A bachelor’s degree program in Artificial Intelligence (BS AI) provides students with a comprehensive understanding of AI concepts and applications. The program typically covers foundational knowledge in computer science, artificial intelligence, mathematics, and statistics. Students delve into machine learning, including supervised and unsupervised learning, as well as deep learning using neural networks. They gain skills in data science, data analysis, and data manipulation. The program may also include topics like natural language processing, robotics, and AI ethics. Students engage in hands-on projects and may have the option to specialize in areas such as computer vision or AI for business. The scope of the program evolves with the rapid advancements in AI technology and its applications.

PEO - 1:Graduates will become confident, self-reliant women professionals applying AI expertise in industry, academia, and entrepreneurship.
PEO - 2:Graduates will design and deploy ethical, intelligent AI solutions, launching startups or leading innovation projects that address real-world problems. (product, startup lens).
PEO - 3:Graduates will advance industry and academic research by applying AI in professional roles and sustaining academia-industry partnerships. (research, academia lens) .
PEO - 4: Graduates will pursue continuous professional growth through certifications and research, using AI to address challenges in healthcare, agriculture, governance, and education. (growth, impact lens)
PEO - 5: Graduates will lead the design of responsible, inclusive AI systems that protect privacy and expand equitable access for marginalized communities.
PEO - 6: Graduates will compete globally in AI while applying international best practices to solve local and regional challenges.

PLO - 1: Academic Education :- Prepare graduates as computing professionals
PLO - 2: Knowledge for solving Computing Problems :- Apply computing, math and domain knowledge to conceptualize computing models
PLO - 3: Problem Analysis :- Identify, formulate, research and solve complex computing problems
PLO - 4: Design. Development Solutions :- Design & evaluate solutions considering societal/environmental factors
PLO - 5: Modern Tool Usage :- Select and apply modern computing tools/techniques
PLO - 6: Individual & Team Work :- Function effectively individually and in diverse/multidisciplinary teams
PLO - 7:Computing Professionalism & Society :- Assess societal, health, legal, cultural impacts of computing practice
PLO - 8: Communication :- Communicate effectively — reports, documentation, presentations
PLO - 9: Ethics :- Commit to professional ethics and responsibilities
PLO - 10: Life-long Learning :-Engage in independent, continual professional development.