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.

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 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.

 

 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 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 Computer Science & Engineering (CSE) – Lateral Entry is a specialized program designed for students who have completed a diploma in engineering or a related field. This 3-year undergraduate course allows students to directly enter the second year of the B.Tech. program, enabling them to complete their degree in a shorter time compared to the standard 4-year course. The program focuses on core subjects such as programming, data structures, algorithms, computer networks, software engineering, and artificial intelligence, preparing students for diverse roles in the tech industry. Graduates are equipped with the skills needed for roles in software development, systems analysis, and IT management, making them highly employable in both national and international job markets.

 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.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.