School of Engineering

M.Tech. in Thermal Engineering is a 2 year postgraduate degree that covers advanced topics in heat transport, fluid mechanics, and energy systems. The curriculum includes topics including thermodynamics, combustion, heat exchangers, renewable energy, HVAC systems, and thermal system design. Students participate in research projects, simulations, and lab work to gain practical knowledge of thermal processes and energy efficiency. The curriculum trains graduates for professions in fields such as energy, manufacturing, automotive, and aerospace, where heat management is vital. Admission normally needs a B.Tech. in Mechanical, Civil, or allied engineering fields, as well as a solid understanding of thermodynamics.

 

 M.Tech. in Electronics and Communication Engineering is a 2 year postgraduate degree that aims to provide advanced knowledge of electronics and communication systems. The course is divided into four semesters and includes topics like as wireless communication, embedded systems, VLSI design, signal processing, and microwave engineering. It integrates theoretical concepts with practical applications via lab work, projects, and research possibilities. This curriculum is perfect for students who want to specialize in cutting-edge technology, preparing them for careers in research, development, and industries such as telecommunications, electronics, and automation. It also serves as a stepping stone toward PhD studies and academic positions.

B.Tech. in Computer Science Engineering with a specialization in AI & ML is a 4-year undergraduate program designed to equip students with a strong foundation in computer science and cutting-edge technologies like Artificial Intelligence and Machine Learning. The course covers topics such as algorithms, data structures, computer networks, programming languages, data science, deep learning, neural networks, natural language processing, and AI ethics. Students gain hands-on experience through projects, internships, and lab work, focusing on the practical application of AI & ML in fields such as robotics, automation, data analytics, and predictive modeling. The program is ideal for students seeking to pursue careers in AI research, software development, data engineering, or work in emerging technologies across industries like healthcare, finance, and tech.

M.Tech. in Computer Science and Engineering (Computational and Data Science) is a 2-year postgraduate program that combines advanced computer science concepts with data-driven problem-solving techniques. The course covers subjects such as machine learning, big data analytics, high-performance computing, data mining, cloud computing, and computational modeling. Students acquire expertise in designing algorithms, analyzing complex datasets, and developing scalable software solutions for real-world challenges. The program integrates theoretical learning with hands-on projects, industry internships, and research opportunities to equip students with practical skills. Graduates are well-prepared for careers in data science, artificial intelligence, software development, research, and analytics roles across industries like technology, finance, healthcare, and more. This program bridges computational sciences and cutting-edge data technologies.

M.Tech. in Electrical Power Engineering is a specialized postgraduate program designed to provide in-depth knowledge and advanced skills in the field of electrical power systems, generation, transmission, and distribution. The course duration is typically 2 years, during which students explore topics such as power system analysis, renewable energy, electrical machines, power electronics, and control systems. The program is ideal for those aiming to pursue careers in power generation companies, electrical industries, or research and development in the power sector. Students gain both theoretical knowledge and practical experience through laboratory work, projects, and internships. The curriculum focuses on modern technologies in energy systems, preparing graduates to address the global demand for sustainable energy solutions and efficient power management.

 B.Tech. in Computer Science Engineering (CSE) with a specialization in Internet of Things (IoT), Cyber Security, and Blockchain Technology is a 4-year undergraduate program designed to equip students with advanced knowledge and practical skills in these cutting-edge fields. The course covers topics such as IoT systems, network security, cryptography, blockchain algorithms, and smart contracts, preparing graduates for careers in the rapidly evolving tech landscape. With a blend of theoretical foundations and hands-on training, students will explore the integration of IoT devices, secure data transmission, and decentralized ledger technologies. This program emphasizes problem-solving, programming, and security measures essential for developing innovative solutions in the digital world. Upon completion, students will be well-prepared for roles in IoT development, cyber defense, blockchain development, and more.

B.Tech in Computer Science Engineering (CSE) with Specialization in Data Science (Collaboration with SAS) is a 4-year undergraduate program designed for aspiring data scientists and tech professionals. This program combines core computer science principles with advanced data analytics, machine learning, and AI techniques, offering students hands-on experience with SAS tools and real-world datasets. The curriculum includes subjects like Big Data, Python Programming, and Predictive Modeling, ensuring industry readiness. With opportunities for internships, live projects, and workshops led by SAS experts, students gain practical insights into data-driven decision-making. Graduates are equipped for careers in data analytics, software development, and AI, with global placement opportunities in top tech companies and startups.

B.Tech. in Computer Science and Engineering (CSE) with a specialization in Cloud Computing, offered in collaboration with IBM, is a 4-year undergraduate program designed to equip students with in-demand skills in cloud infrastructure, deployment, and management. The curriculum integrates foundational computer science principles with advanced topics like virtualization, cloud architecture, storage solutions, and big data analytics. Students benefit from hands-on training, real-world projects, and access to IBM’s industry-standard tools and platforms. Graduates are prepared for roles such as Cloud Engineer, DevOps Specialist, and Solutions Architect, with the potential to work in diverse sectors like IT, finance, healthcare, and retail. This program is ideal for those seeking a tech-driven career with cutting-edge expertise in cloud computing technologies.

 M.Tech. in Computer Science and Engineering (Big Data) is a specialized postgraduate program designed to equip students with advanced knowledge and skills in big data analytics, machine learning, and data engineering. This two-year course typically spans 4 semesters, combining theoretical concepts with hands-on experience in data-driven technologies. Students learn to analyze large datasets, design scalable algorithms, and work with cutting-edge tools like Hadoop, Spark, and Python. The program prepares graduates for high-demand roles such as Data Scientist, Big Data Engineer, and AI Specialist in industries like IT, finance, healthcare, and more. Applicants must hold a B.Tech./B.E. in CSE or a related field, with some institutions requiring GATE scores for admission.

M.Tech. in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence and Machine Learning (AIML) is a 2-year postgraduate program designed for aspiring AI and ML professionals. This course focuses on advanced computational theories, machine learning algorithms, deep learning, data analytics, and AI-driven technologies. Students gain expertise through a blend of theoretical foundations and hands-on projects in cutting-edge labs. With applications in diverse fields like healthcare, finance, robotics, and natural language processing, this program equips graduates with skills to solve real-world problems using AI and ML. Ideal for tech enthusiasts and researchers, it opens career opportunities as data scientists, AI engineers, and ML specialists in leading industries and academic institutions.