School of Engineering

B.Tech. Mechanical Engineering is a 4-year undergraduate curriculum that focuses on the design, manufacture, and maintenance of mechanical systems. Students study thermodynamics, fluid mechanics, materials science, and machine design. The curriculum integrates academic knowledge with practical applications via laboratory work and projects. Graduates are prepared to work in industries such as automotive, aerospace, robotics, and energy, or to further their education in specific disciplines of mechanical engineering.

B.Tech. in Computer Science and Engineering is a 4-year undergraduate degree that provides students with a solid foundation in computer science principles and engineering methods. The course content includes programming languages, algorithms, data structures, software engineering, database management, computer networks, and artificial intelligence. Students receive practical experience through projects and internships. This degree prepares graduates for professions in software development, system analysis, cybersecurity, and other technical industries, as well as advanced computing studies.

Bachelor of Technology in Electrical Engineering is a 4-year undergraduate program that provides students with knowledge and abilities in electrical systems, power generation, and electronics. The curriculum includes topics such as circuit theory, electromagnetics, power systems, control systems, and digital electronics. Students also participate in practical labs and projects. This degree prepares graduates to work in a variety of areas, including power, telecommunications, and automation. There are opportunities in electrical and electronic system research, design, manufacture, and maintenance.

B.Tech. Civil Engineering is a 4-year undergraduate curriculum that prepares students to design, build, and maintain infrastructure projects. The curriculum includes topics such as structural engineering, geotechnical engineering, transportation systems, water resource management, and environmental engineering. This course taught about how to apply mathematical and scientific principles to real-world civil engineering problems, how to use advanced software tools, and how to obtain hands-on experience through laboratory and field projects. This degree equips graduates to work in building, urban planning, and infrastructure development.

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.

Students who have earned a relevant diploma in electrical engineering or a related subject are eligible to enroll in the 3-year B.Tech. program in electrical engineering through lateral entry. Students who complete this program can start the second year of the regular B.Tech program right away. Electrical circuits, power systems, control systems, electronics, renewable energy, and electrical machine design are among the important subjects covered in the course. Through projects, laboratory work, and exposure to the industry, students acquire real-world knowledge. Graduates are prepared for jobs in automation, telecommunications, electrical design, power generation, and other areas of the electrical engineering business.

B.Tech. in Computer Science Engineering with a specialization in AI & ML is a 4-year undergraduate program designed to equip students with a strong foundation in computer science and cutting-edge technologies like Artificial Intelligence and Machine Learning. The course covers topics such as algorithms, data structures, computer networks, programming languages, data science, deep learning, neural networks, natural language processing, and AI ethics. Students gain hands-on experience through projects, internships, and lab work, focusing on the practical application of AI & ML in fields such as robotics, automation, data analytics, and predictive modeling. The program is ideal for students seeking to pursue careers in AI research, software development, data engineering, or work in emerging technologies across industries like healthcare, finance, and tech.