Overview
Announcements
Time table for Backlog (Batch 2024-2025)Examinations-April 2026
Backlog(2024-25)_CCE_CIAP_ESEP Timetable.pdf
THE NEURAL NEXUS HACKATHON
Where Intelligence Meets Innovation *THE NEURAL NEXUS 2026*What if your AI could think, decide, and act on real problems? The future belongs to intelligent systems—and YOU build them. Get ready for an electrifying hackathon where AI meets real-world...
B.VOC MSE Timetable FH 2026
B.VOC MSE Timetable FH 2026
MSE Time table FH 2026
MSE Time table FH 2026
Supplementary Exam Timetable B.VOC SH 2025
FY. B.Voc Time Table of Supplementary Exam ( Odd Semester)
Building Application Using AGENTIC AI -Post Publicity
On January 31st, 2026, the Department of Artificial Intelligence and Data Science, in collaboration with the Cogniscience Club and CSI-SAKEC, successfully hosted a workshop titled "Building Applications Using Agentic AI". Attended by 100 participants, the event was...
B.Voc Time Table of Supplementary Exam (A.Y 2025 2026) ODD Semester
B.Voc Time Table of Supplementary Exam CCE,CIAP and ESEP
Research Publications
Internships
Events
Books Published
UG Program in Electronics and Telecommunication Engineering is accredited by NBA for 3 years from Academic Year 2024-25, 2025-26, and 2026-27, i.e., up to 30/06/2027.
UG Program in Computer Engineering and Information Technology is accredited by NBA for 3 years from Academic Year 2025-26, 2026-27, and 2027-28, i.e., up to 30/06/2028.
Dr. Pravin Vishnu Shinde
I/c Head of Department
B.E Computer Engineering
M.E Computer Engineering
Ph.D Computer Science & Engineering
Teaching Experience – 14 Years
It is my pleasure to welcome you to the Department of Artificial Intelligence and Data Science at Shah & Anchor Kutchhi Engineering College . Our department is at the forefront of cutting-edge research and education in the rapidly evolving fields of AI and Data Science.
Artificial Intelligence (AI) and Data Science have revolutionized industries worldwide, and our mission is to prepare our students to be leaders in this exciting digital age. Through a blend of rigorous academic programs, hands-on research opportunities, and collaborations with industry partners, we aim to equip our students with the knowledge and skills needed to tackle complex challenges and drive innovation.
Our distinguished faculty members are experts in their respective fields, actively engaged in groundbreaking research that spans machine learning, natural language processing, computer vision, big data analytics, and more. They are committed to nurturing talent, fostering a spirit of inquiry, and inspiring our students to push the boundaries of what is possible.
