Department of CSE (DS)

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About the Department

Data Science is an offshoot of the Computer Science domain and its relevance and importance in solving today’s technologically complex problems has been exponentially growing. With the present high volume data and unstructured in many cases that is generated across domains, there is a strong need to train students in developing involved techniques in data analytics and derive intelligent inferences from these complex data. To cater to this demand, the CSE (Data Science) department was established in the academic year 2021-22. Presently, the department has an annual intake of 120 students. The department has highly qualified faculty from premier institutes in India. Many of the faculty have a very rich industry and R&D experience from within India and abroad. Students have an opportunity to involve in research during their UG and PG studies and this will pave the way for research-based career avenues for them. The high calibre teaching faculty and the excellent infrastructure creates a stimulating ambience for students to graduate to high quality data engineers and scientists.

Vision

Empowering students to solve complex real-time computing problems involving high volume multi-dimensional data.

Mission

  • Provide quality undergraduate education in both theoretical and applied computer science to solve real world problems.
  • Conduct research to develop algorithms that solve complex problems involving multi-dimensional high volume data through intelligent inferencing.
  • Develop good linkages with industry and research organizations within India and abroad to expose students to global problems and find optimal solutions.
  • Creating confident Graduates who can contribute to the nation through high levels of commitment following ethical practices and with integrity.

HOD's Message

On behalf of the management, faculty and the support staff of the CSE (Data Science) department of RNSIT, it is my pleasure to welcome you to the department.

The CSE domain has made strides in its application to most of the knowledge domains and its importance is increasing by leaps and bounds. The huge variety and volume of data being generated by applications across domains calls for research in the development of intelligent algorithms for analysis and knowledge discovery.

Firstly, for a current or prospective student, I wish to assure you that you will find abundant opportunities to integrate the theory with hands-on project-based experiences, as a part of the teaching and learning process. You will also have opportunities to be involved in applied research which will add a new dimension to your career exploration towards a challenging job in the industry as well as for your higher studies.

RNSIT has developed a good Eco-system to work with industries/R&D organizations to explore new horizons of knowledge, with emphasis on industry-relevant problems. There is also an honest intent to work collaboratively on problems of societal impact. From this viewpoint, I also welcome industry experts to be a part of this exciting journey of collaborative learning.

Dr. Mohan H S

Latest Events

ARAXYS 2023 (Technical Fest)

ARAXYS conducted by the official Data Science Club of RNSIT - ESPONICA, was an exciting one-day show, conducted on 2nd August 2023. The students of CSE (Data Science) of RNSIT organized a range of technical and non-technical events.

Parent Proctor Meet 2023

Proctor Meet was organized for the 4th and 2nd semester CSE (Data Science students) on 22nd July 2023, fostering a valuable interaction between the students, their designated proctors, and parents. The event provided a platform for students to connect with their proctors in a more personalized and engaging manner, while also involving parents to strengthen the support system.

Medal of Merit

Medal of Merit was arranged on 4th August 2023 to felicitate students for their academic excellence.

Achievements of The Department

Placement Statistics

Gallery

Lush Green Campus with Top Placement Opportunities

Student Testimonials

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