School of Engineering

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.

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 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 3-year Diploma in Computer Science & Engineering program gives students a foundational understanding of computer science and engineering concepts. Programming languages (C, C++, Java), computer networks, database administration, data structures, software engineering, operating systems, and web development are among the topics covered in the curriculum. Students have practical experience in software development, debugging, and coding, preparing them for technical positions in engineering and information technology. The curriculum is intended to give students the theoretical understanding and real-world skills they need to pursue employment in a variety of areas, including software development, network administration, hardware engineering, and IT support.

 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.

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.

B.E. in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning is a 4-year undergraduate program designed to provide students with a strong foundation in computer science while focusing on the latest advancements in AI and ML. The course covers subjects such as algorithms, data structures, programming languages, computer networks, machine learning, deep learning, natural language processing, and neural networks. Students acquire ands-on experience in developing AI-driven applications and working with large datasets, using tools and frameworks like TensorFlow and Python. The program incorporates practical projects, research, and internships to prepare students for real-world challenges. Graduates can pursue careers as AI engineers, data scientists, machine learning researchers, or software developers in industries such as technology, healthcare, finance, and robotics.