Artificial Intelligence and Data Science

Artificial Intelligence and Data Science Programmes

Course Name : Artificial Intelligence and Data Science
Type : Post Graduation
Year of Approval : 2025-26
Intake : 12
Program Educational Objectives (PEOs)
PEO1 Graduates will be capable to adapt to new computing technology for professional excellence and Research and will be lifelong learners.
PEO2 Graduates will work productively exhibiting ethical qualities for the betterment of society.
PEO3 Graduates will possess leadership qualities, work harmoniously in a team with effective communication skills.
Program Specific Outcomes (PSOs)
PSO1 Develop AI based efficient domain specific processes for effective decision making in several domains.
PSO2 Independently carry out research /investigation and development work to solve practical problems.
Program Outcomes (POs)
PO1 Engineering Knowledge: Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO2 Problem Analysis: Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
PO3 Design/Development of Solutions: Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs — with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is now intrinsic to design.
PO4 Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
PO5 Engineering Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling — recognizing their limitations — to solve complex engineering problems. (Previously titled "Modern Tool Usage.")
PO6 The Engineer and the World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment. This PO merges the old PO6 (Society) and old PO7 (Environment and Sustainability) into one.
PO7 Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; and adhere to relevant national and international laws. (Diversity and inclusion are now explicit additions.)
PO8 Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
PO9 Communication: Communicate effectively and inclusively within the engineering community and with society at large — comprehending and writing effective reports and design documentation, and making 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, to manage projects in multi-disciplinary environments.
PO11 Life-Long Learning: Recognize the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.