B.E Computer Science and Engineering

The curriculum of the B.E CSE programme is designed based on the guidelines prescribed in the report on Computing Curricula Series, Joint Task Force on Computer Engineering Curricula, Association for Computing Machinery (ACM) and IEEE Computer Society.
The programme is accredited by NBA for 6 years. The programme covers fundamental subjects such as Theory of Computation, Compiler Design, and Data Structures, alongside courses on emerging fields like Machine Learning (ML), Deep Learning (DL), and Blockchain technology.
To ensure industry readiness, the programme also includes industry supported courses delivered by industry professionals in prominent areas such as Natural Language Processing (NLP) and Generative AI. The programme equips graduates with the skills needed to excel in dynamic technological landscapes and pursue advanced research or rewarding careers in computer science.

B.E Computer Science and Engineering (AIML)

The B.E. CSE (AIML) programme is designed to provide students with in-depth knowledge of Artificial Intelligence and Machine Learning technologies. The program focuses on core computer science courses while integrating advanced topics such as Deep Learning, Reinforcement Learning, Natural Language Processing, and Computer Vision.
With a foresight to meet industry trends, the programme also emphasizes on courses such as sustainable AI and autonomous agents. Practical learning through hands-on projects, internships, and research opportunities is ensured for industry-readiness.
The programme encourages active and experiential learning allowing excellence in AI-driven domains, preparing them for careers in AI development, data science, and intelligent systems design.

M.E Computer Science and Engineering

The Master of Engineering (M.E.) in Computer Science and Engineering programme is designed to cultivate advanced research capabilities and technical expertise in students. The courses are aligned with prominent areas such as Theoretical Computer science, Systems engineering and Technology.
The curriculum includes specialized subjects such as Randomized Algorithms, Modern Operating Systems, and Cryptography, providing a strong foundation for pursuing cutting-edge research.
The programme emphasizes on critical thinking, usage of modern tools and research skills. With its research-oriented approach and focus on emerging technologies, this programme equips graduates to contribute innovatively to the field of computer science.
Ethical practices, social responsibility and collaborative learning are encouraged to prepare students for careers in academia, research and development, and the IT industry.