Artificial Intelligence and Data Science

Long Term Goals

Artificial Intelligence and Data Science

• To create a center of excellence in Artificial Intelligence and Data Science, driving groundbreaking research and innovation in AI, machine learning, and big data analytics.
• To develop industry-ready professionals and leaders who can drive AI-driven transformations across various domains, including healthcare, finance, cybersecurity, and automation.
• To contribute to the advancement of AI through interdisciplinary collaboration, integrating AI with emerging technologies like IoT, blockchain, and cloud computing for real-world impact.

Short Term Goals

• Building a Strong Foundation
• To achieve 100% academic result
• To achieve 80% placements

Program Educational Objectives (PEOs)

• Graduates will achieve broad and in-depth knowledge of Artificial Intelligence and Data Science relating to industrial practices and research to analyze practical problems and think creatively to generate innovative solutions using appropriate technologies.
• Graduates will make valid judgments, synthesize information from a range of sources, and communicate them in sound ways appropriate to their discipline.
• Graduates will sustain intellectual curiosity and pursue life-long learning not only in areas that are relevant to Artificial Intelligence and Data Science but also that are important to society.
• Graduates will adapt to different roles and demonstrate leadership in a global working environment by respecting diversity, professionalism, and ethical practices.

Program Outcomes (POs)

• PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
• PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3: 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 considerations.
• PO4: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.
• PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
• PO6: 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 practice.
• PO7: 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 development.
• PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
• PO10: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 instructions.
• PO11: 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 environments.
• PO12: 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.

Program Specific Outcomes (PSOs)

• PSO 1: The ability to apply the principles of computing theory and algorithms with proficiency in Artificial Intelligence and Data Science technologies to find solutions to the real-world problems and challenges of the future.
• PSO 2: The ability to demonstrate interdisciplinary skills with sound knowledge in the principles of Artificial Intelligence and Data Science to develop quality products meeting global standards.

Course Outcomes (COs)