Artificial Intelligence and Data Science
Artificial Intelligence and Data Science
Department of Artificial Intelligence and Data Science
Vision
To achieve academic excellence by imparting state of the art technical education to mould engineers who contribute to the society through innovation and research in the field of Artificial Intelligence and Data Science.
Mission
- Mission 1: To empower staff and students with the in-depth knowledge of concepts in Artificial Intelligence and Data Science.
- Mission 2: To develop products and solutions through innovation and research through constant interaction with society and stakeholders.
- Mission 3: To inculcate the practice of ethical and moral standards.
Program Educational Objectives (PEOs)
- PEO1: To provide graduates with the proficiency to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volume of data.
- PEO2: To enrich graduates with necessary technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
- PEO3: To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
- PEO4:To enable the graduates to design and model AI based solutions to critical problem domains in the real world.
- PEO5:To enrich the innovative thoughts and creative ideas of the graduates for effective contribution towards economy building.
Program Specific Outcomes (PSOs)
- PSO 1: Design and implementing AI-driven solutions to complex problems by using appropriate AI tools and platforms to create intelligent systems.
- PSO 2: Develop data analytics and data visualization skills pertaining to knowledge acquisition, knowledge representation and knowledge Engineering
- PSO 3: Demonstrate an understanding of the ethical considerations and societal impacts of AI and data science
Program Outcomes (POs)
- PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and 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 modeling 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.
Artificial Intelligence and Data Science
Events and Activities
🎓 Student Achievement – Conference
Student: Harish. E
Department & Year: II Year, AI & DS
Prize: Third Prize 🥉
Event: National Conference on Advancements in Sustainable Smart Engineering and Technology (ASSET - 2025)
Conducted by: Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College
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External Hackton
30 hours Hacthon - Problem Statement- AI driven drone and rover based smart aricutural System
🆠Faculty Achievement
Received: Best Paper Award
Event: International Conference on Data Science and Business Systems (ICDSBS-2025)
Venue: SRM, Kattankulathur
Faculty: Dr. A. Kumar
