School of Engineering

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 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.

M.Tech. in Civil Engineering is a 2-year postgraduate degree that aims to give in-depth knowledge and advanced technical skills in structural engineering, geotechnical engineering, environmental engineering, transportation engineering, and water resources. This course combines theoretical concepts with practical applications, emphasizing research, problem-solving, and the innovative use of engineering approaches to meet real-world problems. Graduates are prepared to design and manage large-scale infrastructure projects that promote sustainable development and safety. This degree is appropriate for people who want to work in specialized civil engineering professions, research, or academia and requires a B.Tech. or equivalent in Civil Engineering for admission.

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.

 

M.Tech. in Mining Engineering is a 2-year postgraduate program designed to deepen knowledge and skills in the exploration, extraction, and processing of minerals. This course covers advanced topics such as mine design, environmental impact assessment, mineral processing, and rock mechanics, combining theoretical learning with practical applications. Students acquire insights into sustainable mining practices, safety management, and the latest technology in the field. Graduates are well-prepared for careers in mining industries, research, and academia, with opportunities to work as mine planners, consultants, or safety officers in both private and government sectors.

 B.Tech. in Mining Engineering is a 4-year undergraduate program that focuses on the science and technology of mineral exploration and extraction. This course covers subjects like mine safety, rock mechanics, drilling, and mineral processing, as well as environmental aspects of mining. Students gain both theoretical knowledge and practical skills in mining operations, resource management, and geological surveying. The program typically includes hands-on training through internships and field visits, preparing graduates for roles in mining firms, consultancy, and research. Career opportunities are available in sectors like coal, metal, and oil industries, along with positions in environmental management and sustainability.

 M.Tech. in Electronics and Communication Engineering is a 2 year postgraduate degree that aims to provide advanced knowledge of electronics and communication systems. The course is divided into four semesters and includes topics like as wireless communication, embedded systems, VLSI design, signal processing, and microwave engineering. It integrates theoretical concepts with practical applications via lab work, projects, and research possibilities. This curriculum is perfect for students who want to specialize in cutting-edge technology, preparing them for careers in research, development, and industries such as telecommunications, electronics, and automation. It also serves as a stepping stone toward PhD studies and academic positions.

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 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.