The department of Artificial Intelligence and Data Science (AI & DS), a unique department endeavouring the students to impart knowledge on advanced innovations in the field of Artificial Intelligence, Data Science, Machine Learning, Deep Learning etc., The curriculum lay the ground work for the students to gain the skills to perform intelligent data analysis which would be the key integrant in numerous real-world applications.


The Vision is to achieve International recognition through research and innovation supremacy in Artificial Intelligence.



PEO1Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data
PEO2Advance their 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
PEO3Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO4Design and model AI based solutions to critical problem domains in the real world
PEO5Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.


PO1Engineering knowledgeApply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2Problem analysisIdentify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3Design/development of solutionsDesign 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.
PO4Conduct investigations of complex problemsUse research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5Modern tool usageCreate, 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.
PO6The engineer and societyApply 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.
PO7Environment and sustainabilityUnderstand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8EthicsApply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9Individual and team workFunction effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10CommunicationCommunicate 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.
PO11Project management and financeDemonstrate 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.
PO12Life-long learningRecognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.


PSO1Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO2Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
PSO3Create, select and
apply the theoretical knowledge of AI and Data Analytics along with practical
industrial tools and techniques to manage and solve wicked societal problems
PSO4Develop data
analytics and data visualization skills, skills pertaining to knowledge
acquisition, knowledge representation and knowledge engineering, and hence be capable
of coordinating complex projects
PSO5Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Head of the Department

Mr.S.Suresh Kumar

Assistant Professor / HOD
15 Years of Teaching Experience
NameMr.S.Suresh Kumar
DesignationAssistant Professor / HOD
Educational QualificationM.E.,Ph.D.,MISTE.,IAENG.,
Teaching Experience15 Years

Faculty Directory

Dr.S. Justin Samuel

Phd.,M.E., (AIDS)
Dr.S. Justin Samuel


Mr.S. Lakshmi Narasimhan

Assistant Professor
Mr.S. Lakshmi Narasimhan

Assistant Professor

Mrs.P. Sumathi

Assistant Professor
Mrs.P. Sumathi

Assistant Professor

Mr.K. Rajaprabu

M.E., (CSE)
Assistant Professor
Mr.K. Rajaprabu

Assistant Professor

Mrs.M. Arulmozhi

M.E., (CSE)
Assistant Professor
Mrs.M. Arulmozhi

Assistant Professor


M.E., (CSE)
Assistant Professor
Mrs.G. Deepalakshmi

Assistant Professor

Laboratory Facilities

LAB1Problem Solving and Python Programming Lab
LAB2Data Structures Design Laboratory
LAB3Database Design and Management Laboratory
LAB4Artificial Intelligence Laboratory
LAB5Data Science and Analytics Laboratory
LAB6Machine Learning Laboratory
LAB7Deep Learning Laboratory
LAB8Project Lab