- 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
Data Science
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
The program aims to deliver an interdisciplinary education in Data Science with specializations in Big Data Analytics and Cloud Computing, fostering analytical skills, research aptitude, ethical values, and social responsibility to create sustainable, real-world data-driven solutions
- 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 & Personalized 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 visualization platforms for practical, project-based learning.
PO
- Domain Knowledge
- Communicative Competence
- Applying Modern Technologies
- Reflective response to Ethical and Social Issues
- Sustainability Values
- Critical Thinking and Problem-Solving
- Entrepreneurship
- Teamwork and Leadership
- Self-Directed and Lifelong Learning
PSO
- To develop the ability to understand the abstract concepts that lead to various data science theories in Statistics and Computer Science.
- To identify, analyze and design solutions for problems using the fundamental principles of Statistics, Computing Sciences, and relevant domain disciplines.
- To acquire the skills of handling data science programming tools for problem solving.
- To understand the role of statistical approaches and apply the same to solve real- life problems in the fields of data science.
- To apply research-based knowledge to analyze and solve problems in data science.
- To create the role of Analytical career with commitment to Professional ethics.