. Artificial Intelligence and Data Science | NGPiTECH
Programme Name Artificial Intelligence and Data Science
Duration 4 Years Full-time
Counseling Code

What is AI-DS?

Artificial Intelligence & Data Science Program provide the foundation and advanced skills in the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning.

Why Study AI-DS at NGPiTech

Artificial Intelligence and Data Science at Dr.N.G.P. Institute of Institute of Technology has been developed by a collaborative partnership of academicians and industry partners

Industry Powered Centers Oracle academy, ICT DELL-EMC, Red Hat Academy, AOSTA Incubation center
National Cyber Defence Research Centre To enhance practical knowledge in Artificial Intelligence and Cyber Security
Collaborate and engage

AI Lab

Dr.N.G.P.iTECH’s AI Lab is featured with one of the most powerful high-performance computers in the Higher Education sector and our students get industry learning experience in our AI Lab

What you will study

  • Core programming skills and techniques, including designing and coding applications, and the important principles of code design and development
  • Data science tools and techniques, including the principles of data science, data analysis, visualisation and interpretation, and the use of “big data”.
  • Artificial intelligence tools and techniques, including problem-solving, knowledge representation, machine learning, computer vision, human-computer interactions and information diffusion.
  • Ethical Hacking and data science, exploring the ethical, legal, social and professional frameworks in which data scientists must operate, in business and society.
Download Complete Syllabus

Department Information's

About Department

Artificial Intelligence and Data Science Programme enables students to get ready with the skills to perform intelligent decisions based on data analysis which is an important component in various real-world applications. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas.


The department offers a four year under graduate programme in Artificial Intelligence and Data Science leading to the award of a B.Tech degree approved by the All India Council for Technical Education (AICTE), New Delhi and Affiliated to Anna Univeristy, Chennai.

Short Term Goals
  • Train students with advanced technologies & tools in AI & DS

Long Term Goals
  • To impart Knowledge, develop attitude and inculcate Skills and values.
  • To produce competent computer professionals to serve the needs of the society.
  • To build conducive environment for learning and to carry out research in area of Computing.

The department has well equipped and spacious laboratories with modern computer equipments. Computer Laboratories equipped with LINUX & Windows platforms are available to develop the programming skills. Industry supported centers such as Oracle academy, ICTACT-EM2, Red Hat Academy, AOSTA Incubation center, National Cyber Defence Research Centre (NCDRC) on Artificial Intelligence center and Cyber Security center enhance the practical knowledge in the area of Artificial Intelligence and Data Science.

The department has a perfect understanding of how the corporate world works, this helps in organizing events and programs that will provide avenues to the students to get exposed to the real world of work. The department have signed MoUs with IT companies like ORACLE Academy, CISCO Network Academy, ASOTA software, Lakshya Cyber Security Labs, National Cyber safety and Security Standards to conduct Guest lectures, Value added course and to undergo internship. Guest lectures are organized in regularly and the students get ample opportunities to closely interact with professionals from different industries.

Higher Education

The department aims to prepare and give exposure to students on pursuing higher studies abroad and in India. The department identifies the Aptitudes of the Students for Higher Studies; accordingly, arranges ‘Guidance’ through Lectures by eminent personalities so as to assist the students in making their right choice regarding the Subjects, Courses and Universities for Higher Studies, both in India and abroad.

Career Prospects

The department facilitates the training activities with the help of industry experts, alumni and corporate trainers to prepare the students industry-ready and knowledgeable, to pursue careers as data analysts or data scientists. The department collaborates with some of the best organisations across industries to provide on-campus job opportunities.

Faculty Details

S.No. Name of the Faculty Designation Profile
dr.r.karthikeyan Head of the Department View Profile
ms. k. karpagavadivu Assistant Professor View Profile
dr v.priya Assistant Professor (Sl.Gr.) View Profile

Industry Partnerships



Industry Projects

Industry Projects

Students of Dr.N.G.P. Institute of Technology, Collaborate on real-world projects. We partner our students with leading corporate, community and government organizations to create innovative solutions to complex issues. Preview Our Projects Future Scope

Preview Our Projects


Career opportunities

  • Automotive
  • Bioscience
  • Data Analytics
  • Education
  • Entertainment & Media
  • Finance
  • Gaming
  • Healthcare
  • Digital Advertising
  • Internet of Things



NGPiTech students are provided ample opportunities for full time internships and on-the-Job trainings in reputed companies like Amazon, Capgemini, Bosch, Cognizant Flipkart, Hexaware, IBM, Infineon, ITC Wipro etc. We have pioneered a student engagement model, where student go for internship with the option of a Pre-Placement offer for a period of 6 months to a year. The student simultaneously complete their Academic program as well as the internship and are on board as full-time employees based on their internship performance.