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 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. 

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 Information Technology is a 4-year undergraduate degree program that integrates computer science, software engineering, and information systems. The curriculum encompasses topics such as programming, data structures, algorithms, computer networks, database administration, and emerging technologies. Graduates acquire the necessary technical skills and problem-solving ability to design, implement, and maintain information systems and software applications. The curriculum prepares students for a variety of IT jobs, such as software development, web development, system management, and data analysis.

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.

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.

 

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.

 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.