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.

M.Tech. in Nanotechnology is a postgraduate program designed to provide in-depth knowledge and skills in the emerging field of nanoscience and nanotechnology. Typically spanning 2 years, the course covers subjects like nanomaterials, nanoelectronics, nanobiotechnology, and nanomedicine. Students engage in both theoretical learning and practical applications, including laboratory research, to understand the behavior of materials at the nanoscale and their potential in various industries, such as electronics, healthcare, and energy. Graduates are equipped to pursue careers in research, development, and innovation, contributing to advancements in technology, medicine, and environmental sustainability. The program often involves a thesis or project work to develop expertise in a specific area.

 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 Energy and Environment Management is a postgraduate program that focuses on sustainable energy solutions and environmental conservation. The course covers topics such as renewable energy, energy efficiency, environmental impact assessment, waste management, climate change, and sustainable development practices. It integrates technical knowledge with environmental policies to address global energy and environmental challenges. The program typically spans 2 years, divided into 4 semesters, with a combination of lectures, practical sessions, and project work. Graduates can pursue careers in energy management, environmental consulting, policy-making, and research, working with governments, NGOs, and industries focused on sustainability and energy solutions.

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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.

M.Tech. in Biomolecular Engineering and Biotechnology is a specialized program designed to equip students with advanced knowledge and technical skills in the fields of molecular biology, biotechnology, and bioengineering. Typically spanning 2 years, this program integrates core subjects such as genetic engineering, bioinformatics, cell biology, molecular diagnostics, and bioprocessing. Students acquire hands-on experience through laboratory work, research projects, and industry internships. The curriculum emphasizes the application of biotechnology in medicine, agriculture, and environmental sustainability. Graduates are well-prepared for roles in biotechnology research, pharmaceutical industries, genetic counseling, and bioengineering sectors. Admission requirements usually include a relevant undergraduate degree in biotechnology, biochemistry, or related fields, along with competitive entrance exams or interviews, depending on the institution.