School of Engineering

B.Tech. in Automobile Engineering is a 4-year undergraduate program that focuses on the design, development, manufacturing, and maintenance of vehicles. Students learn about automotive systems, engine technology, vehicle dynamics, and materials science. The curriculum combines theoretical knowledge with practical skills through laboratory work and industry internships. Courses cover subjects like thermodynamics, fluid mechanics, automotive electronics, and vehicle design. Graduates are equipped for careers in automotive manufacturing, research and development, and maintenance sectors. The program also emphasizes emerging technologies like electric and autonomous vehicles, preparing students for the evolving automotive industry. Strong problem-solving and analytical skills are developed throughout the course.

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.

 

Computer science and information technology are combined in the 4-year undergraduate Bachelor of Engineering (B.E.) in Information Science & Engineering degree. Data structures, algorithms, database management systems, computer networks, and software engineering are among the fundamental topics covered here. Additionally, students investigate cutting-edge disciplines including big data analytics, machine learning, and artificial intelligence. To give students real experience, the curriculum frequently includes industry internships in addition to programming assignments and practical labs. Graduates are ready for jobs in cybersecurity, data science, software development, and IT consulting. With plenty of opportunity for additional specialization through postgraduate courses or industry certifications, they can pursue careers as database administrators, system analysts, or software engineers.

An advanced 2-year PG degree that explores the design, analysis, and maintenance of structural systems is the Master of Technology (M.Tech.) in Structural Engineering. Advanced subjects like finite element analysis, seismic engineering, advanced concrete technology, and structural dynamics are covered over here. To obtain real-world experience, students work in labs, conduct research projects, and frequently take part in industrial partnerships. Advanced structural design, computational techniques, and emerging building technologies are frequently covered in the curriculum. Graduates are prepared for positions in government organizations, construction corporations, research institutes, and structural design firms. With chances for more specialization through doctoral studies or professional certificates, they can work as structural engineers, consultants, or researchers.

The 4-year undergraduate Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering degree integrates concepts of electronic systems and electrical engineering. Circuit theory, power and control systems, digital electronics, and microprocessors are just few of the topics covered over here. Through design projects, laboratory work, and frequently finishing industry internships, students obtain practical experience. Modules on cutting-edge technology like robots, IoT, and renewable energy systems are frequently included in curriculum. Graduates are equipped for jobs in various  fields, like automation, consumer electronics, telecommunications, and power generation and distribution. With an emphasis on creativity, problem-solving abilities, and sustainable practices, the program prepares students to tackle today's issues in smart grids, energy efficiency, and electronic device design.

M.Tech. in Nanotechnology is a postgraduate program designed to provide in-depth knowledge and skills in the emerging field of nanoscience and nanotechnology. Typically spanning 2 years, the course covers subjects like nanomaterials, nanoelectronics, nanobiotechnology, and nanomedicine. Students engage in both theoretical learning and practical applications, including laboratory research, to understand the behavior of materials at the nanoscale and their potential in various industries, such as electronics, healthcare, and energy. Graduates are equipped to pursue careers in research, development, and innovation, contributing to advancements in technology, medicine, and environmental sustainability. The program often involves a thesis or project work to develop expertise in a specific area.

B.Tech. in Aerospace Engineering is a 4-year undergraduate program designed to equip students with knowledge and skills in designing, developing, and testing aircraft, spacecraft, and related systems. The course covers aerodynamics, propulsion systems, avionics, material sciences, and structural analysis. Students gain hands-on experience through laboratory experiments, internships, and projects focused on modern aerospace technologies. The curriculum integrates principles of physics, mathematics, and engineering, preparing students for careers in aviation, space exploration, defense, and research organizations. Graduates can work as aerospace engineers, flight mechanics specialists, or system analysts, contributing to cutting-edge advancements in the aerospace sector. The program also lays a solid foundation for higher studies in specialized areas of aerospace engineering.

 M.Tech. in Construction Engineering and Management is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in construction management, project planning, and execution. The course covers key areas such as construction techniques, contract management, construction economics, project risk management, and sustainable construction practices. Students will also acquire expertise in using modern tools and technologies for effective project management, including software for scheduling, cost estimation, and quality control. The program blends theoretical learning with practical experience through internships, industry projects, and case studies. Graduates of this program are well-prepared for leadership roles in the construction industry, managing large-scale projects and ensuring timely, cost-effective, and safe completion.

 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.

B.Tech. in Cloud Computing is a  4-year undergraduate program that focuses on the study of cloud computing technologies, services, and solutions. The course covers various aspects of cloud architecture, cloud security, data management, virtualization, and cloud-based application development. Students learn to design, deploy, and manage cloud services and gain proficiency in platforms like AWS, Google Cloud, and Microsoft Azure. The program emphasizes hands-on learning, problem-solving, and the development of scalable and efficient cloud infrastructure. Graduates of this program are equipped to pursue careers as cloud engineers, cloud architects, DevOps engineers, and system administrators in various industries, such as IT, finance, and healthcare, making it a highly sought-after course in today’s tech-driven world.

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.

M.Tech. in Manufacturing Engineering is a 2 year postgraduate program designed to provide advanced knowledge and skills in manufacturing processes, systems, and technologies. It focuses on areas such as material science, industrial automation, robotics, advanced manufacturing techniques, and quality control. The course aims to equip students with the expertise to optimize manufacturing operations, improve production efficiency, and implement innovative solutions in industries. Through a combination of theoretical studies and practical applications, students gain a deep understanding of the latest trends in manufacturing technologies. The program prepares graduates for leadership roles in the manufacturing industry, research and development, and teaching, making it an ideal choice for those seeking to advance their careers in manufacturing engineering.

M.Tech. in Aerospace Engineering is a 2-year postgraduate program designed to provide advanced knowledge and skills in the design, development, and testing of aircraft and spacecraft. The course covers a broad range of subjects, including aerodynamics, propulsion systems, aircraft structures, flight mechanics, avionics, and space exploration. Students learn about the principles of flight, aerospace materials, control systems, and computational fluid dynamics, applying them to both civil and military aviation as well as space technology. The program typically includes practical laboratory sessions, research projects, and internships in collaboration with aerospace industries or research institutions. Graduates can pursue careers in aerospace companies, defense organizations, space agencies, or academia, contributing to the advancement of aviation and space exploration technologies.