School of Engineering

Master of Engineering (M.E.) in Civil Engineering is typically a 1.5 to 2-year graduate program designed for students seeking advanced technical knowledge and skills in civil engineering. The curriculum often includes core courses in structural engineering, geotechnical engineering, transportation systems, and water resources management, along with electives tailored to students' interests. Many programs incorporate practical projects, research opportunities, and industry collaborations to enhance real-world applications. Some universities offer specializations in areas like sustainable infrastructure, construction management, or environmental engineering. Graduates are well-prepared for leadership roles in engineering firms, government agencies, or research institutions, with improved career prospects and the potential for higher salaries in the civil engineering field.

M.Tech. in Civil Engineering is a 2-year postgraduate degree that aims to give in-depth knowledge and advanced technical skills in structural engineering, geotechnical engineering, environmental engineering, transportation engineering, and water resources. This course combines theoretical concepts with practical applications, emphasizing research, problem-solving, and the innovative use of engineering approaches to meet real-world problems. Graduates are prepared to design and manage large-scale infrastructure projects that promote sustainable development and safety. This degree is appropriate for people who want to work in specialized civil engineering professions, research, or academia and requires a B.Tech. or equivalent in Civil Engineering for admission.

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.

 

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.

The innovative 4-year undergraduate Bachelor of Engineering (B.E.) in Artificial Intelligence & Machine Learning curriculum focuses on quickly developing fields of AI and ML. In addition to covering basic computer science concepts, this extensive course covers more specialized areas including computer vision, deep learning, neural networks, and natural language processing. To obtain real-world experience, students work on practical projects, create algorithms, handle real-world datasets. Courses on ethics in data science, robotics, artificial intelligence are frequently included in curriculum. Graduates are ready for jobs in software development, data analytics, machine learning engineering, and artificial intelligence research. With plenty of opportunity for additional specialization through postgraduate courses or industry certifications, they can pursue positions with tech giants, startups, or research organizations.

B.Tech. in Environmental Engineering is a 4-year undergraduate curriculum that prepares students for environmental concerns. The curriculum often includes topics including water and wastewater treatment, air pollution control, solid waste management, environmental impact assessment, and sustainable development. Students acquire vital engineering concepts, mathematics, and environmental legislation. The program frequently involves lab work, field trips, and a final-year project. Graduates are qualified to work in environmental consulting firms, government agencies, research organizations, and enterprises that prioritize sustainability. This degree provides a solid basis for students interested in developing novel solutions for environmental protection and resource conservation.

 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 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 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.

M.Tech. in Environmental Engineering is a 2-year postgraduate program designed to equip students with advanced knowledge and technical skills in environmental protection, sustainable development, and resource management. This course delves into areas such as water and wastewater treatment, air pollution control, solid waste management, and environmental impact assessment. It combines theoretical studies with practical applications, fostering expertise in addressing global environmental challenges. Students explore innovative technologies, environmental policies, and sustainable practices to mitigate ecological issues. The program is ideal for graduates with a background in Civil, Chemical, or Environmental Engineering, preparing them for roles in industries, research institutions, consultancy firms, and governmental organizations focused on sustainability and environmental management. It emphasizes interdisciplinary learning to create competent professionals for a greener future.

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.

A bachelor's degree in aerospace engineering, which normally takes 4 years to finish, focuses on the design, development, and maintenance of airplanes and spacecraft. Aerodynamics, aircraft structures, propulsion systems, flight mechanics, avionics, rocketry, materials science, and control systems are all core courses. Students acquire practical experience through lab work, projects, and internships at aerospace industry. The program applies mechanical, electrical, and materials engineering methods to address air and space travel issues. Graduates are equipped to work in aerospace production, design, research, aviation, defense, and space exploration. Some schools may also provide specialties in fields such as UAVs and space technologies.

A bachelor's degree in aerospace engineering, which normally takes 4 years to finish, focuses on the design, development, and maintenance of airplanes and spacecraft. Aerodynamics, aircraft structures, propulsion systems, flight mechanics, avionics, rocketry, materials science, and control systems are all core courses. Students acquire practical experience through lab work, projects, and internships at aerospace industry. The program applies mechanical, electrical, and materials engineering methods to address air and space travel issues. Graduates are equipped to work in aerospace production, design, research, aviation, defense, and space exploration. Some schools may also provide specialties in fields such as UAVs and space technologies.