School of Engineering

The M.Tech. in Cyber Security is a 2-year postgraduate program that emphasizes advanced topics in information security, cryptography, network defense, and digital forensics. The program includes topics including ethical hacking, cloud security, IoT security, and security analytics. Students acquire practical experience through lab sessions and industrial assignments, acquiring competence in creating and executing robust cybersecurity solutions. The program of study prepares graduates for leadership roles in cybersecurity, including security analysts, penetration testers, security architects, and information security managers in a variety of sectors, as well as research and development positions in information security.

B.Tech. in Information Technology is a 4-year undergraduate degree program that integrates computer science, software engineering, and information systems. The curriculum encompasses topics such as programming, data structures, algorithms, computer networks, database administration, and emerging technologies. Graduates acquire the necessary technical skills and problem-solving ability to design, implement, and maintain information systems and software applications. The curriculum prepares students for a variety of IT jobs, such as software development, web development, system management, and data analysis.

 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.

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.

 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.

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.

 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 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.