School of Engineering

 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.

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 Thermal Engineering is a 2 year postgraduate degree that covers advanced topics in heat transport, fluid mechanics, and energy systems. The curriculum includes topics including thermodynamics, combustion, heat exchangers, renewable energy, HVAC systems, and thermal system design. Students participate in research projects, simulations, and lab work to gain practical knowledge of thermal processes and energy efficiency. The curriculum trains graduates for professions in fields such as energy, manufacturing, automotive, and aerospace, where heat management is vital. Admission normally needs a B.Tech. in Mechanical, Civil, or allied engineering fields, as well as a solid understanding of thermodynamics.

 

 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.

B.Tech. in Computer Science and Engineering (CSE) with a specialization in Internet of Things (IoT) is a 4-year undergraduate program that focuses on the integration of computing systems with physical devices through IoT technology. The course covers core subjects in computer science such as programming, algorithms, data structures, and software engineering, along with IoT-specific topics like sensor networks, embedded systems, cloud computing, machine learning, and wireless communication. Students learn how to design, develop, and manage IoT systems and applications for various industries, including healthcare, agriculture, and smart cities. The program emphasizes hands-on experience through projects, labs, and internships, preparing students for careers in IoT development, network management, smart technology solutions, and software engineering, with opportunities in both the public and private sectors.

B.Tech. in Computer Science and Engineering (Data Science) is a 4-year undergraduate program that focuses on the principles of computer science, engineering, and the application of data science techniques. The course covers areas such as programming, algorithms, database management, machine learning, data mining, artificial intelligence, statistical analysis, and big data technologies. Students acquire hands-on experience with data visualization tools, data modeling, and data processing techniques to analyze and interpret complex datasets. The program is designed to equip students with the skills required to develop data-driven solutions for various industries, including healthcare, finance, and technology. Graduates can pursue careers as data scientists, machine learning engineers, data analysts, or work in software development, analytics, and research in both private and public sectors.

B.Tech. in Computer Science Engineering with a specialization in AI & ML is a 4-year undergraduate program designed to equip students with a strong foundation in computer science and cutting-edge technologies like Artificial Intelligence and Machine Learning. The course covers topics such as algorithms, data structures, computer networks, programming languages, data science, deep learning, neural networks, natural language processing, and AI ethics. Students gain hands-on experience through projects, internships, and lab work, focusing on the practical application of AI & ML in fields such as robotics, automation, data analytics, and predictive modeling. The program is ideal for students seeking to pursue careers in AI research, software development, data engineering, or work in emerging technologies across industries like healthcare, finance, and tech.