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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
(An Autonomous Institute affiliated to Savitribai Phule Pune University)
AICTE APPROVED | ISO 9001:2015 | NAAC A+ Grade | NBA [All Eligible UG Programs]
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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
AFFILIATED TO SPPU | AICTE APPROVED | ISO 9001:2015
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Artificial Intelligence and Data Science Engineering

Vision

The Department of AI & Data Science aspires to be a pioneer in the field of AI and Data Science education, innovation and research producing globally competent professionals.

Mission

• Provide comprehensive and challenging academic training aimed at career excellence while fostering ethical and moral values.
• Cultivate a research and innovation environment for faculty and students through collaborative, interdisciplinary efforts, driving technological progress.
• Cultivate leadership potential in students by enhancing their analytical, problem-solving, and communicative capabilities.

About Department

The Bachelor Degree Programme in Artificial Intelligence & Data Science (AI & DS) started in the academic year 2023-2024 with an intake capacity of 60. The department of AI & DS has been established with the vision to impart and strengthen core as well as technological knowledge base in all dimensions of this emerging area.

The offered curriculum is interdisciplinary in nature by fine tuning computer science discipline with Mathematical Foundations, Artificial Intelligence Techniques, Machine Learning Principles, Statistical Methods, Data Science principles and methodologies. Consequently, by pursuing this specialized programme, the students will be able to apply all aforesaid interdisciplinary skills to perform data processing, analysis and visualization in many real-time applications.

This fact opens up lucrative career openings for AI & DS students in public as well as private sectors in many domain such as business analytics, health care, production, manufacturing, e-commerce, social networking, gaming, sports, entertainment etc. The job portfolio for AI &DS students encompasses wider pool of opportunities such as Data Scientist, Data Analyst, Artificial Intelligence Engineer, Machine Learning Engineer, Software Engineer, Software analyst and developer, AI Algorithm specialists, Research scientists, AI &ML Engineer, Machine Learning and Artificial Intelligence Scientist, AI Software Engineer and many more.

The department of AI & DS is aiming at providing the academic excellence, industry exposure and outstanding career opportunities to the students by offering them holistic learning environment. The department offers best infrastructure and computing facilities to students. The Head of the department, Dr. Shweta C. Dharmadhikari , and the team of talented, enthusiastic, and dynamic faculty members are committed to continue legacy of this prestigious institute and take the department to greater heights.

Our Strengths

  • Holistic student learning environment
  • Quality student-intake
  • Strong PICT alumni base
  • Talented and motivated staff members
  • Well-equipped laboratories with state-of-the-art infrastructure

    • Goals

    Long Term Goals:

  • Establishment of State of the art research & development facilities in the emerging areas.
  • Strengthen industry academia collaboration in order to attract opportunities for internships, sponsored projects , hands on modern tools.
  • Fetch grants from funding agencies, industries to develop new products and processes, increase the affordability and innovative capabilities.

    • Short Term Goals:

  • Uplift academic performance of students by using innovative teaching learning techniques.
  • Organize training programs, workshops and short-term certificate courses for enhancements of competency and employability.
  • Publish research papers, white papers in reputed quality journals / renowed technical forums.

  1. Apply knowledge of AI and Data Science principles to solve complex technical problems in diverse professional settings that meet the evolving needs of industry and society.
  2. Demonstrate effective communication and teamwork skills in collaborative environments.
  3. Establish prosperous careers in industry, academia, or as entrepreneurs while engaging in continuous learning to stay current with evolving technologies.
  1. Develop and deploy intelligent systems : Design, develop, and evaluate AI-driven solutions to address real-world problems to make realistic decisions in problem solving .
  2. Extract and analyze meaningful insights from complex data : Apply data science techniques to gather, clean, process, analyze and visualize data and effectively communicate the resulting insights to support informed decision-making.
    1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
    2. 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.
    3. Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    10. 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.
    11. 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.
    12. Lifelong 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.

Head Of Department

CONTACT INFORMATION

  • 020-24371101
  • hodaids@pict.edu
  • Building 'A3',PICT,Pune.

 

Last updated: April 23, 2025 at 09:45 am