PO 1 - Data Science and AI Knowledge: To develop the necessary skills and knowledge in the field of data science and artificial intelligence, including understanding data analysis techniques, machine learning algorithms, and AI applications in businesses.
PO 2 - Management Knowledge: To develop a holistic understanding of core management concepts and be able to apply them in strategic decision-making processes related to data science and AI projects.
PO 3 - Proficiency in Data Analytics Tools: To gain hands-on experience with industry-standard data analytics tools, including SAS software, and become proficient in their usage for data manipulation, analysis, and visualization.
PO 4 - Managerial and Societal Impact: To develop managerial capabilities to assess and address societal implications and ethical considerations related to data science and AI, including issues of privacy, fairness, bias, and accountability.
PO 5 -Environment and Sustainability in Data Science: To understand the environmental impact of data science and AI practices and be able to apply management knowledge to develop sustainable and responsible solutions that align with the principles of environmental sustainability.
PO 6 -Ethical Data Practices: To learn and apply ethical principles and best practices in data science and AI, ensuring responsible data collection, usage, and decision-making, while upholding professional ethics and norms in the field.
PO 7 -Collaboration and Teamwork: To develop effective collaboration and teamwork skills, enabling graduates to work in cross-functional teams and lead diverse teams of professionals in data science and AI projects.
PO 8 -Effective Communication: To be able to communicate complex technical concepts and insights effectively to both technical and non-technical stakeholders, facilitating informed decision-making and driving business and societal impact.
PO 9 -Contribution to National Development: To develop an understanding of national needs and priorities and align data science and AI initiatives with national development goals, contributing to the overall well-being and progress of the nation.
PO 10 -Technology Competence: To gain a comprehensive understanding of different technology platforms and tools used in data science and AI, enabling graduates to leverage these technologies for effective decision-making and innovation.
PO 11 -Research and Innovation: To cultivate research aptitude and encourage graduates to engage in research, discovery, and synthesis of new knowledge and innovative solutions in the field of data science and AI.
PO 12 -Critical Analysis and Problem-Solving: To develop a strong analytical mindset and problem-solving skills, enabling graduates to critically analyze complex data-related problems and propose comprehensive solutions using data science and AI techniques.
