About the Department

Data science and Artificial Intelligence are interrelated fields that combine processes and systems to gain valuable insights from available data. Data Science is crucial in assisting Artificial Intelligence mediums to find solutions to feature problems by linking data that can be used later. As Data Science and Artificial Intelligence are rapidly evolving fields, there is a vast scope for establishing a career.

  • Al & DS technology skills are employed everywhere starting from Healthcare to Entertainment, Data Security, Finance, Digital Marketing, Manufacturing, Robotics, the Internet of Things(IoT), Retail and Politics, etc.
  • Most wanted and exciting career domain right now in the industry.
  • The skill of the century with good career prospects.
  • Excellent choice for those who dream big.

Salient Features 

  • Emerging Engineering Field
  • Attractive Career Scopes


Vision & Mission


To develop AI professionals of international relevance to meet the industry and societal needs with future technologies.


  • To collaborate with industry and provide state-of-the-art infrastructural facilities, with a conducive teaching-learning ambiance.
  • To instill in the students the knowledge of world-class technical competence, entrepreneurial skill, and a spirit of innovation in the area of Artificial Intelligence and Data Science to solve real-world problems.
  • To encourage students to pursue higher education and research.
  • To inculcate the right attitude and discipline and develop industry-ready professionals for serving society.

Course Objective

Course Objective


Graduates can

  1. Utilize 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.
  2. Advance 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.
  3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a Multidisciplinary team.
  4. Design and model AI-based solutions to critical problem domains in the real world.
  5. Exhibit innovative thoughts and creative ideas for an effective contribution towards the economy building.

Graduates should be 

  1. Evolve AI-based efficient domain-specific processes for effective decision-making in several domains such as business and governance domains. 
  2. Arrive at actionable Foresight, Insight, and hindsight from data for solving business and engineering problems 
  3. Create, 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 
  4. Capable of developing data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation, and knowledge engineering, and hence capable of coordinating complex projects. 
  5. Able to carry out fundamental research to cater to the critical needs of society through cutting-edge technologies of AI.

HoD Profile

Professor and Head of the Department,
Department of Artificial Intelligence & Data Science,
NPR College of Engineering and Technology, Natham.

Email: jeniferm@nprcolleges.org

Dr. Jenifer Mahilraj is an Associate Professor and Head of the Department of  Artificial Intelligence & Data Science at NPR College of Engineering and Technology, Natham. She received her B.Tech degree in Information Technology from Karpagam College of Engineering, Coimbatore in 2010 and her M.E. degree in Computer science Engineering from Karpagam University in 2012, and her Ph.D.  in Computer Science and
Engineering with a specialization in AI  in the Year 2021 from  MAHER University, Chennai.

Her research area includes Machine Learning, Data Science, and Artificial Intelligence. She has a teaching experience of more than 10 years. She has published 20 research papers in reputed journals and presented many papers at various international conferences. She has published  7 patents and published two technical books.

She is an  Editorial Advisory Board Member in the Book Chapters of IGI Global Publisher and  She has received the Reviewer award in Elsevier and Springer Journals. She is a life member of the International Society of Engineering Science and Technology (MISEST), a member of the International Association of Engineers (MIAENG), and a member of the Institute of Research Engineers and Doctors( MIRED).