• PO1: Engineering Knowledge: Apply foundational engineering principles to solve complex problems in data science and related fields.

• PO2: Problem Analysis: Critically analyze and solve engineering problems using advanced mathematical and scientific principles.
• PO3: Design/Development of Solutions: Design innovative solutions that meet societal needs while considering ethical and environmental factors.
• PO4: Conduct Investigations of Complex Problems: Conduct research and experiments to derive valid conclusions for engineering challenges.
• PO5: NModern Tool Usage: Utilize modern engineering tools and technologies effectively for predictive modelling and analysis.
• PO6: The Engineer and Society: Assessing societal implications and ethical responsibilities in engineering practice.
• PO7: Individual and Team Work: Collaborate effectively within multidisciplinary teams and diverse settings.
• PO8: Communication: Communicate engineering concepts and solutions clearly and effectively to diverse audiences.
• PO9: Project Management and Finance: Apply engineering and management principles to successfully manage projects.
• PO10: Life-long Learning: Recognize the importance of continuous learning and adaptability in response to technological advancements.
  

• PSO1: Graduates will demonstrate proficiency in designing, implementing, and optimizing advanced algorithms and models for AI and ML applications, such as neural networks, deep learning, and reinforcement learning.
• PSO2: Graduates will be capable of developing intelligent systems that can perceive, reason, and act autonomously or semi-autonomously, applying AI techniques to solve complex problems in various domains.
• PSO3: Graduates will adhere to ethical principles in the development and deployment of AI systems, ensuring fairness, transparency, privacy, and accountability in AI applications, aligned with societal and legal standards.

PEO1: Graduates will demonstrate strong proficiency in AI and ML technologies, algorithms, and software development.

PEO2: Graduates will effectively apply AI and ML techniques to solve real-world challenges across various domains.
PEO3: Graduates will uphold ethical standards and consider societal impacts while developing and deploying AI systems.
PEO4: Graduates will engage in continuous learning to stay current with technological advancements and industry trends.