School of Engineering

M.Tech. in Information Technology is an advanced postgraduate degree that normally lasts 2 years and is intended for students and professionals looking to expand their IT knowledge. The program includes cutting-edge areas like artificial intelligence, data science, cybersecurity, cloud computing, and software engineering. Coursework frequently combines academic and practical components, with a focus on research and industry-relevant projects. Students engage in advanced labs, seminars, and a final dissertation or capstone project. This degree equips graduates with specific knowledge and skills, equipping them for leadership positions in IT, research, or a doctorate study. Many colleges provide flexible learning options, such as part-time and online courses, to accommodate working people.

Bachelor of Engineering (B.E.) in Computer Engineering is typically a 4-year undergraduate program that combines elements of computer science and electrical engineering. Students delve into hardware and software aspects of computing systems, studying subjects like programming languages, data structures, algorithms, computer architecture, digital logic design, and embedded systems. The curriculum often includes hands-on projects, laboratory work, and internships to provide practical experience. Coursework may also cover emerging technologies such as artificial intelligence, machine learning, and cybersecurity. Graduates are equipped with skills for careers in software development, hardware design, network administration, and systems engineering, or can pursue advanced studies in specialized areas of computer engineering.

Master of Engineering (M.E.) in Computer Engineering typically takes 1-2 years to complete, depending on full-time or part-time enrollment. This advanced degree program focuses on both hardware and software aspects of computer systems, covering topics such as computer architecture, embedded systems, digital signal processing, and advanced networking. Students often engage in research projects and may have the option to specialize in areas like artificial intelligence, cybersecurity, or VLSI design. The curriculum usually combines theoretical coursework with practical lab experiences, preparing graduates for leadership roles in technology development, research, and innovation within the rapidly evolving field of computer 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.

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.

Students who have earned a relevant engineering diploma or an equivalent qualification can enroll in a 2-year program called the Diploma in Electrical Engineering through Lateral Entry. Students who complete this course can start the second year of the regular diploma program right away. Electrical circuits, power systems, control systems, electronics, electrical machines, and renewable energy are among the fundamental ideas of electrical engineering that are the emphasis of the program. Through laboratory work, industry projects, and hands-on instruction, students acquire practical experience. Graduates are prepared for technical positions in manufacturing, telecommunications, electricity, and automation, as well as in electrical repair, system design, and energy management.

A 3-year undergraduate curriculum called a Diploma in Civil Engineering gives students the fundamental knowledge and abilities in civil engineering concepts and procedures. Fluid mechanics, building materials, surveying, geotechnical engineering, transportation engineering, and structural analysis are among the topics covered in the program. Through laboratory work, field trips, and hands-on training, students acquire practical expertise that equips them to help in the design, construction, and maintenance of infrastructure projects such as buildings, bridges, and roads. With opportunities in both the public and commercial sectors, the curriculum is perfect for anyone looking for jobs in design engineering, construction, or project management.

 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.