School of Engineering

The B.Tech. in VLSI System Design is a 4-year undergraduate curriculum that covers every aspect of designing and developing very large-scale integrated (VLSI) circuits and systems. The program involves topics including digital logic design, semiconductor device physics, CMOS technology, CAD tools, and system-on-chip (SoC) design. Students acquire the skills to design, simulate, and fabricate complex VLSI systems for application in electronics, telecommunications, and embedded systems through hands-on projects, laboratory sessions, and industry internships. Graduates of this program are ready to work as VLSI design engineers, IC layout specialists, CAD tool developers, and research associates in the rapidly evolving field of microelectronics and semiconductor technologies.

The M.Tech. in Computer Science & Engineering is a 2-year postgraduate degree that provides advanced specialization in artificial intelligence, machine learning, computer networks, cybersecurity, and software engineering. The program encompasses cutting-edge topics like as deep learning, cloud computing, the Internet of Things, and data mining. Through hands-on projects, industrial internships, and research, students acquire expertise in designing and implementing innovative computing solutions to complicated real-world issues. Graduates of this degree have the opportunity to work as software architects, data scientists, cybersecurity professionals, and research engineers in the fast-changing field of computer science and information technology.

The M.Tech. in Electrical Engineering is a 2-year postgraduate degree that provides advanced specialization in fields such as power systems, control systems, signal processing, and embedded systems. The curriculum includes areas such as power electronics, machine learning, renewable energy technologies, and smart grid systems. Students learn how to establish, analyze, and optimize complex electrical and electronic systems through hands-on projects and industrial internships. Graduates of this program have the potential to work as power system engineers, control system specialists, embedded software developers, and research scientists in the flourishing field of electrical engineering, helping to develop new technologies

The B.Tech. in Data Analytics is a 4-year undergraduate degree that provides candidates a solid foundation in data science, machine learning, and business intelligence. The curriculum includes topics such as programming, data structures, database management, statistical modeling, and big data technologies. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets in order to make educated choices. Graduates of this program have the technical and analytical abilities to work as data analysts, business intelligence experts, data engineers, and data scientists in a variety of businesses, as well as to pursue further studies in data analytics.

The M.Tech. in Data Analytics is a 2-year postgraduate program that teaches students advanced skills in data mining, machine learning, predictive modeling, and business intelligence. The program includes topics such as big data technology, data visualization, prescriptive analytics, and applied statistics. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets to inform strategic decision-making. This curriculum prepares graduates for positions as data scientists, business analysts, data engineers, and analytics consultants in a variety of sectors, as well as data science research positions.

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.

M.Tech. in Mechanical Engineering is an advanced postgraduate degree typically completed in 2 years. The program deepens students' understanding of mechanical engineering principles and applications, covering subjects like advanced thermodynamics, robotics, finite element analysis, and advanced manufacturing processes. Students engage in coursework, laboratory experiments, and a research thesis or project. The curriculum often includes electives allowing specialization in areas such as automotive engineering, aerospace systems, or energy systems. This degree enhances career prospects in industries like automotive, aerospace, energy, and manufacturing, preparing graduates for roles in research and development, design engineering, or advanced technical management positions.

 B.Tech. in Biomedical Engineering is typically a 4-year undergraduate program that combines principles of engineering with medical and biological sciences. Students learn to design and develop innovative medical devices, imaging systems, and biotechnology solutions. The curriculum covers subjects like biomechanics, bio instrumentation, medical imaging, biomaterials, and tissue engineering. Coursework often includes practical laboratory experiences, internships, and capstone projects. Graduates are prepared for careers in healthcare technology, medical device industries, research institutions, and hospitals. They may work on developing prosthetics, designing diagnostic equipment, or creating software for medical applications. This interdisciplinary field offers opportunities for further specialization through postgraduate studies or research.

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.

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.

A 4-year undergraduate degree called a B.Tech. in Electrical Engineering with a concentration on Artificial Intelligence (AI) and Electric Vehicles (EV) combines fundamental electrical engineering principles with cutting-edge AI and sustainable transportation technology. Power systems, control systems, electrical circuits, machine learning, artificial intelligence (AI) algorithms, electric vehicle (EV) technology, and renewable energy systems are among the topics covered in the program. Additionally, students have practical experience creating automation, smart systems, and EV parts including drivetrains and batteries. Graduates of the program are prepared for jobs in smart grid technology, electric vehicle design, AI-driven electrical applications, and the expanding sustainable energy and transportation sector.

 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 Biomedical Engineering is a 2-year postgraduate program that combines engineering principles with medical and biological sciences to develop innovative healthcare solutions. This course focuses on areas such as medical imaging, biomaterials, biomechanics, bioinformatics, and medical device design. Students gain both theoretical knowledge and practical experience through laboratory work, projects, and internships in collaboration with healthcare institutions. The program is designed to equip graduates with the skills needed to address complex biomedical challenges, enhancing the design and implementation of medical technologies. Upon completion, students are prepared for roles in research, development, and design within the healthcare and medical device industries, as well as in academic research and development settings.

