School of Engineering

M.Tech. in Industrial Engineering is a postgraduate program that focuses on optimizing complex processes, systems, and organizations. The course covers subjects such as operations research, supply chain management, manufacturing systems, quality control, and ergonomics. It aims to equip students with advanced knowledge and skills to improve efficiency, productivity, and decision-making in industries. The typical course duration is 2 years, consisting of four semesters, with both theoretical learning and practical training. Graduates of this program are prepared for roles in operations management, process optimization, systems engineering, and consultancy across various sectors like manufacturing, logistics, and service industries.

M.Tech. in Software Engineering is a postgraduate course designed to provide in-depth knowledge and skills in software development, design, and management. Typically spanning 2 years, this program equips students with advanced techniques in areas such as software architecture, programming languages, database management, and software testing. It emphasizes both theoretical concepts and practical applications, preparing graduates for leadership roles in the IT industry. Students engage in hands-on projects, research, and internships, ensuring they are industry-ready. The curriculum also covers emerging technologies like artificial intelligence, cloud computing, and machine learning. Upon completion, graduates can pursue careers as software engineers, system architects, or project managers, with the ability to handle complex software solutions and lead development teams effectively.

 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.

Master of Technology (M.Tech) in Geoinformatics is a postgraduate program designed to equip students with advanced knowledge and skills in the field of geospatial technology and applications. This interdisciplinary course focuses on Geographic Information Systems (GIS), Remote Sensing, Global Navigation Satellite Systems (GNSS), and data modeling for solving real-world problems in areas like urban planning, disaster management, environmental monitoring, and natural resource management. The program typically spans 2 years, divided into 4 semesters, and includes a mix of theoretical classes, practical sessions, and research projects. Graduates of this course are well-prepared for careers in academia, government agencies, private sector organizations, or further research in geoinformatics and related domains.

M.Tech. in Material Science and Technology is a 2-year postgraduate program that focuses on the development and application of materials with advanced properties for various industries. The course covers a wide range of topics, including material characterization, nanotechnology, biomaterials, polymers, ceramics, and composites. Students learn to understand the structure, properties, and performance of materials, and how to design and innovate for specific applications in sectors such as aerospace, electronics, automotive, and energy. The program integrates theoretical coursework with hands-on laboratory work, research projects, and industry internships, providing students with practical experience in material development. Graduates can pursue careers in material engineering, research, and development, product design, and quality control, or continue with further academic research in the field.

M.Tech. in Renewable Engineering is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in renewable energy technologies. The course focuses on sustainable energy solutions, including solar, wind, hydroelectric, geothermal, and bioenergy systems. Students gain expertise in energy conversion, power generation, grid integration, energy storage, and environmental impact assessment. The program also covers areas such as energy efficiency, clean energy policies, and the economics of renewable energy. Practical experience is emphasized through research, project work, and internships in collaboration with industry partners. Graduates of this program can work in renewable energy research, energy consulting, power plants, environmental agencies, or government organizations, contributing to the global transition towards sustainable and eco-friendly energy systems.

M.Tech. in the Internet of Things (IoT) is a cutting-edge, 2-year postgraduate program designed to equip students with advanced knowledge in IoT systems, smart devices, and connected technologies. This course focuses on core areas such as IoT architecture, sensors, networks, big data, and AI applications in IoT. Students acquire expertise in designing, implementing, and managing IoT-based solutions with a blend of theoretical foundations and hands-on training. The program is ideal for individuals aiming for careers in industries like smart cities, healthcare, automotive, and industrial automation. Graduates can pursue roles such as IoT Engineer, Solution Architect, or IoT Consultant. Admission typically requires a B.Tech. or equivalent degree in relevant disciplines with qualifying marks in entrance exams.