School of Engineering

B.Tech. in Computer Science and Engineering is a 4-year undergraduate degree that provides students with a solid foundation in computer science principles and engineering methods. The course content includes programming languages, algorithms, data structures, software engineering, database management, computer networks, and artificial intelligence. Students receive practical experience through projects and internships. This degree prepares graduates for professions in software development, system analysis, cybersecurity, and other technical industries, as well as advanced computing studies.

 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.

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.

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.

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.

 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.