M1: To impart quality technical education through outcome-based learning, practical training, and industry-oriented curriculum in Artificial Intelligence and Machine Learning.

M2: To develop competent professionals with leadership, ethical values, problemsolving abilities, teamwork, and technical expertise in Artificial Intelligence.

M3: To promote innovation, research, entrepreneurship, and lifelong learning through industry collaboration, emerging technologies, and professional development opportunities.

PEO1: Graduates will pursue prosperous careers in fields like Artificial Intelligence, Machine Learning, Data Science, and other related computing areas through the application of foundational and advanced technical principles to generate smart solutions to various real-life problems.

PEO2: Graduates will exhibit professionalism and ethical standards, values such as leadership, communication, teamwork, and problem-solving skills while developing and executing responsible, socially useful AI/ML tools.

PEO3: Graduates will continue to engage in higher education, research, entrepreneurship, innovation, and learning throughout their lives in order to adjust to new technologies and help advance Artificial Intelligence and Machine Learning.

PSO1: Graduates will demonstrate their ability to analyze, design, and create intelligent systems with the use of Artificial Intelligence, Machine Learning, Deep Learning, and Data Analytics.

PSO2: Graduates will implement, assess, and deploy AI/ML applications and models using modern technologies, computational instruments, and programming languages.