Artificial Intelligence and Data Science

To develop a Centre of Excellence in Artificial Intelligence and Data Science by providing quality and multidisciplinary education and creating skilled and ethical professionals for industry and society.

To provide quality education in Artificial Intelligence and Data Science with strong technical and domain knowledge to solve complex engineering problems. To promote innovation, research, entrepreneurship, and multidisciplinary learning for sustainable development and to address industry and societal needs. To develop skilled, ethical, and socially responsible professionals through industry interaction, collaboration and teamwork, and lifelong learning.

• PEO1: Graduates will demonstrate strong technical and domain knowledge in Artificial Intelligence and Data Science to analyze and solve complex engineering problems and contribute effectively in industry and higher education.
• PEO2: Graduates will engage in innovation, research, and entrepreneurship, and pursue lifelong learning to adapt to emerging technologies and support sustainable development.
• PEO3: Graduates will exhibit ethical values, leadership, teamwork, and social responsibility for the betterment of society.

• 1. Engineering knowledge: Apply the knowledge of mathematics, science,engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
• 2. Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
• 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 modelling to complex engineering activities, with an understanding of the limitations.
• 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 practice.
• 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 development.
• 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• 9.Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 10.Communication: Communicate effectively on complex engineering activities with the engineering community and with t h e 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.
• 11.Project management and Finance: Demonstrate knowledge and understanding of t h e 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.
• 12. Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

• PSO1: Apply data analysis, presentation techniques, and machine learning knowledge to solve industry and real-world problems effectively.
• PSO2: Design AI systems for enterprise applications by efficiently acquiring, managing, and governing data to solve complex business challenges in a sustainable way.
• PSO2: Develop an intelligent solution with a focus on privacy, cybersecurity, and ethics while maintaining professional responsibility and continuous learning.