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.

B.Tech. in Electronics and Communication Engineering is a 4-year undergraduate degree that teaches electronics, telecommunications, and information technology principles. Students study circuit design, signal processing, wireless communications, and embedded systems. The curriculum includes both theoretical principles and practical applications, equipping graduates for positions in telecommunications, the semiconductor sector, and IoT. This adaptable degree provides students with abilities in both hardware and software development, making them important assets in today's fast changing technological scene.

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. 

M.Tech. in Robotics and Automation is a two-year postgraduate program that equips students with cutting-edge knowledge and abilities in fast-expanding domains such as robotics and automation. This intensive course normally lasts four semesters and covers a wide range of topics, including robot kinematics and dynamics, machine learning, computer vision, control systems, and artificial intelligence. Students engage in hands-on projects, laboratory work, and research, which generally culminate in a thesis or capstone project. The training program trains graduates to work in fields such as manufacturing, healthcare, aerospace, and autonomous systems, where they'll design, develop, and execute novel robotic solutions. With the growing demand for automation in various industries, this degree provides good employment prospects and industries, this degree provides good employment prospects as well as opportunities for additional research and development in the field.

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.

 

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.

 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.