Department Of Data Science

The Department of Data Science at Swami Vivekananda University, Barrackpore, is the hub for nurturing the skills of future Data Scientists. From the very beginning, the department has been training aspirants to master the in-demand skills of the Data Science industry. The teaching professors associated with the department are highly educated and hold years of experience in this profession. With their dedication and commitment to preparing suitable graduates for the industry, they have been working tirelessly for a brighter future for students. Thanks to the art-of-state infrastructure, the Data Science Department conducts regular workshops, seminars, special lectures, and innovative project presentation sessions to bring out the best in students. Students are also encouraged to work on real-life projects and internships in leading companies to gain hands-on experience. The Department of Data Science at Swami Vivekananda University, Barrackpore, is the stepping stone for success for aspiring Data Scientists.

Part of the School of Computer Science.

Our Courses

B.Tech in Data Science

The programme blends classroom instruction, laboratory or field practice and continuous internal assessment. Students a…

Master of Science in Data Science

The programme blends classroom instruction, laboratory or field practice and continuous internal assessment. Students a…

Mission & Vision

The primary goal of the Department of Data Science is to advance knowledge and education in its field. The department serves various objectives, including:

Education: Providing high-quality education at undergraduate, postgraduate and doctoral level, equipping students with a solid foundation in both principles and practical skills.
Research: Advancing the state of knowledge through research, with faculty and students working on projects that contribute to the discipline.
Innovation: Encouraging innovation and entrepreneurship, and supporting ideas that address real-world problems.
Professional Development: Preparing students for their careers through internships, industry connections and structured training.

Core Values

The commitments that shape how the Department of Data Science teaches and works.

Integrity: Honest conduct in study, assessment and research, upheld by a clear academic integrity policy.
Excellence: Continuous improvement of curriculum, laboratories and teaching, guided by student feedback each semester.
Collaboration: Open exchange between students, faculty, industry partners and other institutions.
Inclusivity: Support for every student regardless of background, with mentoring for those who need it.

Salient Features

What a student gets access to in the Department of Data Science:

Well-Equipped Laboratories: Practical work is mapped to the syllabus, with laboratories open beyond scheduled class hours.
Industry-Aligned Curriculum: The syllabus is reviewed with industry members on the Board of Studies.
Experienced Faculty: Doctorate and postgraduate faculty at a healthy student-to-teacher ratio.
Training & Placement: Aptitude and interview training from the pre-final year, run by the central training and placement cell.

Why This Department

Reasons students give for choosing the Department of Data Science here:

Hands-On From Year One: Laboratory and field work begins early rather than waiting for the final-year project.
Mentoring: Every student is attached to a faculty mentor who follows their progress across the programme.
Certifications: Value-added certification courses run alongside the degree.

Message Desk

Welcome to the Department of Data Science. Our work here is less about teaching a fixed set of tools than about building the foundation that lets a graduate pick up the next one on their own, because every discipline changes faster than a syllabus can be revised.

Our faculty combine teaching with active research, and our laboratories stay open to students who want to build something beyond the prescribed practicals. Alongside the syllabus we run projects, industry visits and certification courses, so a student leaves with a record of work as well as a transcript.

If you are considering this department, come and see the campus - talk to the students and the teachers, not just the prospectus.

Head of the Department

Department of Data Science

OTHER DEPARTMENTS IN THIS SCHOOL

Department Of Computer Application Department Of Advanced Networking & Cyber Security Department Of Multimedia & Animation