School of Engineering

M.Tech. in Information Technology is an advanced postgraduate degree that normally lasts 2 years and is intended for students and professionals looking to expand their IT knowledge. The program includes cutting-edge areas like artificial intelligence, data science, cybersecurity, cloud computing, and software engineering. Coursework frequently combines academic and practical components, with a focus on research and industry-relevant projects. Students engage in advanced labs, seminars, and a final dissertation or capstone project. This degree equips graduates with specific knowledge and skills, equipping them for leadership positions in IT, research, or a doctorate study. Many colleges provide flexible learning options, such as part-time and online courses, to accommodate working people.

 B.Tech. in Chemical Engineering is a 4-year undergraduate program that equips students with the knowledge and skills to design, develop, and optimize chemical processes and products. The curriculum typically covers subjects such as thermodynamics, fluid mechanics, heat transfer, mass transfer, reaction engineering, and process control. Students also study mathematics, physics, and chemistry as foundational courses. Throughout the program, practical laboratory work and industrial internships provide hands-on experience. Graduates are prepared for careers in various industries, including petrochemicals, pharmaceuticals, food processing, and environmental engineering. The degree emphasizes problem-solving, critical thinking, and innovation, enabling students to address complex challenges in chemical manufacturing and sustainable technologies.

 B.Tech. in Biomedical Engineering is typically a 4-year undergraduate program that combines principles of engineering with medical and biological sciences. Students learn to design and develop innovative medical devices, imaging systems, and biotechnology solutions. The curriculum covers subjects like biomechanics, bio instrumentation, medical imaging, biomaterials, and tissue engineering. Coursework often includes practical laboratory experiences, internships, and capstone projects. Graduates are prepared for careers in healthcare technology, medical device industries, research institutions, and hospitals. They may work on developing prosthetics, designing diagnostic equipment, or creating software for medical applications. This interdisciplinary field offers opportunities for further specialization through postgraduate studies or research.

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.

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.

Students who complete a 3-year program leading to a diploma in mechanical engineering gain a foundational understanding of mechanical engineering concepts and procedures. Important topics covered in the curriculum include manufacturing processes, automation, fluid mechanics, thermodynamics, material science, and mechanical design. Through lab work, workshops, and industrial training, students also obtain real-world experience that equips them for applications in a variety of sectors. The curriculum aims to give students the abilities required for jobs in quality control, production, maintenance, and mechanical design. Graduates can work in industries like manufacturing, energy, automotive, and aerospace.

 

Students who have earned a relevant engineering diploma or an equivalent qualification can enroll in a 2-year program called the Diploma in Electrical Engineering through Lateral Entry. Students who complete this course can start the second year of the regular diploma program right away. Electrical circuits, power systems, control systems, electronics, electrical machines, and renewable energy are among the fundamental ideas of electrical engineering that are the emphasis of the program. Through laboratory work, industry projects, and hands-on instruction, students acquire practical experience. Graduates are prepared for technical positions in manufacturing, telecommunications, electricity, and automation, as well as in electrical repair, system design, and energy management.

A 4-year undergraduate degree called a B.Tech. in Electrical Engineering with a concentration on Artificial Intelligence (AI) and Electric Vehicles (EV) combines fundamental electrical engineering principles with cutting-edge AI and sustainable transportation technology. Power systems, control systems, electrical circuits, machine learning, artificial intelligence (AI) algorithms, electric vehicle (EV) technology, and renewable energy systems are among the topics covered in the program. Additionally, students have practical experience creating automation, smart systems, and EV parts including drivetrains and batteries. Graduates of the program are prepared for jobs in smart grid technology, electric vehicle design, AI-driven electrical applications, and the expanding sustainable energy and transportation sector.

A 3-year undergraduate curriculum called a Diploma in Civil Engineering gives students the fundamental knowledge and abilities in civil engineering concepts and procedures. Fluid mechanics, building materials, surveying, geotechnical engineering, transportation engineering, and structural analysis are among the topics covered in the program. Through laboratory work, field trips, and hands-on training, students acquire practical expertise that equips them to help in the design, construction, and maintenance of infrastructure projects such as buildings, bridges, and roads. With opportunities in both the public and commercial sectors, the curriculum is perfect for anyone looking for jobs in design engineering, construction, or project management.

The Diploma in Electronics and Communication Engineering is a 3 year program designed to provide foundational knowledge and practical skills in electronics and communication systems. The course is divided into six semesters, covering topics such as circuit design, digital electronics, microprocessors, communication systems, and instrumentation. With a focus on hands-on training through labs and projects, students gain expertise in assembling, maintaining, and troubleshooting electronic devices and communication networks. This program is ideal for those seeking entry-level positions in industries like telecommunications, consumer electronics, and automation or pursuing further studies in engineering. It equips students with the skills for a successful technical career.

M.Tech. in Biomedical Engineering is a 2-year postgraduate program that combines engineering principles with medical and biological sciences to develop innovative healthcare solutions. This course focuses on areas such as medical imaging, biomaterials, biomechanics, bioinformatics, and medical device design. Students gain both theoretical knowledge and practical experience through laboratory work, projects, and internships in collaboration with healthcare institutions. The program is designed to equip graduates with the skills needed to address complex biomedical challenges, enhancing the design and implementation of medical technologies. Upon completion, students are prepared for roles in research, development, and design within the healthcare and medical device industries, as well as in academic research and development settings.

M.Tech. in Automobile Engineering is a 2-year postgraduate program designed to provide advanced knowledge in the design, development, and manufacturing of automobiles. This course covers topics like automotive materials, advanced propulsion systems, vehicle dynamics, aerodynamics, and hybrid vehicle technology. It aims to equip students with the technical expertise and problem-solving skills required to address challenges in the automotive industry. Graduates can pursue careers in automotive design, research, testing, and production in reputed organizations or opt for academic and research roles. Eligibility typically includes a B.Tech./B.E. in Mechanical, Automobile, or related engineering disciplines, along with entrance exam qualifications.

 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 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 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 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.

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.

 B.Tech. in Computer Science Engineering (CSE) with a specialization in Internet of Things (IoT), Cyber Security, and Blockchain Technology is a 4-year undergraduate program designed to equip students with advanced knowledge and practical skills in these cutting-edge fields. The course covers topics such as IoT systems, network security, cryptography, blockchain algorithms, and smart contracts, preparing graduates for careers in the rapidly evolving tech landscape. With a blend of theoretical foundations and hands-on training, students will explore the integration of IoT devices, secure data transmission, and decentralized ledger technologies. This program emphasizes problem-solving, programming, and security measures essential for developing innovative solutions in the digital world. Upon completion, students will be well-prepared for roles in IoT development, cyber defense, blockchain development, and more.