Prof. Mrs. A. G. Chendke
Head of Department
Welcome to the Department of Computer Science and Engineering (Artificial Intelligence and Data Science) at PVPIT Budhgaon. The department is dedicated to delivering quality education in the emerging areas of Artificial Intelligence, Machine Learning, Data Science and advanced computing technologies. We aim to provide a vibrant academic environment that integrates strong conceptual understanding with practical and industry-focused learning.
Supported by experienced faculty, well-equipped laboratories, industry interactions, workshops, hands-on training sessions, internships and research opportunities, the department inspires students to cultivate creativity, analytical thinking, leadership skills and problem-solving capabilities. Students are actively encouraged to participate in technical competitions, hackathons, collaborative projects and industry engagement activities to strengthen their practical exposure and professional competence.
Our mission is to develop skilled professionals, ethical individuals and lifelong learners capable of contributing to technological innovation and societal progress. The department believes that Artificial Intelligence and Data Science open wide-ranging career opportunities and prepare students to become globally competent and future-ready professionals.
Information About Department
| Year of Establishment | Academic Year 2021–2022 |
| Head of Department | Prof. Mrs. A. G. Chendke |
| Commencement Year | 2021–2022 |
| Contact | Mobile: 8600600782 |
| 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.