Driving innovation through AI and the power of data
The Department of B.Sc. Artificial Intelligence and Data Analytics at Bharata Mata College is set to launch in the academic year 2025–26 under the Four-Year Undergraduate Programme (FYUGP), with an annual intake of 40 students. Aligned with the college’s tradition of academic excellence and value-based education, the department is dedicated to shaping skilled, ethical, and forward-thinking professionals in the fields of AI and data science.
This 4-year B.Sc. programme offers a future-ready curriculum emphasising core areas such as data analytics, intelligent systems, and cloud management. Combining strong theoretical foundations with hands-on training, the programme equips students with the analytical and technical expertise needed to solve complex, real-world problems. The department is committed to producing graduates who are not only industry-ready but also capable of driving innovation in an increasingly data-driven world.
Our Vision
To emerge as a centre of excellence in artificial intelligence and data analytics, nurturing innovative, skilled, and socially responsible professionals to lead and contribute meaningfully in a data-driven world.
Our Mission
Deliver a future-focused curriculum in AI and data analytics, equipping students with skills in Machine Learning, Big Data, and intelligent systems. Foster innovation through hands-on learning and industry collaboration, while enabling data-driven solutions to real-world problems and promoting ethical, sustainable, and responsible use of AI aligned with societal values.
Industry Integration: Regular interaction with AI and data science professionals through expert sessions, industrial visits, and mentorship.
Startup & Innovation Ecosystem: Support for entrepreneurial ventures with dedicated guidance, project incubation, and innovation labs.
Student-Centric Learning: Personalised mentoring, peer-assisted learning, and flexible academic pathways tailored to individual interests and strengths.
Hands-On Curriculum: Strong emphasis on real-world applications through projects, data challenges, coding labs, and AI simulations.
Ethics & Responsibility: Focus on ethical AI practices and the societal impact of data-driven technologies in line with the college’s core values.
Career Readiness: Industry-aligned skill development to prepare students for careers in AI, data analytics, research, and emerging tech domains.