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
Sanctioned Intake: B.E. - Artificial Intelligence and Data Science
S. No. Academic Year Intake
1 2022-2023 60
2 2023-2024 60
3 2024-2025 60

Vision & Mission

VISION

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

MISSION

  • To collaborate with industry and provide state-of-the-art infrastructural facilities, with a conducive teaching-learning ambience.
  • 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 teach the right attitude with discipline and develop industry-ready professionals for serving society.

 

PEO, PO & PSO

Program Educational Objectives (PEOS)

Graduates of Artificial Intelligence and Data science will be  able to

PEO1 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.
PEO2 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.
PEO3 Think logically, pursue lifelong learning, and collaborate with an ethical attitude in a Multidisciplinary team.
PEO4 Design and model AI-based solutions to critical problem domains in the real world.
PEO5 Exhibit innovative thoughts and creative ideas for an effective contribution towards the economy building.

 

Program Outcomes (POs)

Engineering Graduates will be able to: 

PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 
PO2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. 
PO3 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 public health and safety, and cultural, societal, and environmental considerations. 
PO4 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. 
PO5 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. 
PO6 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. 
PO7 Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 
PO10 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. 
PO11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments. 
PO12 Life-long 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 (PSOs)

At the end of the program, students will be able to

PSO1 Develop and implement AI-based processes for effective decision-making in diverse domains, including business and governance, by integrating domain-specific knowledge and advanced techniques.
PSO2 Utilize data analysis to derive actionable insights and foresight, enabling the solution of complex business and engineering problems.
PSO3 Apply theoretical knowledge of AI and Data Analytics, along with practical tools and techniques, to address societal problems, demonstrating proficiency in data analytics, visualization, and project coordination skills.

HoD Profile

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

Email: jeniferm@nprcolleges.org
Mobile: 8056368409

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 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, Deep Learning, Data Science and Artificial Intelligence. She has a teaching experience of more than 11 years. She has published 25 research papers in reputed journals and presented many papers at various international conferences. She has published  13 patents and published two technical books and published 4 book chapters.

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), a member of the Institute of Research Engineers and Doctors( MIRED). a member of the International Organization for Academic and Scientific Development(IOASD).

Curriculum & Syllabus

Faculty

S. No. Name Qualifications Designation Email ID  
1 Dr. M.Jenifer B.Tech., M.E., PhD., Professor jeniferm@nprcolleges.org View Profile
2 Mr.P.Manivel Pandian B.Tech., M.E., Assistant Professor manivelpandianp@nprcolleges.org View Profile
3 Mrs.C.Priya Dharshini B.Tech., M.E., Assistant Professor priyadharshinic@nprcolleges.org View Profile
4 Ms.V.Krishna Dharshini B.E., M.Tech. Assistant Professor krishnadharshiniv@nprcolleges.org View Porfile
5 Mrs.B.Ganesh Sundari B.E., M.E. Assistant Professor ganeshsundarib@nprcolleges.org View Porfile