B.Tech. (Hons) Computer Science & Engineering (CSE) enables the student to ideate, design, develop and deploy a software solution that can be used to address an industry required problem or use case.

This program provides an opportunity to learn problem solving using ICT (information and communication technology) approach by strong learning through fundamental, conceptual, capstone and application knowledge. The program convenes multiple outcomes through core software knowledge, developmental knowledge like Dev-ops and end-to-end knowledge like full stack.

01. Passed the 10+2 examination with Physics and Mathematics as mandatory subjects, along with any one of the following: Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational Subjects, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship.

02. Obtained at least 50% marks (45% for candidates belonging to the reserved category) in the above subjects taken together.

03. Candidates must have completed 16 years of age as on 31st December of the year of admission.

B.Tech. (Hons) CSE (DSAI) focuses on data-driven decision-making, analytical modelling, and intelligent automation.

With an emphasis on Data Science, the program integrates statistical analysis, computational techniques, and large-scale data processing to extract meaningful insights. It also incorporates artificial intelligence methodologies, enabling students to develop intelligent systems that enhance automation and predictive capabilities. The curriculum is designed to provide hands-on experience through practical applications, industry collaborations, and research-driven projects, preparing graduates for careers in data analytics, AI solutions, and emerging technologies in a rapidly evolving digital landscape.

B.Tech. (Hons) ECE (Internet of Things) provides students a comprehensive foundation in the IoT ecosystem, encompassing sensing, communication, signal processing, and system integration.

It emphasizes secure, scalable, and efficient solutions, incorporating networking, system optimization, and edge computing to address real-world challenges. Through a balanced approach of theoretical learning and practical implementation, the program equips students with the expertise to develop reliable and connected IoT systems, preparing them for advancements in smart infrastructure, automation, and communication technologies.