.To train students in designing and deploying AI systems that enhance human productivity, creativity, and decision-making across domains such as healthcare, education, industry, and governance.

2. To develop proficiency in transforming raw data into actionable knowledge through data science, statistical learning, and intelligent algorithms.
3. To cultivate an entrepreneurial mindset and continuous learning attitude, preparing students to adapt to evolving technologies and research trends in AI.
4. To explore and innovate in areas like explainable AI, natural language interaction, and intelligent interfaces that enable seamless synergy between humans and machines.
5. To apply AI solutions for inclusive growth, addressing challenges in underserved communities and contributing to the UN Sustainable Development Goals (SDGs).