POLYCET Exam on 25-04-2026 (Saturday): Class work suspended for 1st Year B.Tech / BBA / BCA / MBA / MCA. Bus schedule will be shared by Transport Dept. Supplementary Exams will be conducted as usual. 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. Results Declared for I Semester M.Tech Regular (AR 22) and Supplementary (AR 22) examinations, February 2026. Last date to apply for revaluation/recounting is 15th April 2026. Results Declared for IV B Tech I Semester Supplementary examinations, February 2026. Last date to apply for revaluation/recounting is 15th April 2026. Results Declared for III B Tech I Semester Supplementary examinations, March 2026. Last date to apply for revaluation/recounting is 15th April 2026. Results Declared for II B Tech I Semester Supplementary examinations, March 2026. Last date to apply for revaluation/recounting is 15th April 2026. III B.Tech II Semester Honors/Minor Examinations Fee Notification IV Semester MBA Regular (AR22) and Supplementary ( AR22 ) Examinations April 2026 Notification. IV Semester MCA Regular (AR24) Examinations April 2026 Notification Results Declared for I B.Tech I Semester Regular and Supplementary examinations, January 2026. Last date to apply for revaluation/recounting is 18th March 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. Results Declared for III Semester MBA Regular and Supplementary ( AR22) examinations, November 2025. Last date to apply for revaluation/recounting is 5th January 2026. Results Declared for I BBA I Semester Regular exams, Jan 2026.

Department of CSD

Department of CSD

UG PSOs

PSO 1:

Critically design, develop, and evaluate data science projects by making informed decisions based on data analysis and analytics.

PSO 2:

Analyze the role of information and analytics in optimizing business processes and functions.

PSO 3:

Develop effective data analysis models and organize large datasets using data profiling while maintaining quality standards

UNDER GRADUATE PROGRAM