School of Engineering

B.Tech. in Computer Science & Engineering with Specialization in AI and DS is a 4-year undergraduate program that combines core computer science principles with cutting-edge artificial intelligence and data science techniques. This comprehensive curriculum covers fundamental topics like programming, algorithms, and software engineering while delving deep into machine learning, neural networks, big data analytics, and statistical modeling. Students acquire hands-on experience through projects, internships, and industry collaborations, preparing them for careers in AI research, data science, and software development. The program emphasizes problem-solving skills, ethical considerations in AI, and the practical application of advanced technologies, equipping graduates to tackle complex challenges in fields such as healthcare, finance, robotics, and autonomous systems.

B.Tech. in Automobile Engineering is a 4-year undergraduate program that focuses on the design, development, manufacturing, and maintenance of vehicles. Students learn about automotive systems, engine technology, vehicle dynamics, and materials science. The curriculum combines theoretical knowledge with practical skills through laboratory work and industry internships. Courses cover subjects like thermodynamics, fluid mechanics, automotive electronics, and vehicle design. Graduates are equipped for careers in automotive manufacturing, research and development, and maintenance sectors. The program also emphasizes emerging technologies like electric and autonomous vehicles, preparing students for the evolving automotive industry. Strong problem-solving and analytical skills are developed throughout the course.

 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.

M.Tech. in Machine Design is a specialized postgraduate program designed to enhance skills in designing and developing mechanical systems and components. Typically lasting 2 years, this course covers advanced topics such as kinematics, dynamics, materials science, and computer-aided design (CAD). Students engage in project work, research, and practical applications, equipping them with a strong foundation in engineering principles and design methodologies. The curriculum often includes subjects like finite element analysis (FEA), vibration analysis, and product lifecycle management, preparing graduates for careers in automotive, aerospace, manufacturing, and robotics industries, as well as opportunities in research and academia.

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.

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.

The 4-year undergraduate Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering degree integrates concepts of electronic systems and electrical engineering. Circuit theory, power and control systems, digital electronics, and microprocessors are just few of the topics covered over here. Through design projects, laboratory work, and frequently finishing industry internships, students obtain practical experience. Modules on cutting-edge technology like robots, IoT, and renewable energy systems are frequently included in curriculum. Graduates are equipped for jobs in various  fields, like automation, consumer electronics, telecommunications, and power generation and distribution. With an emphasis on creativity, problem-solving abilities, and sustainable practices, the program prepares students to tackle today's issues in smart grids, energy efficiency, and electronic device design.

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 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 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.

B.Tech. in Artificial Intelligence (AI) and Machine Learning (ML) is a 4-year undergraduate program that equips students with in-depth knowledge and skills in AI, ML, and data science. The course focuses on core areas such as machine learning algorithms, neural networks, natural language processing, robotics, computer vision, and deep learning. Students also learn programming languages like Python and tools such as TensorFlow and Keras, essential for building AI and ML models. The program emphasizes both theoretical understanding and practical applications, preparing graduates for roles in industries like healthcare, finance, robotics, and technology. The duration of the course is typically four years, divided into eight semesters, offering a blend of lectures, lab sessions, and project work for hands-on experience.

M.Tech. in Embedded Systems is a  2-year postgraduate program designed to equip students with advanced knowledge and practical skills in the design, development, and application of embedded systems. The course covers a wide range of topics, including microcontrollers, real-time operating systems, digital signal processing, VLSI design, and communication systems. Students also gain expertise in programming languages such as C, C++, and Python, and learn to design embedded software and hardware for various applications in fields like robotics, automotive, telecommunications, and consumer electronics. Through practical labs, projects, and internships, students develop hands-on experience in embedded system design and problem-solving. This program is ideal for those seeking to pursue a career in embedded system development or related industries.

A PG Diploma in Electric Vehicle (EV) Technology is a 1-year postgraduate program designed to equip students with the knowledge and skills required for the growing EV industry. The course covers key areas such as electric vehicle design, battery technologies, power electronics, charging infrastructure, and energy management systems. Students acquire practical experience through lab sessions, workshops, and industry projects, enabling them to understand the development and integration of EV systems. The program also emphasizes sustainable practices, government policies, and emerging trends in electric mobility. Graduates are prepared for careers in EV manufacturing, research and development, battery technology, and infrastructure planning, addressing the global shift towards environmentally friendly transportation solutions.