Announcements
🚀 Summer internship/hands on Skill Development Program on “ML Problem – Solving Boot camp” 🚀
Department of Artificial Intelligence & Data Science at Shah & Anchor Kutchhi Engineering College Presents!!!!! Summer internship/hands on Skill Development Program on “ML Problem - Solving Boot camp" We are excited to invite applications for our...
B. Voc End Semester Examination Practical (ESEP) Timetable FH2025
B. Voc ESEP
Carry On ESEP Timetable FH2025
ESEP_CarryOn_FH 2025_Timetable
End Semester Examination Practical (ESEP) Timetable FH2025
ESEP FH-2025 Timetables
Mid Semester Timetable (Carry On Students) FH-2025
MSE Timetable for Carry On FH2025
IA KT Timetable FH2025
IA KT Timetable FH2025.pdf
Mid Semester Timetable (Medical Case Students) FH-2025
Medical_MSE_TT.pdf
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.