School of Engineering

M.Tech. in Chemical Engineering is a 2 year postgraduate degree that focuses on providing advanced knowledge and skills in chemical processes and engineering. The curriculum includes topics such as process design, response engineering, transportation phenomena, process control, and environmental engineering. Students participate in research projects, case studies, and hands-on training to prepare for careers in areas such as petrochemicals, pharmaceuticals, energy, and environmental management. The program also stresses using chemical engineering principles to tackle real-world challenges. Admission normally needs a B.Tech. in Chemical Engineering or a related discipline, with an emphasis on both theoretical and practical knowledge.
 

M.Tech. in Biomedical Engineering is a 2-year postgraduate program that combines engineering principles with medical and biological sciences to develop innovative healthcare solutions. This course focuses on areas such as medical imaging, biomaterials, biomechanics, bioinformatics, and medical device design. Students gain both theoretical knowledge and practical experience through laboratory work, projects, and internships in collaboration with healthcare institutions. The program is designed to equip graduates with the skills needed to address complex biomedical challenges, enhancing the design and implementation of medical technologies. Upon completion, students are prepared for roles in research, development, and design within the healthcare and medical device industries, as well as in academic research and development settings.

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.

 M.Tech. in Artificial Intelligence (AI) is a postgraduate program designed to equip students with advanced knowledge and skills in AI technologies. Typically spanning 2 years, this course covers a wide range of topics including machine learning, deep learning, natural language processing, computer vision, robotics, and data science. Students engage in both theoretical studies and practical applications, preparing them for careers in AI research, development, and implementation across various industries such as healthcare, finance, and technology. The curriculum includes core subjects, electives, and hands-on projects, fostering problem-solving abilities and innovation. By the end of the program, graduates are ready to tackle complex challenges in AI and contribute to the rapidly evolving field.

M.Tech. in Machine Learning is a specialized postgraduate program designed to equip students with advanced skills in machine learning, artificial intelligence, and data science. Typically spanning 2 years, the course covers core subjects such as statistical learning, deep learning, reinforcement learning, natural language processing, and algorithm design. Students gain hands-on experience in building models, data analysis, and implementing machine learning algorithms across various domains like healthcare, finance, and robotics. The program is ideal for individuals aiming for careers as data scientists, AI researchers, or machine learning engineers. Admission requirements usually include a background in computer science or related fields, and graduates are well-prepared to tackle complex problems in industries increasingly driven by AI and automation.

B.E. in Food Technology, which normally takes 4 years to finish, concentrates on the science and engineering of food processing, preservation, and packaging. Core subjects include Food Chemistry, Food Microbiology, Food Processing Techniques, Food Engineering, Quality Control and Assurance, Nutrition, Food Safety and Regulations, and Packaging Technology. The program combines academic understanding and practical applications, providing hands-on experience through labs, projects, and internships in the food industry. Students acquire experience in the creation of safe, nutritional, and environmentally friendly food products. Graduates can work in food manufacturing, quality control, product development, research, and regulatory agencies, with opportunities available both domestically and internationally.

B.Tech. Hons. in Electrical Engineering is a 4-year undergraduate program that provides in-depth knowledge of electrical systems, circuits, and technology. This course combines theoretical concepts with practical training in areas such as power generation, transmission, electronics, control systems, telecommunications, and renewable energy sources. Students gain proficiency in designing, analyzing, and maintaining electrical equipment and systems. The curriculum also covers subjects like electrical machines, circuit theory, microelectronics, and digital systems. Along with lectures, students participate in laboratory sessions and internships to gain hands-on experience. The program also encourages research and innovation in electrical engineering applications. Graduates can pursue careers in industries like energy, telecommunications, automation, and manufacturing or continue with higher studies and research in electrical engineering.

M.Tech. in the Internet of Things (IoT) is a cutting-edge, 2-year postgraduate program designed to equip students with advanced knowledge in IoT systems, smart devices, and connected technologies. This course focuses on core areas such as IoT architecture, sensors, networks, big data, and AI applications in IoT. Students acquire expertise in designing, implementing, and managing IoT-based solutions with a blend of theoretical foundations and hands-on training. The program is ideal for individuals aiming for careers in industries like smart cities, healthcare, automotive, and industrial automation. Graduates can pursue roles such as IoT Engineer, Solution Architect, or IoT Consultant. Admission typically requires a B.Tech. or equivalent degree in relevant disciplines with qualifying marks in entrance exams.

M.Tech. in Electronics and Instrumentation Engineering is a postgraduate program typically spanning 2 years, designed to deepen knowledge in electronics, instrumentation, and control systems. This advanced course covers embedded systems, process control, sensors, signal processing, and industrial automation, blending theoretical principles with practical applications. Graduates gain expertise in designing, analyzing, and optimizing instrumentation systems, making them industry-ready for roles in manufacturing, healthcare, energy, and research. The curriculum includes lab sessions, research projects, and industry exposure, ensuring a well-rounded learning experience. With a focus on innovation and problem-solving, this program equips students with diverse career opportunities or further research pursuits in cutting-edge technologies. Applicants typically need a relevant bachelor’s degree in engineering or technology.