- Supplementary Allotment 2 for Various PG Programmes Published on 11/07/2025
- Supplementary Allotment 2 for Various UG Programmes Published on 09/07/2025
- End Semester Examination for Second Semester MBA (Regular) Programme (2024 Admission) scheduled on 09-07-2025 (Wednesday) FN is postponed to 14-07-2025 (Monday) FN
B.Sc. AI & Data Analytics
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 emphasizing core areas such as Data Analytics, and 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 center 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
The aim is to deliver a future-focused AI and Data Analytics curriculum that fosters innovation and academic excellence through practical, interdisciplinary, and industry-driven learning, empowering students to create ethical, sustainable, and socially beneficial data-driven solutions.
- 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: Personalized 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