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The mission of the M.Tech in Computer Engineering program is to equip students with a profound understanding of advanced computing techniques, technologies, and tools to design, develop, and innovate rapidly. This program is dedicated to fostering the next generation of computer engineers who are capable of addressing global challenges, driving technological advancements, and contributing to groundbreaking innovations across a variety of industries. Through a rigorous curriculum, students will gain expertise in both hardware and software aspects of computing, including computer architecture, embedded systems, algorithms, data structures, artificial intelligence, machine learning, cybersecurity, and distributed systems.
The vision of the M.Tech in Computer Engineering program is to be a global leader in providing cutting-edge education and research in the field of computer engineering, producing highly skilled professionals who drive technological innovations and shape the future of computing. The program aspires to be at the forefront of advancements in computer systems, software engineering, artificial intelligence, machine learning, and data science, while fostering interdisciplinary collaboration across industries. We envision a program that prepares students to lead in developing and implementing transformative technologies that address global challenges, from smart cities and automation to cybersecurity and sustainable computing.
Co-ordinator, Department of Computer Engineering
The M.Tech in Computer Engineering is an advanced postgraduate program designed to provide students with deep technical expertise in the design, development, and implementation of computer systems and software technologies. This program focuses on both the hardware and software aspects of computer engineering, with a strong emphasis on emerging technologies, cutting-edge research, and practical applications in real-world scenarios.
The curriculum offers a comprehensive foundation in advanced topics such as computer architecture, algorithms, embedded systems, operating systems, artificial intelligence (AI), machine learning, cybersecurity, big data, and distributed computing. Students will gain proficiency in designing and optimizing complex computing systems, developing scalable software solutions, and addressing critical issues related to system performance, security, and data management. The program integrates theoretical learning with hands-on experience through laboratory sessions, practical assignments, and industry-based projects. Students will be trained in modern software tools, programming languages, and simulation platforms, equipping them with the skills needed to work with the latest technologies in cloud computing, Internet of Things (IoT), data analytics, and smart systems.
Apply advanced knowledge of computer architecture and hardware-software integration to design, analyze, and optimize complex computer systems for various applications.
Create efficient, scalable, and maintainable software systems using advanced programming languages, algorithms, and development methodologies to meet industry demands.
Demonstrate proficiency in emerging technologies such as artificial intelligence (AI), machine learning, big data analytics, and Internet of Things (IoT), and their practical applications in real-world systems.
Use advanced problem-solving techniques to identify, formulate, and solve complex computing and engineering problems, applying knowledge from multiple domains like cybersecurity, distributed computing.
