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About the Department

Sanctioned Intake60
Year of Inception2020

To emerge as a centre of excellence in Artificial Intelligence and Data Science with international quality through education and research.


  • To provide an academic environment for the development of skilled professionals empowered with knowledge, skills, values, and confidence in the field of Artificial Intelligence and Data Science.
  • To prepare graduates as industry ready professionals by providing value added training programmes.
  • To enhance academia-industry collaborations and societal outreach programs.

Program Educational Objectives

  • PEO1 :Graduates will gain sound knowledge in technical and research domains of Artificial Intelligence and Data Science.
  • PEO2 :Graduates will apply the acquired knowledge to create Expert Systems for √ā¬†real world problems.
  • PEO3 :Graduates will pursue higher education in world-wide renowned institutions.
  • PEO4 :Graduates will be able to create awareness in the society about applications of AI and DS.

About the Programme

Artificial Intelligence is the algorithmic intelligence that is possessed by the machines to perform various autonomous actions. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from structured, unstructured, or semi-structured data. Twinned with Artificial Intelligence, more efficient solutions to find meaningful information from huge pools of data are possible today, with data from multiple sources – sensors, images, streaming video, satellite, medical imagery and the cloud.


Artificial Intelligence and Data Science Programme prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modeling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic.

Major Career Options

  • Business Analyst
  • Data Analyst
  • Intelligence Analyst
  • Data Manager
  • Information Security Analyst
  • Risk Analyst


    • As per Anna University curriculum & syllabus