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 Business intelligence 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)

  • 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 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; and adhere to relevant national and international laws.
  • 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 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 Business Intelligence.
  • PSO3 : Manage and secure data and IT infrastructure while demonstrating effective communication, project management, and ethical practices in professional settings.