• AICTE CODE : 3516246374
  • DTE CODE : 6269
  • UNIVERSITY CODE : 11
Padmabhooshan Vasantraodada Patil Institute of Technology (PVPIT), Budhgaon, Sangli
Dr. Vasantraodada Patil Shetkari Shikshan Mandal's
Padmabhooshan Vasantraodada Patil
Institute of Technology (PVPIT), Budhgaon, Sangli
An Autonomous Institute | NAAC Approved | Approved By AICTE New Delhi & Recognized By Government Of Maharashtra,
Affiliated To Dr. Babasaheb Ambedkar Technological University (DBATU), Lonere

Department of Computer Science and Engineering (Artificial Intelligence and Data Science) (UG)

  • Home
  • Department of Computer Science and Engineering (Artificial Intelligence and Data Science) (UG)

Ms. Rupali Ramesh Jagtap

Head of Department

Welcome to the Department of Computer Science and Engineering – Artificial Intelligence and Data Science (CSE-AIDS) at PVPIT, Budhgaon. Established in the academic year 2021-2022, our department is dedicated to providing a strong foundation in artificial intelligence and data science.

With a sanctioned intake of 60 students, we provide a rich learning experience combining academic rigor with practical exposure supported by modern laboratories and experienced faculty members.

Our faculty brings both theoretical and industry expertise, helping students develop technical, ethical, and professional skills for real-world challenges.

Information About Department
 
Year of Establishment Academic Year 2021–2022
Head of Department Ms. Rupali Ramesh Jagtap
Commencement Year 2021–2022
Contact Mobile: 8600600782
Email hod.cseaids@pvpitsangli.edu.in
Under Graduate Programme Intake: 60
Duration: 4 Years
Course Computer Science Engineering (AI & DS)
Total Classrooms 2
Tutorial Rooms 2
Laboratories 3
Vision
 

To achieve excellence in Artificial Intelligence and Data Science through academic quality, research innovation and impactful technological transformation for serving society.

Mission
 

M1: Academic Excellence: Imparting Outcome-Based quality education in Artificial Intelligence and Data Science through an effective teaching–learning process by strengthening fundamentals in mathematics, computing and domain knowledge.

M2: Research and Innovation: Promoting a vibrant research and innovation culture that enhances analytical and problem-solving skills for developing intelligent, data-driven solutions to real-world issues.

M3: Industry-Oriented Learning: Establishing robust industry and academia collaboration for experiential learning, employability and entrepreneurship in emerging technologies.

M4: Holistic and Ethical Development: Nurturing strong ethical values, a spirit of lifelong learning and social responsibility among students for sustainable growth and development.