School of Engineering

M.Tech. in Robotics and Automation is a two-year postgraduate program that equips students with cutting-edge knowledge and abilities in fast-expanding domains such as robotics and automation. This intensive course normally lasts four semesters and covers a wide range of topics, including robot kinematics and dynamics, machine learning, computer vision, control systems, and artificial intelligence. Students engage in hands-on projects, laboratory work, and research, which generally culminate in a thesis or capstone project. The training program trains graduates to work in fields such as manufacturing, healthcare, aerospace, and autonomous systems, where they'll design, develop, and execute novel robotic solutions. With the growing demand for automation in various industries, this degree provides good employment prospects and industries, this degree provides good employment prospects as well as opportunities for additional research and development in the field.

The Bachelor of Technology in Robotics and Automation is a 4-year undergraduate degree that provides learners with knowledge about the design, development, and integration of robotic systems and automated technologies. The program includes topics such as mechatronics, control systems, computer vision, machine learning, and industrial automation. Students acquire the knowledge to build, program, and implement intelligent robotic systems for use in manufacturing, healthcare, transportation, and other industries through hands-on projects, laboratory sessions, and industrial internships. Graduates of this program have the skills to work as robotics engineers, automation specialists, control system designers, and research associates in the rapidly expanding field of robotics and automation.

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

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.

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.

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 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.

B.Tech. in Artificial Intelligence and Data Science is a 4-year undergraduate program that focuses on the intersection of AI technologies and data analytics. The course provides a strong foundation in subjects such as machine learning, data mining, natural language processing, deep learning, and big data analytics. Students acquire expertise in developing AI-driven solutions and analyzing complex datasets to solve real-world problems. The curriculum includes programming languages, statistical methods, algorithm design, and data visualization techniques, along with hands-on experience through projects, workshops, and internships. The program also covers ethical issues in AI and data science. Graduates are well-equipped for careers in AI development, data analysis, business intelligence, and research, with opportunities in industries like technology, healthcare, finance, and e-commerce.

 B.Tech. in Computer Science & Engineering with a specialization in Blockchain Technologies (IBM) is a  4-year undergraduate program designed to provide students with a strong foundation in computer science along with in-depth knowledge of blockchain technology. The course covers essential topics such as programming, algorithms, data structures, cryptography, and distributed systems, alongside specialized blockchain concepts like smart contracts, consensus mechanisms, and decentralized applications (DApps). The program incorporates IBM’s blockchain platform, offering students hands-on experience with real-world blockchain development and deployment. Through practical projects, workshops, and internships, students gain the skills needed to work in industries adopting blockchain solutions. Graduates are well-prepared for careers in blockchain development, software engineering, fintech, and cybersecurity, with opportunities in technology firms, startups, and research institutions.