| PO-1 |
Disciplinary Knowledge: Exhibit a profound mastery of theories, methodologies, and tools
in the Data Science field. |
| PO-2 |
Research Related skills: Utilize independent research to create findings and solutions to
address the real-time problems. |
| PO-3 |
Problem Solving: Apply employability skills to confidently navigate in the job market and
excel in Visualizing Tools in diverse professional settings. |
| PO-4 |
Moral and ethical awareness: Demonstrate a strong commitment to ethical and moral
values, actively engage in activities that promote Emerging Technologies in Data Science. |
| PO-5 |
Lifelong Learning and Communication Skills: Embrace a commitment to professional
development, possessing the Technical Skills to adapt to the evolving trends, engage in self-
directed learning and continuously enhance their expertise. |
| PO-6 |
Critical Thinking: Apply the mathematical techniques, software development strategies,
tools and organize information system and services to draw solution to complex and
multidisciplinary scenario. |
| PO-7 |
Self-directed Learning: Design solutions for Web Technologies with digitalized
environmental considerations. |
| PO-8 |
Scientific Reasoning: Enhance AI models for predictive analytics to forecast trends, identify
patterns, and anticipate future outcomes, enabling proactive decision-making and risk
mitigation strategies. |
| PO-9 |
Reflective Thinking: Employ learning to personalize innovative experiences in concept such as
Machine learning and Deep learning. |