Artificial Intelligence (AI) And Data Science

About Department

About Department

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

At Smt.Indira Gandhi College of Engineering, Ghansoli, we are committed to shaping the future of technology by empowering our students with cutting-edge knowledge and skills in Artificial Intelligence (AI) and Data Science (DS). Our department is a hub of innovation, where creativity meets technical excellence. With a relevant curriculum, state-of-the-art facilities, and a team of dedicated faculty, we strive to prepare our students to tackle real-world challenges and lead in this transformative era of intelligent systems and data-driven decision-making.

Our focus is not just on academic excellence but also on fostering research, industry collaboration, and ethical practices to ensure our graduates contribute meaningfully to society. Whether you are a prospective student, a parent, or an industry partner, I invite you to explore our department and join us on this exciting journey of discovery and impact.

Together, let’s build a smarter tomorrow!

scope (Career Opportunities)

Graduates of the Artificial Intelligence and Data Science program have diverse career opportunities across industries such as IT, healthcare, finance, manufacturing, and smart technologies. They can work as Data Scientists, AI or Machine Learning Engineers, Data Analysts, Big Data Engineers, and AI Researchers, contributing to the development of intelligent and data-driven solutions. The program also prepares students for roles in emerging areas like computer vision and natural language processing, as well as for higher studies, research careers, and entrepreneurship in AI and Data Science.

Vision and Mission

Vision and Mission

Vision of the College

To serve and have a transformative impact on society by constantly pursuing excellence in technical education, innovation and entrepreneurship for human development with strong ethical values.

 Mission of the College

  • Serve and help transform society by graduating talented, broadly educated engineers, equipped with state of art technology resources for developing sustainable solutions.
  • Academic excellence in Science, Engineering and Technology through dedication to duty, commitment to research, innovation in learning and faith in human values.
  • Cultivate the spirit of entrepreneurship and the connection between academia and industry that fosters problem solving through collaboration
  • Enable the students to develop into outstanding professionals with high ethical standards capable of creating, developing and managing global engineering enterprises.

Vision of the Department:

To emerge as a center of excellence in the field of  Artificial Intelligence and Data Science education, research , innovation, and societal,ethical solutions to national and global challenges.

Mission of the Department:

  • To deliver high-quality education in AI and Data Science that nurtures academic excellence, human values, and a spirit of innovation.
  • To promote interdisciplinary research and collaborative initiatives that contribute to technological advancements and societal development.
  • Empower students to become exceptional professionals with strong ethical values, equipped to create, develop, and lead global engineering enterprises.

PO and PSO

PO and PSO

Program Outcomes (PO)

i) Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 

ii)Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. 

iii) Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

iv) Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions for complex problems:  that cannot be solved by straightforward application of knowledge, theories and techniques applicable to the engineering discipline as against problems given at the end of chapters in a typical text book that can be solved using simple engineering theories and techniques;  that may not have a unique solution. For example, a design problem can be solved in many ways and lead to multiple possible solutions;  that require consideration of appropriate constraints / requirements not explicitly given in the problem statement such as cost, power requirement, durability, product life, etc.;  which need to be defined (modeled) within appropriate mathematical framework; and  that often require use of modern computational concepts and tools, for example, in the design of an antenna or a DSP filter.

v) Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

vi) The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

vii) Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

viii) Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

ix) Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

x) Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

xi) Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. 

xii) Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change. 

 

Program Specific Outcome (PSO)

  • Apply the knowledge of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science techniques to design intelligent systems and solve real-world problems.
  • Use modern tools, programming languages, and frameworks to build intelligent systems and data-driven applications.
  • Develop AI solutions that are socially responsible, ethically sound, and aligned with sustainable development goals.

Faculty and Staff

Faculty and Staff

Teaching Faculty

Dr. Shankar Madhav Patil
PhD, ME, BE
Dr. Vaishali M. Shinde
PhD (Computer science & Engineering)
Prof. Manisha M.Punse
B.E. (Information Technology), M.E.(CSIT)
Dr. B. Manoj Kumar
M.Tech, Ph.D
Prof. Nirosha Uppu
Ph. D. pursuing in Computer Science & Engineering,
Master of Computer Science & Engineering,
Bachelor of Computer Science & Engineering

Non Teaching Staff

Rohidas Pachpande

Diploma in Industrial Electronics
30 years experience in SIGCE

Bhagyashri Indrajit Patil

Designation: Lab Assistant
Qualification: BCA

Committees

Committees

Course Details

Course Details

Laboratories

Laboratories

Events and Activities

Events and Activities

Notices

Notices

Academic Year 2025-26 {Reverse chronological order}

sr Subject Date Link
1 Exam Notice  AY: 2025-26 Notice link
2 Department Notice AY: 2025-26 Department link
3 PAQIC Notice AY: 2025-26 PAQIC link

Collaboration and MoUs

Collaboration and MoUs

Name of Company / Institution 

  • Overview of Collaboration
  • Events
  • MoU Link

NO Mou

 

Name of Company / Institution 

  • Overview of Collaboration
  • Events
  • MoU Link

Contact Us

Contact Us
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