B.Tech. in Remote Sensing and GIS is a 4-year undergraduate program designed to provide comprehensive knowledge in geospatial technologies. It integrates core subjects like remote sensing, Geographic Information Systems (GIS), photogrammetry, and global navigation satellite systems. The curriculum combines theoretical knowledge with practical applications in mapping, environmental monitoring, disaster management, and urban planning. Students learn to analyze spatial data, develop geospatial solutions, and interpret satellite imagery using advanced tools. The program includes internships, projects, and industry exposure to ensure practical proficiency. Graduates can pursue careers in government organizations, private industries, and research institutes or further studies in geoinformatics, earth sciences, and related fields. The course equips students with skills essential for addressing complex spatial challenges globally.

M.Tech. in Remote Sensing and GIS is a postgraduate degree that provides students with enhanced knowledge and abilities in geospatial technology. This 2-year course focuses on integrating remote sensing, geographic information systems (GIS), and satellite-based spatial analysis to address complex environmental, urban, and industrial concerns. The curriculum covers image processing, geostatistics, spatial modeling, and geospatial application development. With a focus on research and innovation, students learn how to analyze and interpret spatial data for various industries, including agriculture, disaster management, urban planning, and natural resource management. The curriculum equips graduates to work in academia, government agencies, private companies, and research groups, tackling global concerns with geospatial solutions.

M.Tech. in Computer Networking is a postgraduate program designed to provide advanced knowledge and skills in networking technologies, protocols, and communication systems. The course typically spans 2 years, divided into 4 semesters, and includes both theoretical and practical aspects of networking. Students learn about topics like network design, wireless communication, internet security, network management, and advanced networking protocols. The curriculum combines research-oriented coursework and hands-on training, preparing graduates for roles in network engineering, cybersecurity, data communication, and telecommunications. M.Tech. in Computer Networking opens up opportunities in industries such as IT, telecommunications, and network infrastructure, with a focus on equipping students with the expertise required to manage and optimize complex network systems.

B.Tech. in Full Stack Development is a comprehensive undergraduate program designed to equip students with the skills required to become proficient full-stack developers. The course typically spans 4 years and covers a wide range of subjects, including front-end technologies (HTML, CSS, JavaScript), back-end development (Node.js, Java, Python), databases (SQL, NoSQL), and cloud computing. Students also gain expertise in software development methodologies, version control systems like Git, and frameworks such as React and Angular. The curriculum integrates hands-on projects, internships, and industry collaboration to provide practical experience. Graduates of this course are well-prepared to work in various domains, such as web development, software engineering, and application development, with strong problem-solving and programming skills.

 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 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.

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.

B.Tech. (Hons.) in Civil Engineering is a 4-year undergraduate program that equips students with the knowledge and skills needed to design, construct, and maintain infrastructure projects. The curriculum covers core subjects like structural engineering, geotechnical engineering, transportation systems, environmental engineering, and construction management. Students acquire practical experience through lab work, design projects, site visits, and internships, enabling them to understand real-world challenges in the field. Advanced topics such as sustainable construction, smart cities, and innovative materials are often included. This program prepares graduates for diverse roles in construction firms, consultancy, public infrastructure development, and research. Civil engineers play a vital role in building and maintaining essential infrastructure like bridges, roads, buildings, and water systems.

B.Tech. in Computer Networking is a 4-year undergraduate program that provides a comprehensive understanding of designing, managing, and securing computer networks. The course covers essential topics such as network architecture, wireless communication, network security, cloud computing, and Internet of Things (IoT). Students acquire practical experience in network configuration, troubleshooting, and implementing advanced technologies like virtualization and cybersecurity protocols. The curriculum combines theoretical knowledge with practical lab sessions, projects, and internships to prepare students for real-world challenges. Graduates can pursue careers as network engineers, system administrators, cybersecurity specialists, or IT consultants in industries like telecommunications, IT services, and data centers. The program equips students with the technical expertise needed for a dynamic and evolving tech industry.

M.Tech. in Full Stack Development is a  2-year postgraduate program designed to provide in-depth knowledge and advanced skills in both front-end and back-end web development. The course covers modern programming languages, frameworks, databases, cloud computing, DevOps practices, and software engineering principles. Students acquire expertise in building scalable, secure, and efficient web applications, mastering technologies like React, Angular, Node.js, Python, Java, MongoDB, and SQL. The program emphasizes hands-on learning through projects, internships, and case studies, preparing students for real-world challenges. Graduates are equipped to excel in roles such as Full Stack Developer, Software Architect, or DevOps Engineer in industries like IT, e-commerce, fintech, and more, contributing to innovative software solutions.