Empowering Intelligence through Data – Innovating the Future
In keeping with its tradition of academic excellence and inclusive education since 1965, Bharata Mata College introduced the Department of Data Science in the academic year 2024–25 under the Four-Year Undergraduate Programme (FYUGP). The department offers a 4-year B.Sc. Data Science programme with an annual intake of 50 students. Data Science equips students to handle, analyze, and interpret large volumes of data, a critical skill in industries that rely on data-driven decision-making
The department is committed to preparing students for the data-driven future through a rigorous curriculum and value-based education. It offers specializations in Big Data Analytics and Cloud Computing, integrating technology with ethical responsibility and social relevance — reflecting the college's vision of responsible citizenship and active concern for others.
Our Vision
To be a transformative academic space in data science education that shapes analytical thinkers and ethical data professionals, driven by a quest for excellence and committed to deriving insights that support societal progress, environmental balance, and communal harmony.
Our Mission
Provide interdisciplinary education in data science with specialisations in big data analytics and cloud computing. Foster analytical rigour, critical thinking, and research through experiential learning and real-world challenges. Build strong moral values, inclusivity, and social responsibility while promoting data-driven solutions aligned with sustainable development and environmental stewardship goals.
Live Projects & Industry Ties: Opportunities to work with real datasets, internships, and industry collaborations for hands-on learning.
Startup & Research Support: Dedicated mentoring for innovation, research initiatives, and incubation of student-led data solutions.
Inclusive & Personalised Learning: Academic support systems designed to uplift students from all backgrounds, ensuring equity in access and success.
Research Exposure: Early immersion in research with guidance for publishing, presenting, and contributing to the data science community.
Modern Infrastructure: Well-equipped data labs, access to cloud tools, and visualisation platforms for practical, project-based learning.