icon Overview

The Department of Artificial Intelligence and Data Science offers a 4 Year B.Tech Artificial Intelligence and Data Science affiliated to Anna University. Artificial Intelligence (AI) and Data Science (DS) programme is specifically designed and offered in response to the rapidly developing field of data science and AI that are currently gaining unprecedented popularity. The programme aims to produce the next generation of highly skilled graduates to propel the high-value economy growth of our country. The programme strikes a balance between Computing , Statistics and Mathematical Sciences, which enables it to provide a more comprehensive training in terms of the computing aspects of data science.

Skills you will gain

  • Intelligent Systems
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Data Science
  • Data Analytics and Mining
  • Big Data Management
  • Data Visualization
  • Probabilistic Modeling and Reasoning
  • Cloud Technologies
  • Internet of Things
  • Statistical Learning

icon Vision

To create an inspirational learning centre where proficient and future-ready scientist in the field of Artificial Intelligence and Data Science

icon Mission

  • To impart high-quality education and capitalist oriented learning through Artificial Intelligence and Data Science
  • To contribute towards advanced AI technologies that provides increased and better performance
  • To benefit the society through our contribution towards advancements in AI and Data Science


  • B.Tech – Artificial Intelligence and Data Science
Program Educational Objectives
Graduates will be able to Practice as an IT Professional in Multinational Companies
Graduates will be able to Gain necessary skills and to pursue higher education for career growth
Graduates will be able to Exhibit the leadership skills and ethical values in the day to day life
Program Outcomes

1. Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the IT enabled solution of complex engineering problems.
2. Problem Analysis
Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated IT enabled 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 the specified needs with appropriate consideration for the public health and safety, and the 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 modeling 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 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 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 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.
12. Lifelong 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.

Program Specific Outcomes
Graduates should be able to design and analyze the Artificial Intelligence algorithms towards Contemporary technology
Graduates should be able to apply probability and statistical solutions for real time problems towards data science
Graduates should be able to create an intelligent system by understanding modern coding tools, data analytics and digital business