The department envisions becoming a leader in AI and machine learning education and research, contributing significantly to the advancement of technology and its application for societal benefit. It aims to foster an environment of innovation, collaboration, and excellence.

To provide appropriate facilities for effective teaching learning process. To provide intellectual assets in terms of qualified faculty for upcoming competent. To put in dedicated efforts to develop software skills in the students through programming, workshop, expert lectures and Industry-Institute interactions. To make students competent for higher studies and enhancing their employability in highly recognized techno- industries.

Program Educational Objectives:
Graduates will become proficient in designing and implementing AI and machine learning solutions to solve complex problems across various industries.
Graduates will engage in lifelong learning and adapt to rapidly changing technologies while maintaining ethical standards in their professional practices.
Graduates will demonstrate leadership, effective communication, and teamwork in interdisciplinary projects and initiatives.

Program Specific Outcomes:

Mastery of foundational and advanced concepts in artificial intelligence and machine learning, including algorithms, data analysis, and neural networks.
Ability to apply AI and machine learning techniques to design, analyze, and solve real-world problems, considering ethical and societal impacts.
Proficiency in using modern tools and technologies for developing innovative AI and machine learning applications.

Program Outcomes:
An in-depth understanding of core areas in AI and machine learning.
Skills in critical thinking and problem-solving using AI technologies.
Ability to design and conduct experiments, as well as analyze and interpret data.
Knowledge of ethical considerations in AI application.
Ability to function effectively in multidisciplinary teams.
Proficiency in communicating technical information effectively.
Understanding of the impact of AI solutions in a global and societal context.
Recognition of the need for, and ability to engage in lifelong learning.
Ability to use modern engineering techniques and computing tools for AI and machine learning.
Understanding of professional and ethical responsibility.
Ability to manage projects in multidisciplinary environments.
Capability to innovate and embrace emerging AI technologies.