Established in 2023, the Department of Computer Science and Engineering (Data Science) offers graduate programs approved by AICTE and affiliated with APJ Abdul Kalam Technological University (KTU). Equipped with modern infrastructure, advanced computing facilities, and a team of dedicated faculty members, the department is committed to academic excellence, research, and innovation in data science. It aims to develop skilled professionals, researchers, and entrepreneurs through a balanced curriculum that combines theoretical knowledge and practical training in data analytics, statistical modeling, data visualization, big data technologies, data mining, machine learning, predictive analytics, and cloud computing. The department also provides continuous guidance for projects, internships, and research activities to help students address real-world challenges and meet evolving industry demands.

The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning), which welcomed its first batch of students in 2025, is committed to preparing students for the rapidly evolving world of intelligent computing by combining the fundamentals of computer science with advanced concepts in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Robotics, Cloud Computing, and Intelligent System Design. Equipped with modern laboratories, AI development platforms, and advanced computing facilities, the department provides a technology-rich learning environment that promotes academic excellence, research, innovation, and industry-oriented learning. Through project-based learning, internships, workshops, certification programs, hackathons, technical competitions, and collaborative industry interactions, students gain practical experience in developing AI-driven solutions for real-world challenges across domains such as healthcare, cybersecurity, automation, and smart systems. Guided by experienced faculty members, students are encouraged to enhance their technical expertise, analytical thinking, leadership qualities, and entrepreneurial skills, enabling them to design, develop, and deploy intelligent systems and pursue successful careers in industry, research, and innovation.