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Program Educational Objectives (PEOs)

PEO 1 - Graduates will exhibit technical competency and leadership to devise innovative data-driven solutions for real-world problems in an interdisciplinary setting.
PEO 2 - Graduates will achieve professional success, pursue advanced studies, and contribute to research in Data Science and related fields.
PEO 3 - Graduates will uphold social responsibility, adhere to ethical practices, and demonstrate effective entrepreneurial skills for the benefit of society and the environment.

Program Outcomes (POs) (Aligned with NBA’s 12 Graduate Attributes)

PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO3: Design/Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate considerations for the public health and safety, and the cultural, societal and environmental considerations.
PO4: 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.
PO5: Modern tool usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and consequent responsibilities relevant to the professional engineering practice.
PO7: 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.
PO8: Ethics: Apply the ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
PO10: Communication: Communicates effectively on complex engineering activities with the engineering community and with society such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
PO11: 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 team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadcast context of technological change.

Program Specific Outcomes (PSOs)

PSO 1 - Apply principles of statistics, machine learning, and data-driven design thinking to develop models, perform analysis, and extract insights from structured and unstructured data.
PSO 2 - Design and implement software and analytical systems using modern tools and technologies such as Python, R, Hadoop, Spark, cloud platforms, and AI frameworks, aligned with current industry practices.
PSO 3 - Develop critical and ethical solutions tailored to domains like healthcare, finance, and smart systems by integrating data science with domain knowledge, while addressing concerns around bias, privacy, and fairness.

 

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