About The Department

B. V. Raju College is one of the premier educational institution running under Shri Vishnu Educational Society and Dr. B. V. Raju Foundation. This college was established in year 1999. Padmabhushan Dr. B.V.Raju, is the founder chairman. This college recognized by AICTE, New Delhi and affiliated to Adikavi Nannaya University, Rajahmahendravarm.

BVRC is reinforced by its steering members headed by the Chairman Sri K.V.Vishnu Raju, Vice Chairman Sri R. Ravichandran, and Secretary Sri K Aditya Vissam

The Department was established in 2023. It offers 3 years B.Sc Data Science programme. The Department is having dedicated faculty to inculcate value-based and technology education for overall development of students and society. Excellent academic results, high-end computer labs, well defined and documented academic and administrative processes and student counselling sessions (personal and academic) are the core strengths of the department.

The department conducts Faculty and student Development Programs, Conferences, Seminars, Symposium and workshops on various emerging areas and technologies through our Vishnu Educational Development Innovation Centre


The Department of Data Science aims to be a leading academic institution that prepares students to address the challenges and seize the opportunities of the data revolution. We strive to educate future data scientists who will solve major problems and drive innovation through top-notch research.

  • Provide a robust educational experience that equips students with the necessary knowledge and skills to excel in data science.

  • Foster a vibrant learning environment that promotes creativity, critical thinking, and collaboration among students and faculty

  • Offer challenging academic programs that cover a wide range of data science topics and ensure students are well-prepared for the demands of the field.

  • Provide opportunities for students to gain practical experience through internships, research projects, and industry collaborations.

  • Prepare graduates to apply their knowledge and skills to solve real-world problems and make meaningful contributions to society.

About B.Sc Data Science Course

The Bachelor of Science (B.Sc.) in Data Science is an interdisciplinary undergraduate program designed to equip students with the knowledge and skills needed to analyze, interpret, and manage large datasets. The course combines elements of statistics, computer science, and domain-specific knowledge to provide a comprehensive education in the field of data science.

Career Opportunities

Graduates of the B.Sc. Data Science program are well-prepared for a variety of roles in both the public and private sectors. Career opportunities include data scientist, data analyst, machine learning engineer, business intelligence analyst, data engineer, and many more. These roles span across industries such as technology, finance, healthcare, government, marketing, and more.

Higher Education Opportunities for B.Sc. Data Science Graduates

Graduates with a B.Sc. in Data Science have numerous higher education opportunities to further their knowledge and skills.

They can pursue advanced degrees such as an M.Sc. in Data Science, Artificial Intelligence, Business Analytics, Statistics, or Computer Science with a specialization in Data Science, which offer in-depth training in advanced techniques and applications.

An MBA with a focus on Data Analytics combines business management with data-driven decision making.

For those interested in research and academia, Ph.D. programs in Data Science, Machine Learning, Artificial Intelligence, or Statistics provide opportunities to conduct original research.

Specialized certificate programs, professional courses, and data science bootcamps offer practical training in specific tools and techniques.

Emerging interdisciplinary fields such as Health Informatics, Environmental Data Science, and Social Data Analytics present unique avenues to apply data science in various domains.

These higher education paths not only enhance career prospects but also enable graduates to contribute significantly to the advancement of data science