To uniquely position the department and to establish synergistic relationships across the entire spectrum of disciplines involved with computing by our faculty contributing to Computer Science and devoting themselves to take the maximal advantage of modern Computer Science to solve a wide range of complex, scientific, technological and social problems.

1. To pursue our vision by striving for excellence in creating, applying, and imparting knowledge in Computer Science and
2. To pursue a comprehensive educational system, research in collaboration with industry and Government and to disseminate knowledge through scholarly
3. To provide service through professional societies to the community, the state, and the

1. Graduates, within four years of graduation, should demonstrate peer-recognized expertise together with the ability to articulate that expertise and use it for contemporary problem- solving in the analysis, design, implementation and evaluation of artificial intelligence / data science
2. Graduates, within four years of graduation, should demonstrate engagement in the engineering profession, locally and globally, by contributing to the ethical, competent, and creative practice of engineering or other professional careers.
3. Graduates, within four years of graduation, should demonstrate sustained learning and adapt to a constantly changing field through graduate work, professional development, and self-
4. Graduates, within four years of graduation, should demonstrate leadership and initiative to ethically advance professional and organizational goals, facilitate the achievements of others, and obtain substantive
5. Graduates, within four years of graduation, should demonstrate a commitment to teamwork while working with others of diverse cultural and interdisciplinary

1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering
2. Problem Analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering
3. Design/Development Of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental
4. Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the
6. The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering
7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering
9. Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinarysettings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear
11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary
12. Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

1. Professional Skills: Design and analyze optimal artificial intelligence solutions to real-world problems in data analysis, augmented reality, virtual reality, and robotics
2. Technical Skills: Use modern AI/Data Science open-source software tools and hardware for product development
3. Entrepreneurship Skills: Ability to lead a product development company/team.
4. Research Skills: Ability to use the acquired knowledge to identify real-world research problems

The learner can select the course he is interested to study during a semester. The course can be opted by the learner, with the prerequisite courses completed by the learner. For courses which do not have prerequisite, the learner can study the course in any semester, whenever its offered.

The learner should have earned the credits in each category namely HS, BS, ES, PC, PE, OE, MC to become eligible for the award of the degree.