PO's and PSO's

Program Outcomes (POs)

PO1: Apply mathematical, statistical, and computational principles to analyze and solve complex real-world problems using data-driven approaches.

PO2: Acquire, process, and manage large datasets, and apply analytical and machine learning techniques to extract meaningful insights.

PO3: Demonstrate proficiency in modern data science tools, programming languages, and big data technologies for effective analysis and visualization.

PO4: Design and implement data-driven research, interpret findings, and communicate results effectively through reports and visualizations.

PO5: Adhere to ethical standards, ensure data privacy, and practice responsible and transparent data handling.

PO6: Engage in continuous learning, teamwork, and innovation to address societal and industrial challenges through sustainable data science solutions.

Program Specific Outcomes (PSOs)

PSO1 – Apply statistical methods, machine learning algorithms, and computational techniques to analyze complex datasets, develop predictive models, and generate actionable insights.

PSO2 – Design, develop, and manage data systems using modern tools and technologies; effectively visualize and communicate data-driven findings for informed decision-making.

PSO3 – Undertake research and apply data science methodologies to solve real-world problems in business, healthcare, social sciences, and other interdisciplinary domains, adhering to ethical and professional standards.