School of Engineering

B.Tech. in Mechatronics is a 4-year undergraduate program that integrates mechanical, electrical, and computer engineering disciplines. This interdisciplinary field focuses on designing and developing intelligent systems and automated devices. Students learn about robotics, control systems, sensors, actuators, and embedded systems. The curriculum typically includes courses in mechanical design, electronics, programming, and system integration. Practical projects and laboratory work are essential components, allowing students to apply theoretical knowledge to real-world problems. Graduates are well-equipped for careers in industries such as automation, robotics, aerospace, and manufacturing, where they can design and maintain complex electromechanical systems. The program prepares students for roles in research, development, and innovation across various technological sectors.

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.

Students who have earned a relevant diploma in engineering or a related subject are eligible to enroll in the 3-year B.Tech. program in mechanical engineering through lateral entry. Students who complete this program can start the second year of the regular B.Tech program right away. Key topics in mechanical engineering are covered throughout the course, such as fluid mechanics, manufacturing processes, materials science, robotics, thermodynamics, and machine mechanics. Through projects, industry training, and laboratory work, students acquire real-world experience. Graduates are prepared for jobs in design and production positions in sectors like automotive, aerospace, manufacturing, energy, and automation.

The 3-year B.Tech. in Civil Engineering through Lateral Entry program is intended for students who have earned an equivalent degree or a comparable engineering diploma. With an emphasis on advanced topics in structural engineering, geotechnical engineering, building materials, transportation engineering, and environmental engineering, the course enables students to start the second year of the conventional B.Tech. program right away. The curriculum blends classroom instruction with practical training through design projects, site visits, and laboratory work. With prospects in both public and private sector engineering businesses, graduates are prepared to engage in urban planning, construction management, and infrastructure development.

 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 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.

B.Tech. in Electronics & Communication Engineering (Lateral Entry) is a specialized course designed for diploma holders who wish to pursue an engineering degree. This program offers students a direct entry into the second year of the B.Tech. program, allowing them to build on their existing technical knowledge. The duration of the course is typically 3 years, depending on the university or institution. Students are trained in areas such as digital electronics, microprocessors, communication systems, signal processing, and networking. The course aims to equip students with the necessary skills for designing, developing, and maintaining electronic and communication systems. Graduates can pursue careers in telecommunications, IT, electronics, and other related fields.

 M.Tech. in Mechatronics is a multidisciplinary postgraduate program that integrates principles from mechanical engineering, electronics, computer science, and control systems. Designed for a duration of 2 years, this course equips students with advanced knowledge and skills in robotics, automation, microprocessors, and intelligent systems. It emphasizes practical learning through laboratory experiments, projects, and industry internships, preparing graduates to solve complex engineering challenges. With applications in industries such as automotive, aerospace, manufacturing, and healthcare, mechatronics professionals are in high demand globally. The curriculum includes modules on advanced robotics, embedded systems, sensor technology, and artificial intelligence, fostering innovation and research capabilities. Graduates can pursue careers as robotics engineers, automation specialists, or researchers in cutting-edge technological domains.

M.E. in Computer Science & Engineering (Lateral Entry) is a 2-year postgraduate program designed for students who have completed a B.E. or B.Tech in Computer Science or a related field. The program focuses on advanced topics in computer science, such as data structures, algorithms, artificial intelligence, machine learning, software engineering, cybersecurity, and database management systems. Students acquire in-depth knowledge of modern computing technologies, programming, and problem-solving skills required to design and develop sophisticated software solutions. The course also includes research work, projects, and practical lab sessions to enhance technical expertise. With the lateral entry option, students can directly join the second year, accelerating their education. Graduates are prepared for careers in software development, research, IT consulting, and higher studies in computer science and engineering.

 B.Tech. in Artificial Intelligence (AI) - Lateral Entry is a specialized undergraduate program designed for students who have completed a diploma in engineering or have equivalent qualifications. The course typically spans 3 years and focuses on advanced AI concepts, machine learning, deep learning, robotics, data science, and natural language processing. Students gain in-depth knowledge of algorithms, programming languages, AI frameworks, and real-world applications in fields like automation, healthcare, finance, and robotics. The program emphasizes both theoretical understanding and practical implementation, with opportunities for hands-on projects, internships, and industry collaborations. Upon completion, graduates can pursue careers as AI engineers, data scientists, or machine learning specialists in a wide range of industries, contributing to AI-driven innovations and solutions.

B.Tech. in Data Science (Lateral Entry) is a 3-year undergraduate program designed for students who have already completed a diploma in a related field. This course allows students to directly enter the second year of the B.Tech. program, bypassing the initial two years. It focuses on equipping students with a strong foundation in data analysis, machine learning, big data technologies, data visualization, and programming languages such as Python and R. The curriculum integrates both theoretical knowledge and practical skills, with an emphasis on data-driven decision-making, analytics, and problem-solving techniques. Graduates of this program can pursue careers as data scientists, analysts, machine learning engineers, and business intelligence specialists, in various sectors such as technology, healthcare, finance, and government.

B.Tech. in Mechatronics – Lateral Entry is a specialized 3-year undergraduate program designed for students who have completed a diploma in engineering or a related field. This program integrates mechanical, electrical, and computer engineering principles to design, develop, and maintain smart systems and automation processes. Core subjects include robotics, control systems, sensors, machine design, and embedded systems. The course equips students with both theoretical knowledge and practical skills through hands-on projects, labs, and industry exposure. Graduates can pursue careers in robotics, automation, aerospace, automotive, and manufacturing sectors, taking on roles such as design engineers, automation engineers, and robotics specialists. This program offers excellent opportunities in the rapidly growing field of mechatronics.