About the Program:

B.Tech. Artificial Intelligence and Data Science course is designed to provide knowledge and skills to the students enabling them to impart intelligence to systems and machines through programming and Data Analysis.

As modern systems provide intelligent solutions through data science, there is a vast scope for someone holding a professional degree in artificial intelligence and data science. Graduates from this program will be groomed towards their career prospects on par with Industry expectation.


  • Develops proficiency in Core programming skills and Data Analysis techniques to provide intelligent solutions for industry and society.
  • Acquires the knowledge of Artificial intelligence and data science tools and techniques, including problem-solving, machine learning, computer vision, and human-computer interactions.

Career Opportunities:

  1. Artificial Intelligence is one of the fastest-growing technical sector, including healthcare, transport, and security. As per growth of multiple industries require AI expertise of skilled Artificial Intelligence professionals.
  2. Job roles include Data Scientist, Machine Learning engineer, Business Intelligence developer, Big data Engineer / architect, Database developer.
  3. Many multinational companies and organizations hire graduates in data science and artificial intelligence. Over the last few years, Amazon, Microsoft, Adobe, Uber, Samsung, Intel, Accenture, Facebook, Netflix, and Lenovo have been some of the top recruiters in the data science and artificial arena.

Department Vision:

      To produce high quality technologists for the dynamic societal needs in the field of Artificial Intelligence and Data Science

Department Mission

  • Providing quality education and support innovation in expert systems and data science to meet industry expectations.
  • Offering holistic learning ambience.
  • Developing the skills of the students to make successful engineers and entrepreneurs.
  • Creating relationship with the industries for mutual knowledge transfer.
  • Encouraging Research activities related to industry and society.

Core Values

  • Excellence
  • Loyalty
  • Novelty
  • Commitment
  • Courtesy
PEO – IGraduates will succeed as successful engineers in the field of Artificial Intelligence and Data Science for pursuing inter disciplinary projects for the development of the nation.[ Core Competence]
PEO – IIGraduates will work as team leaders and members with professional behavior and ethics.[Professionalism]
PEO – IIIGraduates will enrich their professional skills through higher studies, employability, and research activities for the benefit of the society.[Life-Long Learning]
1.Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. (Engineering Knowledge)
2.Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. (Problem analysis)
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. (Design/development of solutions)
4.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.(Conduct investigations of complex problems)
5.Create, Select and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to computing related complex engineering activities with an understanding of the limitations. (Modern tool usage)
6.Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional computer science and engineering practice. (The Engineer and society)
7.Understand the impact of the professional computer science and design solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. (Environment and sustainability)
8.Apply ethical principles and commit to professional ethics and responsibilities and norms of the computer science and design practice. (Ethics)
9.Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. (Individual and team work)
10.Communicate effectively on complex computer science and design 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. (Communication)
11.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 cost effective projects in multidisciplinary environments.(Project management and finance)
12.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. (Life-long learning)

PSO – 1

(Artificial Intelligence)

Interpret data, use software tools to conduct experiments, and apply AI & machine learning techniques to solve multi-disciplinary problems..

PSO – 2

(Data Science)

Apply standard practices, strategies and use appropriate models of data analytics to discover knowledge.


1Dr.S.RathnamalaB.E.,M.Tech.,Ph.DAssociate Professor & Head
2Mr.M.Senthil KumarB.E.,M.EAssistant Professor
3Ms. B.NarmathaB.E.,M.EAssistant Professor
4Ms. C.NivedhaB.E.,M.EAssistant Professor
5Mrs. T.VijayashanthiB.E.,M.EAssistant Professor