The Department of Data Science at Ramdeobaba University (RBU), Nagpur, under the School of Computer Science and Engineering was established with the primary objective of imparting knowledge in the field of computer science and engineering with special emphasis on data science. The department is well-equipped with state-of-the-art infrastructure which includes latest configuration desktops organized in six different laboratories. Latest software, wireless access point, LCD projectors and separate routers are used in the laboratories for teaching purpose. The department has well qualified and highly experienced faculty with expertise in diversified areas of Data Science and AI ML with industry experience. Besides excellence in teaching, there is a committed pursuance of high-quality research and innovation. Faculty members of the department have been involved in research and patent filling. The curriculum is designed to impart students with in-depth knowledge and understanding of the key technologies in data science. Open Electives, Multidisciplinary Minor and MOOCs provide an opportunity for interdisciplinary learning. Option of either full six months internship in VII/VIII semester or full one-year internship in final year is provided in reputed industries and organizations the students. Department takes pride in excellent internships and placements of the final year students and has the distinction of consistently getting good results in all semesters. The student clubs of the department, DASCA and SSIT, organizes various technical and co- curricular activities which ensures all round development of the students.

The department is dedicated to nurturing the next generation of data-driven innovators and problem-solvers. It offers comprehensive specialization tracks in the domain of Data Science which are meticulously designed to align with global standards and emerging industry demands.

The primary objective is to provide graduates with a strong foundation in quantitative knowledge, statistical theory, data mining technologies, and computational tools essential for effective analysis and utilization of big and complex data. The curriculum emphasizes real-world applications, empowering students to interpret intricate datasets and derive actionable insights that drive strategic planning and decision-making across various domains.

The Data Science specialization aims to promote the growth of emerging data scientists by providing students with access to cutting-edge technologies and forward-thinking methodologies. Through a blend of theoretical instruction and experiential learning, students gain proficiency in advanced data science tools, frameworks, and programming languages. The program fosters critical thinking, innovation, and analytical precision — equipping learners to tackle global challenges in data analytics, predictive modeling, and intelligent decision systems.

By working on hands-on projects and real-world datasets, students are encouraged to translate classroom knowledge into industry-ready skills, thus positioning themselves at the forefront of data analytics, artificial intelligence, and machine learning.