Results Declared for IV Semester MBA Regular (AR22) & Supplementary (AR22) examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for IV Semester MCA Regular (AR24) examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for I BBA I Semester Supplementary examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for I BCA I Semester Supplementary examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for III B Tech II Semester Regular (AR23) & Supplementary (AR20 & AR18) examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for II B Tech II Semester Regular (AR23) & Supplementary ( AR23, AR20 & AR18) examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for I B Tech II Semester Supplementary examinations, May 2026. Last date to apply for revaluation/recounting is 6th June 2026. Results Declared for I B Tech I Semester Supplementary examinations, April 2026. Last date to apply for revaluation/recounting is 6th June 2026. AICTE has approved an increase in intake for B.Tech – CSE (AI & ML) from 180 to 240 seats. Additionally, a new program M.Tech – CSE (AI & ML) with an intake of 12 seats has been sanctioned from the Academic Year 2026–27. All students and staff are hereby informed that the Transport Charges and Hostel Fee for the Academic Year 2026–27 will be announced in the last week of May 2026. Access the AICTE Web Portal for Student and Faculty Feedback at: https://facilities.aicte-india.org/feedback/ Click here to provide your valuable feedback.
Department of CSD

Vision & Mission

Our Vision

To lead in Data Science education and research, empowering students to innovate, solve problems, and make impactful decisions using data-driven technologies for the benefit of society and industry.

Our Mission

  • Provide a strong foundation in data science for innovative thinking and problem solving
  • Incorporate practical skills in database design, implementation, and decision support systems to enhance business processes
  • Prepare students in creating effective data models, maintain data quality, gain insights, and manage large datasets.