The Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) was established in the academic year 2020-21 with an initial intake of 60 students. In response to the growing demand for AI and ML professionals and the department's continuous progress, the intake was increased to 120 students and has further been enhanced to 180 students from the academic year 2026-27. The department is supported by highly qualified, experienced, and dedicated faculty members along with competent technical staff. It is equipped with modern laboratories, advanced computing facilities, and software tools that provide students with a strong foundation in emerging technologies.
The B.Tech. in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program is designed to prepare students for the rapidly evolving digital era by integrating strong computational foundations with advanced AI and data-driven technologies. The curriculum emphasizes experiential learning through innovative projects, internships, research activities, industry interactions, and problem-solving approaches that enable students to address real-world challenges using intelligent systems.
Artificial Intelligence and Machine Learning are transforming industries by enabling intelligent decision-making, automation, predictive analytics, and innovative problem-solving. The department offers specialized learning in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Big Data Analytics, Reinforcement Learning, Generative AI, Robotics, Business Intelligence, Predictive Analytics, Swarm and Bio-inspired Computing, Robotic Process Automation, Fuzzy Systems, and Intelligent Automation.
The department is committed to fostering innovation, research, entrepreneurship, and lifelong learning. Through academic excellence, interdisciplinary projects, research initiatives, and skill-oriented training, students are empowered to develop intelligent solutions for societal and industrial challenges. Graduates of the program are well-equipped to pursue successful careers in leading technology organizations, research institutions, start-ups, and higher education across the globe.
