Programme Outcomes
PO No. | Upon completion of the M.Sc. Data Science Degree Programme, the graduate will be able to |
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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. |
Programme Specific Outcomes
PSO No. | Upon completion of these Programme the learners would have the ability to |
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PSO-1 | Develop computer programs in the fields related to Artificial Intelligence, Advanced Data Science techniques for efficient design of computer- based systems of varying complexity. |
PSO-2 | Implement ethical sustainable solutions in the areas of Data Science using programming |
PSO-3 | Apply the Knowledge in the field of data science and experience an environment conducive in cultivating skills for successful career, entrepreneurship and higher studies in Robotics. |