The Department of Artificial Intelligence & Data Science (AI&DS) was established in 2025 with the vision of nurturing competent professionals in Artificial Intelligence, Data Science, and emerging technologies. The department is committed to delivering quality technical education through an innovative curriculum, industry-oriented learning, research, and experiential practices.
The department provides a dynamic learning environment supported by experienced faculty, modern laboratories, and advanced computing resources. It encourages students to develop analytical thinking, problem-solving skills, innovation, entrepreneurship, and ethical values to address real-world challenges. Through collaborations with industry, research organizations, professional bodies, and certification platforms, the department prepares students for successful careers and lifelong learning.
The Artificial Intelligence & Data Science (AI&DS) program focuses on developing skilled professionals capable of designing intelligent systems and extracting meaningful insights from data. The curriculum integrates fundamental computer science with Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Big Data Technologies, Cloud Computing, Internet of Things (IoT), Generative AI, and Cyber Security.
The department promotes project-based learning, interdisciplinary research, internships, hackathons, innovation activities, and industry interactions. Students are encouraged to participate in professional certifications, NPTEL courses, research publications, startup initiatives, and national and international technical competitions.
With state-of-the-art laboratories and continuous interaction with academia and industry, the department aims to produce graduates who can contribute effectively to technological advancements and societal development.
To be a centre of excellence in Artificial Intelligence and Data Science by fostering innovation, research, and ethical AI solutions for sustainable societal and global Development.
1. To achieve academic excellence through an outcome-based, industry-oriented curriculum, experiential learning, and the effective use of emerging technologies in Artificial Intelligence and Data Science.
2. To promote research, innovation, entrepreneurship, and strong industry collaboration for developing intelligent, data-driven solutions to real-world challenges.
3. To nurture ethical, globally competent, and socially responsible professionals with leadership qualities and a commitment to lifelong learning and continuous professional development.