DEPARTMENT OF
Artificial Intelligence and Data Science
“The science of today is the technology of tomorrow.” – Edward Teller
At the SCMS School of Engineering and Technology, the Department of Artificial Intelligence and Data Science was established in 2023 and is dedicated to pioneering the next wave of technological innovation. We are committed to providing our students with a top-tier education that blends rigorous academic training with hands-on experience. Through cutting-edge research, collaborative projects, and a strong emphasis on ethical practices, we prepare our graduates to tackle the complex challenges of the industry and contribute meaningfully to society, emphasizing the importance of ethical considerations and responsible AI practices, fostering a culture of integrity and social responsibility. With access to state-of-the-art facilities, industry collaborations, and guidance from experienced faculty, students are empowered to develop pioneering solutions that drive progress across various domains. Join us to explore the frontiers of machine learning, data analytics, and AI-driven solutions, and become a part of a community committed to excellence, innovation, and ethical responsibility.
Vision & Mission
To be a leading center for innovation, research, and excellence in artificial intelligence and data science, driving technological advancements and contributing to societal growth.
To deliver exceptional education in Artificial Intelligence and Data Science by promoting a learning environment that emphasizes technical expertise, ethical values, and holistic personal development to meet the evolving challenges of the industry and society through innovative research, hands-on experience, and a commitment to ethical practices.
- To create, acquire, and disseminate engineering knowledge for transforming students into professionals by imparting expertise in mathematics, computing sciences, artificial intelligence, and data science, along with the skills of cognitive computing.
- To provide a learning environment that emphasizes technical expertise, ethical values, and holistic personal development to meet the evolving challenges of the industry and society.
- To produce graduates who will be innovators and leaders in the field of Artificial Intelligence and Data Science along with the commitment to ethical responsibilities and lifelong learning.
POs,PSOs and PEOs
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 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
PO 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 considerations.
PO 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.
PO 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.
PO 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.
PO 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.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 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 instructions.
PO 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 environments.
PO 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.
PSO1 - Apply basic science and mathematical principles to design, develop or reengineer automobiles.
PSO2 - Design or develop subsystems required for building safe, efficient and green vehicles.
PSO3 - Applying knowledge of the function of various automobile components and systems for continuous and preventive service and maintenance.
Within a few years of graduation, the candidate is expected to have achieved the following objectives:
PEO 1 – Knowledge Attainment: Graduates shall reap sound technical competency and expertise in numerous fields of Automobile Engineering leading to a successful career.
PEO 2 – Social Responsibility: Graduates shall use the obtained abilities and understanding to remedy complicated Automobile Engineering troubles for the betterment of society.
PEO 3 – Integrity and Ethics: Graduates shall conform to professional ethics and contribute to uphold the integrity of their profession.
PEO 4 – Communication Skills: Graduates shall develop strong technical communication skills and intra and inter personal skills which would help inculcate in them team spirit, management and leadership qualities
Placements
Placement summary
Faculty Members
Faculty Members
Technical Staff Members
Alumini Testimonials
Joyal Koonan
Class of 2019
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology
Kiren Thomas
Class of 2015
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology
Nadeem A S
Class of 2017
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology
Neenu Nandanan
Class of 2017
B.Tech, Computer Science & Engineering
SCMS School Of Engineering & Technology
Sarath Rajan P
Class of 2010
Computer Science and Information System
SCMS School Of Engineering & Technology