Department of Artificial Intelligence and Data Science Vision & Mission

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Vision

To achieve excellence in Artificial Intelligence and Data Science education by developing skilled, innovative, and ethical professionals dedicated to societal betterment.

Mission

  • M1 : To impart high-quality education in Artificial Intelligence and Data Science with a strong foundation in computing, mathematics, and domain-specific knowledge.
  • M2 : To integrate emerging technologies such as Machine Learning, Deep Learning, Cloud Computing, Data Analytics, Cybersecurity, and Computational Biology into the curriculum to meet evolving industry demands.
  • M3 : To foster professional ethics, effective communication, teamwork, leadership, and a sense of social responsibility among students to contribute positively to society.

Program Outcomes (POs)

Engineering Graduates will be able to:

  • PO1: Engineering Knowledge: Apply mathematics, science, and engineering fundamentals to complex problems.
  • PO2: Problem Analysis: Analyze complex engineering problems to reach substantiated conclusions.
  • PO3: Design/Development of Solutions: Create solutions for complex problems, considering public health, safety, and cultural needs.
  • PO4: Conduct Investigations of Complex Problems: Use research-based methods to analyze data and provide valid conclusions.
  • PO5: Modern Tool Usage: Apply appropriate techniques and IT tools to complex engineering activities.
  • PO6: The Engineer and Society: Evaluate societal, health, safety, legal, and cultural issues within professional practice.
  • PO7: Environment and Sustainability: Understand the impact of engineering solutions on the environment and sustainability.
  • PO8: Ethics: Apply ethical principles, commitment to professional ethics, and responsibilities.
  • PO9: Individual and Team Work: Function effectively as an individual or leader in diverse, multidisciplinary teams.
  • PO10: Communication: Communicate effectively, including report writing and presentations.
  • PO11: Life-Long Learning: Engage in independent and life-long learning in the context of technological change.

Program Educational Objectives (PEOs)

  • PEO1 : Apply core principles of Artificial Intelligence and Data Science to design and develop intelligent systems and data-driven solutions for real-world challenges.
  • PEO2 : Demonstrate ethical responsibility, sustainability awareness, and a commitment to lifelong learning in professional careers.
  • PEO3 : Engage in innovation and entrepreneurship to drive technological advancements and societal impact.

Program Specific Outcomes (PSOs)

  • PSO1 : Apply AI, Machine Learning, and Data Science techniques to analyze complex datasets, extract insights, and build predictive models for decision making.
  • PSO2 : Design, develop, and deploy intelligent systems using modern tools, frameworks, and technologies such as Deep Learning, NLP, IoT, Cloud Computing, and Computational Biology.
  • PSO3 : Manage and secure data and IT infrastructure while demonstrating effective communication, project management, and ethical practices in professional settings.