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 (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. 

B.Tech. in Computer Science & Engineering with Specialization in AI and DS is a 4-year undergraduate program that combines core computer science principles with cutting-edge artificial intelligence and data science techniques. This comprehensive curriculum covers fundamental topics like programming, algorithms, and software engineering while delving deep into machine learning, neural networks, big data analytics, and statistical modeling. Students acquire hands-on experience through projects, internships, and industry collaborations, preparing them for careers in AI research, data science, and software development. The program emphasizes problem-solving skills, ethical considerations in AI, and the practical application of advanced technologies, equipping graduates to tackle complex challenges in fields such as healthcare, finance, robotics, and autonomous systems.

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 Artificial Intelligence (AI) and Machine Learning (ML) is a 4-year undergraduate program that equips students with in-depth knowledge and skills in AI, ML, and data science. The course focuses on core areas such as machine learning algorithms, neural networks, natural language processing, robotics, computer vision, and deep learning. Students also learn programming languages like Python and tools such as TensorFlow and Keras, essential for building AI and ML models. The program emphasizes both theoretical understanding and practical applications, preparing graduates for roles in industries like healthcare, finance, robotics, and technology. The duration of the course is typically four years, divided into eight semesters, offering a blend of lectures, lab sessions, and project work for hands-on experience.

B.Tech. in Computer Engineering is a 4-year undergraduate program that combines principles of computer science and electrical engineering to equip students with the knowledge and skills to design, develop, and maintain computer systems and software. The course covers topics such as computer architecture, programming languages, data structures, algorithms, operating systems, artificial intelligence, networking, and cybersecurity. Students gain practical experience through lab work, projects, and internships, focusing on problem-solving and critical thinking in technology development. The program prepares graduates for a wide range of careers in software engineering, systems development, data analysis, IT consultancy, and research. Graduates can work in industries such as technology, telecommunications, finance, and manufacturing or pursue higher studies in computer engineering or related fields.

M.Tech. in Computer Engineering is a 2-year postgraduate program that focuses on advanced topics in computer science, engineering, and technology. The course covers areas such as computer networks, software engineering, artificial intelligence, machine learning, data structures, algorithms, and computer architecture. Students gain in-depth knowledge of both theoretical concepts and practical applications, preparing them for high-level roles in the tech industry. The program emphasizes research, problem-solving, and hands-on experience through projects, lab work, and internships. Graduates can pursue careers as software engineers, network architects, data scientists, or researchers in academia or industry, working in sectors such as information technology, cybersecurity, telecommunications, and artificial intelligence. The program also offers opportunities for specialization in emerging fields like cloud computing and big data analytics.