- Bharata Mata College Autonomous, Thrikkakara: UG & PG Admission 2025 – Spot Registration
- 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.
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.
- To provide a comprehensive and interdisciplinary education in Data Science with focused specializations in Big Data Analytics and Cloud Computing.
- To instill analytical rigor, critical thinking, and research aptitude through experiential learning and real-world data challenges.
- To build a strong foundation in moral values, inclusivity, and social responsibility through collaborative data-driven initiatives.
- To promote data science applications that align with sustainable development goals and environmental stewardship.
- 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.
- Data-Centric Future: Data is the new oil — powering industries like healthcare, finance, marketing, agriculture, e-commerce, and more.
- Interdisciplinary Learning: Combines computer science, statistics, mathematics, and machine learning in a well-rounded curriculum.
- Hands-On Skill Development: Gain practical experience through real-world datasets, projects, and industry tools.
- Industry-Relevant Specializations: Specialize in Big Data Analytics and Cloud Computing, aligning with high-demand career domains.
- Career-Ready Training: Emphasis on employability through internships, workshops, expert talks, and industry collaborations.
- Higher Education & Research Opportunities: Solid foundation for pursuing postgraduate studies and research in AI, ML, Data Engineering, etc.
- Wide Career Scope: Equips students to work in diverse sectors — from tech and business to social impact and sustainability.
- Supportive Learning Environment: Student-centric teaching with dedicated mentoring, collaborative learning, and innovation support.