School of Engineering

B.Tech. in Computer Science and Engineering (CSE) with a Specialization in Artificial Intelligence is an undergraduate degree program that combines regular computer science study with an emphasis on AI technology. This 4-year course provides students with a solid foundation in programming, data structures, algorithms, and software engineering, as well as deep dives into AI-specific topics including machine learning, deep learning, natural language processing, computer vision, and robotics. Program will help to learn how to use AI approaches to create intelligent systems, evaluate complex data, and solve real-world problems. Hands-on projects, internships, and research opportunities are frequently included in the curriculum to provide students with actual experience using AI ideas. 

The M.Tech. in Computer Science & Engineering is a 2-year postgraduate degree that provides advanced specialization in artificial intelligence, machine learning, computer networks, cybersecurity, and software engineering. The program encompasses cutting-edge topics like as deep learning, cloud computing, the Internet of Things, and data mining. Through hands-on projects, industrial internships, and research, students acquire expertise in designing and implementing innovative computing solutions to complicated real-world issues. Graduates of this degree have the opportunity to work as software architects, data scientists, cybersecurity professionals, and research engineers in the fast-changing field of computer science and information technology.

The M.Tech. in Electrical Engineering is a 2-year postgraduate degree that provides advanced specialization in fields such as power systems, control systems, signal processing, and embedded systems. The curriculum includes areas such as power electronics, machine learning, renewable energy technologies, and smart grid systems. Students learn how to establish, analyze, and optimize complex electrical and electronic systems through hands-on projects and industrial internships. Graduates of this program have the potential to work as power system engineers, control system specialists, embedded software developers, and research scientists in the flourishing field of electrical engineering, helping to develop new technologies

M.Tech. in Textile Technology is a postgraduate degree that normally lasts 2 years (4 semesters). It focuses on advanced textile production methods, fiber science, textile chemistry, and novel fabric technologies. The curriculum includes topics such as technical textiles, nanotechnology in textiles, textile testing, and quality control. Students engage in research projects and industry internships, obtaining practical experience with modern technology. This degree prepares graduates for managerial roles in the textile industry, research organizations, and academia, providing them with the knowledge and skills needed to drive innovation in sustainable and smart textile technologies.

M.Tech. in Mechanical Engineering is an advanced postgraduate degree typically completed in 2 years. The program deepens students' understanding of mechanical engineering principles and applications, covering subjects like advanced thermodynamics, robotics, finite element analysis, and advanced manufacturing processes. Students engage in coursework, laboratory experiments, and a research thesis or project. The curriculum often includes electives allowing specialization in areas such as automotive engineering, aerospace systems, or energy systems. This degree enhances career prospects in industries like automotive, aerospace, energy, and manufacturing, preparing graduates for roles in research and development, design engineering, or advanced technical management positions.

B.Tech. in Mechatronics is a 4-year undergraduate program that integrates mechanical, electrical, and computer engineering disciplines. This interdisciplinary field focuses on designing and developing intelligent systems and automated devices. Students learn about robotics, control systems, sensors, actuators, and embedded systems. The curriculum typically includes courses in mechanical design, electronics, programming, and system integration. Practical projects and laboratory work are essential components, allowing students to apply theoretical knowledge to real-world problems. Graduates are well-equipped for careers in industries such as automation, robotics, aerospace, and manufacturing, where they can design and maintain complex electromechanical systems. The program prepares students for roles in research, development, and innovation across various technological sectors.

 B.Tech. in Biomedical Engineering is typically a 4-year undergraduate program that combines principles of engineering with medical and biological sciences. Students learn to design and develop innovative medical devices, imaging systems, and biotechnology solutions. The curriculum covers subjects like biomechanics, bio instrumentation, medical imaging, biomaterials, and tissue engineering. Coursework often includes practical laboratory experiences, internships, and capstone projects. Graduates are prepared for careers in healthcare technology, medical device industries, research institutions, and hospitals. They may work on developing prosthetics, designing diagnostic equipment, or creating software for medical applications. This interdisciplinary field offers opportunities for further specialization through postgraduate studies or research.

B.Tech. in Machine Learning is a 4-year undergraduate program that teaches students fundamental computer science principles as well as specialized abilities in machine learning algorithms, data analysis, and artificial intelligence (AI). The curriculum usually incorporates programming, data structures, mathematics, and fundamental machine learning concepts like supervised and unsupervised learning, neural networks, and deep learning. Labs, projects, and internships provide students with practical knowledge as they prepare for careers in data science, AI development, robotics, and other fields. Graduates are well-prepared to work in industries such as banking, healthcare, and technology, or to pursue additional studies in AI and machine learning.