About Department

About Department

The Department of Artificial Intelligence and Data Science (AI&DS) at Pune Vidyarthi Griha’s College of Engineering and Shrikrushana S. Dhamankar Institute of Management, Nashik was established in the Academic Year 2021–22 with an initial intake of 60 students. Due to the increasing demand and vast scope in the field of Artificial Intelligence and Data Science, the intake capacity was enhanced to 120 students from the Academic Year 2025–26.

Artificial Intelligence and Data Science is an interdisciplinary field focused on developing intelligent systems capable of learning, reasoning, problem-solving, and data analysis. The department aims to prepare students with advanced technical knowledge and practical skills in emerging technologies such as Artificial Intelligence, Machine Learning, Data Analytics, Cloud Computing, Cyber Security, and Internet of Things (IoT). These technologies are transforming industries including healthcare, finance, manufacturing, retail, and research.

The department is equipped with six well-established laboratories, namely Artificial Intelligence, Data Analytics, Machine Learning, Cloud Computing, Cyber Security, and IoT laboratories. Modern classrooms and highly configured computer systems provide students with an effective environment for academic learning, research, and project development.
The department is supported by highly qualified and experienced faculty members who guide students in academics, innovation, research activities, and industry-oriented skill development. The overall objective of the department is to develop competent professionals capable of contributing to next-generation intelligent technologies and data-driven solutions.

Prof. Sanket G.Chordiya(Head of Department)

Vision:

To achieve excellence in AI&DS through quality education, research and innovation to serve industry and society.

Mission:

  1. To develop globally competent engineers who are skilled in the area of Artificial Intelligence & Data Science.
  2. To make the student capable to accept the challenges of changing modern technologies.
  3. To install professional ethics and social values that cater to the requirements of both industry and society.

Program Outcomes

  • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
  • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.(WK8).
  • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
  • PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
  • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural,language, and learning differences
  • PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8).

Program Specific Outcomes

  • PSO1- Professional Skills-The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, networking, artificial intelligence and data science for efficient design of computer-based systems of varying complexities.
  • PSO2- Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
  • PSO3-Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments and platforms in creating innovative career paths to be an entrepreneur and to have a zest for higher studies.

Course Outcomes

AI &DS  Department  Course Outcomes(COs)

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