Program Educational Objectives 

Program Educational Objectives are broad statements that describe the career and professional accomplishments that the program is preparing graduates to achieve.

1. Core competence - To produce graduates equipped with cutting-edge skills in Artificial Intelligence (AI) and Data Science (DS), with expertise in domains such as Machine Learning (ML), Natural Language Processing (NLP), Generative AI, enabling them to collaborate effectively in interdisciplinary teams to solve real-world industrial and societal challenges.
2. Problem solving skills and Ethics - To empower graduates to think critically, apply mathematical, computational, and ethical frameworks, and design scalable, secure, and fair AI-driven systems.
3. Professionalism and Lifelong Learning - To inculcate the ability to adapt to changing technology through continuous learning and contribute to research, innovation, and entrepreneurship in AI and Data Science.

Program Specific Outcomes 

• Demonstrate proficiency in essential concepts of computer science and data science and programming solutions.
• Formulate robust software design, execution, and testing strategies employing a software paradigms and Artificial Intelligence knowledge to solve real world problems.
• Apply the techniques of AI and Data Science for forecasting future events in the domain of Healthcare, Education, and Agriculture, Automation, Transport etc