School of 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 CSE (Cyber Security) is a 4-year undergraduate program that combines computer science and engineering with a concentration on cybersecurity. The curriculum includes core computer science ideas, programming languages, and network security, as well as more advanced topics such as cryptography, ethical hacking, and digital forensics.This course taught us about how to secure computer systems, networks, and data against cyber attacks. The program also offers hands-on training, projects, and internships to prepare students for careers in cybersecurity, information security, and related sectors.

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.

The Bachelor of Technology in Robotics and Automation is a 4-year undergraduate degree that provides learners with knowledge about the design, development, and integration of robotic systems and automated technologies. The program includes topics such as mechatronics, control systems, computer vision, machine learning, and industrial automation. Students acquire the knowledge to build, program, and implement intelligent robotic systems for use in manufacturing, healthcare, transportation, and other industries through hands-on projects, laboratory sessions, and industrial internships. Graduates of this program have the skills to work as robotics engineers, automation specialists, control system designers, and research associates in the rapidly expanding field of robotics and automation.

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.

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.

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.