School of Engineering

The B.Tech. in Data Analytics is a 4-year undergraduate degree that provides candidates a solid foundation in data science, machine learning, and business intelligence. The curriculum includes topics such as programming, data structures, database management, statistical modeling, and big data technologies. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets in order to make educated choices. Graduates of this program have the technical and analytical abilities to work as data analysts, business intelligence experts, data engineers, and data scientists in a variety of businesses, as well as to pursue further studies in data analytics.

The M.Tech. in Data Analytics is a 2-year postgraduate program that teaches students advanced skills in data mining, machine learning, predictive modeling, and business intelligence. The program includes topics such as big data technology, data visualization, prescriptive analytics, and applied statistics. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets to inform strategic decision-making. This curriculum prepares graduates for positions as data scientists, business analysts, data engineers, and analytics consultants in a variety of sectors, as well as data science research positions.

M.Tech. in Mechanical Engineering is an advanced postgraduate degree typically completed in 2 years. The program deepens students' understanding of mechanical engineering principles and applications, covering subjects like advanced thermodynamics, robotics, finite element analysis, and advanced manufacturing processes. Students engage in coursework, laboratory experiments, and a research thesis or project. The curriculum often includes electives allowing specialization in areas such as automotive engineering, aerospace systems, or energy systems. This degree enhances career prospects in industries like automotive, aerospace, energy, and manufacturing, preparing graduates for roles in research and development, design engineering, or advanced technical management positions.

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.

 

 M.Tech. in Power Systems is a 2-year postgraduate program focusing on advanced knowledge in electrical power generation, distribution, and utilization. Designed for engineering graduates with a background in Electrical or Electronics Engineering, this course covers core subjects like power electronics, smart grids, renewable energy systems, and high-voltage engineering. It includes theoretical classes, laboratory work, and research projects, preparing students for careers in energy management, power system design, and grid operation. With a blend of technical skills and research opportunities, the program suits those aiming for roles in energy companies, research institutions, or academia.

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.

 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.

 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 Digital Communication & Networking is a 2-year postgraduate program designed to equip students with advanced knowledge in digital communication systems, networking protocols, and modern communication technologies. The course covers a wide range of subjects, including wireless communication, data transmission, network security, signal processing, and communication protocols. Students will acquire expertise in the design, implementation, and optimization of communication networks, as well as hands-on experience through lab work and industry projects. The program aims to develop critical thinking, problem-solving, and research skills to prepare graduates for careers in telecommunications, IT, and academia. Graduates can pursue roles in network management, system design, research and development, and more in both public and private sectors.

 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 Cloud Computing is a postgraduate program that focuses on advanced concepts in cloud infrastructure, architecture, and services. The course typically spans 2 years, divided into 4 semesters. Students learn about various cloud platforms, virtualization, big data, network security, and cloud storage, along with practical skills in designing and managing cloud-based systems. The curriculum combines theoretical knowledge with hands-on training, preparing graduates to work in roles such as cloud architects, cloud engineers, and IT consultants. The program also covers emerging technologies such as edge computing, artificial intelligence, and machine learning as applied to the cloud. This course equips students with the necessary skills to meet the growing demand for cloud computing professionals across industries.

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.

M.Tech in Transportation Engineering is a 2-year postgraduate program that focuses on the design, development, and management of transportation systems. The course covers key areas such as traffic engineering, highway design, transportation planning, public transport systems, traffic management, and infrastructure development. Students also explore advanced topics like intelligent transportation systems (ITS), urban mobility, sustainable transport, and the environmental impact of transportation. The program integrates theoretical knowledge with practical application through projects, case studies, and internships, helping students develop expertise in solving real-world transportation challenges. Graduates of this program are equipped to work in government agencies, urban planning, transportation consultancy, and infrastructure development firms, or contribute to research and policy-making in the transportation sector.

B.Tech. in Artificial Intelligence and Data Science is a 4-year undergraduate program that focuses on the intersection of AI technologies and data analytics. The course provides a strong foundation in subjects such as machine learning, data mining, natural language processing, deep learning, and big data analytics. Students acquire expertise in developing AI-driven solutions and analyzing complex datasets to solve real-world problems. The curriculum includes programming languages, statistical methods, algorithm design, and data visualization techniques, along with hands-on experience through projects, workshops, and internships. The program also covers ethical issues in AI and data science. Graduates are well-equipped for careers in AI development, data analysis, business intelligence, and research, with opportunities in industries like technology, healthcare, finance, and e-commerce.

B.Tech. in Energy Audit and Management is a 4-year undergraduate engineering program focusing on energy efficiency, conservation, and sustainable energy solutions. The course covers topics such as energy auditing, renewable energy systems, energy efficiency in industrial processes, power systems, and environmental management. Students learn to analyze energy consumption, identify inefficiencies, and recommend sustainable practices to optimize energy use. The program includes theoretical studies, practical lab work, and industry internships to provide hands-on experience. Graduates can pursue careers as energy auditors, consultants, or sustainability managers in industries, energy firms, government agencies, and research organizations. This degree plays a crucial role in addressing global energy challenges and promoting sustainable development.