Programme Outcomes (PO's)
Programme Outcomes (PO's)
- PO 1 - Disciplinary knowledge: Demonstrate comprehensive knowledge and understanding of core and advanced concepts in Data Science relevant to the Master’s level of study.
- PO 2 - Scientific reasoning: Possess the ability to analyze and interpret Data Science concepts, apply theoretical knowledge, and critically evaluate ideas using logical reasoning in programming, software, and application development.
- PO 3 - Problem solving: Apply acquired skills to address unfamiliar and real-world problems by analyzing, designing, and implementing effective solutions. This includes evaluating and developing algorithms and using commercial software tools for scientific and business applications.
- PO 4 - Environment and Sustainability: Understand environmental and sustainability issues and offer effective, data-driven solutions using domain-specific knowledge in Data Science.
- PO 5 - Research-related skills: Demonstrate the ability to identify research problems, formulate and test hypotheses, analyze data, interpret findings, and report outcomes using contemporary technologies and research methodologies.
- PO 6 - Ethics: Act as a responsible professional by recognizing ethical, cultural, and environmental values, and making informed decisions aligned with moral and societal responsibilities.
- PO 7 - Cooperation/Team work: Work respectfully and efficiently in diverse teams, contributing to group efforts and achieving common goals through effective coordination and collaboration.
- PO 8 - Communication Skills: Communicate ideas and findings clearly and effectively through oral, written, and digital means, adapting the mode and style to suit different audiences and contexts.
- PO 9 - Self-directed and Life-long Learning: Exhibit a proactive attitude towards continuous learning and skill enhancement to adapt to socio-technological advancements and evolving industry demands.
