School of Engineering

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.

M.Tech. in VLSI System Design is a 2-year postgraduate program that focuses on designing and developing Very Large Scale Integration (VLSI) systems. This advanced course includes topics including digital system design, analog integrated circuits, semiconductor devices, CMOS technology, and electronic design automation (EDA) tools. Students had hands-on experience with chip design, simulation, and testing, preparing them for semiconductor industry careers. The curriculum frequently covers topics such as digital signal processing, embedded systems, and FPGA-based system design. Graduates have the ability to work as VLSI design engineers, verification engineers, or research and development specialists in organizations that manufacture microprocessors, memory devices, and other integrated circuits.

The B.Tech. in VLSI System Design is a 4-year undergraduate curriculum that covers every aspect of designing and developing very large-scale integrated (VLSI) circuits and systems. The program involves topics including digital logic design, semiconductor device physics, CMOS technology, CAD tools, and system-on-chip (SoC) design. Students acquire the skills to design, simulate, and fabricate complex VLSI systems for application in electronics, telecommunications, and embedded systems through hands-on projects, laboratory sessions, and industry internships. Graduates of this program are ready to work as VLSI design engineers, IC layout specialists, CAD tool developers, and research associates in the rapidly evolving field of microelectronics and semiconductor technologies.

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.

 

Students who complete the 4-year undergraduate Bachelor of Engineering (B.E.) in Electronics and Communication Engineering degree will have a solid foundation in electronic systems and communication technology. Digital electronics, signal processing, microprocessors, wireless communication, and network engineering are just a few of the topics covered in this extensive course. To obtain practical experience, students participate in projects, internships, and practical laboratory work. Emerging technologies like 5G, IoT, and AI applications in communications are frequently covered in the curriculum. Graduates are ready for jobs in consumer electronics, IT, semiconductors, and telecommunications. With the option to further specialize through postgraduate study, they can work as communication systems designers, network administrators, or hardware engineers.

M.Tech. in Machine Learning is a specialized postgraduate program designed to equip students with advanced skills in machine learning, artificial intelligence, and data science. Typically spanning 2 years, the course covers core subjects such as statistical learning, deep learning, reinforcement learning, natural language processing, and algorithm design. Students gain hands-on experience in building models, data analysis, and implementing machine learning algorithms across various domains like healthcare, finance, and robotics. The program is ideal for individuals aiming for careers as data scientists, AI researchers, or machine learning engineers. Admission requirements usually include a background in computer science or related fields, and graduates are well-prepared to tackle complex problems in industries increasingly driven by AI and automation.