraging collaboration across domains such as healthcare, smart cities, agriculture, manufacturing, defense, and sustainable development. Research scholars are also motivated to align their work with national missions and UN Sustainable Development Goals (SDGs).

Doctoral candidates are trained in advanced research methodologies, scientific writing, patent development, technology transfer, and ethical AI practices. The program promotes publication in high-impact journals, participation in international conferences, and collaboration with global research institutions and industry partners.

Overall, the PhD and Research Programs in Artificial Intelligence & Robotics at Dayananda Sagar University are positioned to develop independent researchers, innovators, and academic leaders capable of contributing significantly to the global AI and Robotics research ecosystem.