📦 PO1: Engineering Knowledge

• Demonstrate domain-specific knowledge coupled with a foundation in science, technology, engineering, and mathematics (STEM), enhancing the ability to apply computing skills in various professional domains.

📦 PO2: Problem Analysis

• Develop strong problem-solving abilities by applying critical thinking, algorithmic thinking, and computational and model-based approaches to address complex challenges in diverse domains.

📦 PO3: Design/Development of Solutions

• Demonstrate a deep understanding of data science principles by designing experiments and simulations, and analyzing and interpreting datasets for informed decision-making in various applications.

📦 PO4: Conduct Investigations of Complex Problems

• Be aware of contemporary issues facing industry and society, and engage in research and development activities, contributing to advancements in AI and ML through innovative projects and solutions.

📦 PO5: Modern Tool Usage

• Apply the latest AI and ML techniques, skills, and tools to real-world scenarios, exhibiting competence in data engineering, developing models for data analysis, pattern recognition, decision-making, and managing and deploying software solutions in multidisciplinary environments.

📦 PO6: The Engineer and Society

• Develop essential life skills, including adaptability, resilience, and a growth mindset, to navigate dynamic professional environments and contribute meaningfully to society.

📦 PO7: Environment and Sustainability

• Understand and assess the reliability, dependability, and trustworthiness of AI and ML-based systems, and evaluate their impact in global, economic, environmental, and societal contexts.

📦 PO8: Ethics

• Understand and apply ethical principles in computing, AI, and ML, considering the societal impact of the work and making ethically informed decisions.

📦 PO9: Individual and Team Work

• Function effectively as an individual and as a member or leader in diverse and inclusive teams, and in multidisciplinary, face-to-face, remote, and distributed settings.

📦 PO10: Communication

• Learn to communicate complex technical concepts through powerful data visualizations, facilitate collaboration, and translate technical information for diverse audiences.

📦 PO11: Project Management and Finance

• Master programming languages and paradigms, showcasing the ability to develop efficient and scalable software solutions, considering realistic constraints such as economic, environmental, social, ethical, health, and safety, and sustainability.

📦 PO12: Life-long Learning

• Recognize the need for, and have the ability to, engage in independent and lifelong learning and critical thinking in the face of a rapidly evolving technological landscape that impacts all aspects of work and life across all disciplines.