The Department of Artificial Intelligence and Data Science (AI & DS) was established in 2022 with the vision of producing highly skilled professionals capable of addressing real-world challenges through intelligent computing and data-driven technologies. The department offers a contemporary four-year B.Tech. Artificial Intelligence and Data Science programme under the affiliation of Anna University, providing students with a strong academic foundation in Artificial Intelligence, Machine Learning, Data Science, and emerging digital technologies.
The curriculum is carefully designed to build expertise in core Artificial Intelligence concepts, including Expert Systems, Knowledge Representation, Natural Language Processing, Deep Learning, Data Analytics, and the latest advancements in Generative AI. The programme combines theoretical knowledge with practical learning, enabling students to develop intelligent solutions for complex real-world problems across healthcare, finance, robotics, smart infrastructure, manufacturing, and other interdisciplinary domains.
The department is equipped with modern laboratories, high-performance computing facilities, advanced AI software tools, and state-of-the-art infrastructure that support experiential learning, research, innovation, and project development. Students actively participate in laboratory sessions, industry-oriented projects, workshops, internships, hackathons, and technical competitions, gaining valuable practical exposure and industry-relevant skills.
A team of experienced faculty members, supported by strong industry collaborations and research partnerships, provides students with quality technical education through outcome-based teaching methodologies. Regular expert lectures, value-added programmes, certification courses, industrial visits, and collaborative research initiatives further enhance students' technical competence, innovation capability, and employability.
The department strongly emphasizes ethical, responsible, and explainable Artificial Intelligence practices while nurturing critical thinking, entrepreneurship, research aptitude, and lifelong learning. With a focus on academic excellence, innovation, higher education, and career readiness, the department prepares graduates to become globally competent AI professionals capable of contributing meaningfully to industry and society.
| S.No. | Academic Year | Sanctioned Intake |
|---|---|---|
| 1 | 2022–2023 | 60 |
| 2 | 2023–2024 | 60 |
| 3 | 2024–2025 | 60 |
| 4 | 2025–2026 | 120 |
To develop Artificial Intelligence professionals of international relevance who can address industry requirements and societal challenges through future technologies, innovation, and ethical practices.
To develop Artificial Intelligence professionals of international relevance to meet the industry and societal needs through future technologies.
The Department of Artificial Intelligence and Data Science (AI&DS) at NPR College of Engineering and Technology (NPRCET), Natham, is committed to producing industry-ready professionals capable of developing intelligent systems and extracting meaningful insights from complex data. The department provides a comprehensive academic and research ecosystem that combines strong theoretical foundations, practical applications, innovation, and ethical responsibility to address real-world challenges.
| Academic Aspect | Details |
|---|---|
| Programme Focus | Artificial Intelligence, Data Science and intelligent computing technologies |
| Curriculum Design | Outcome-Based Education (OBE) with industry-oriented learning |
| Core Foundations | Mathematics, Statistics, Programming and Computational Thinking |
| Core Technologies | AI, Machine Learning, Deep Learning, Big Data Analytics, NLP, Computer Vision, Reinforcement Learning, Generative AI and MLOps |
| Programming & Tools | Python, R, TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, Power BI, Tableau and Cloud Platforms |
| Learning Approach | Laboratory sessions, mini-projects, capstone projects and experiential learning |
| Student Outcome | Predictive model development, intelligent applications and scalable AI solutions |
The department bridges the gap between academia and industry through collaborations with leading IT companies, AI startups, analytics organizations and technology partners.
| Industry Initiative | Student Benefits |
|---|---|
| Internship Programmes | Hands-on experience in AI and Data Analytics companies |
| Industrial Visits & Workshops | Exposure to industrial practices and emerging technologies |
| Live Industry Projects | Real-world problem-solving and case study analysis |
| Certification Programmes | Cloud Computing, Artificial Intelligence and Data Analytics certifications |
| Hackathons & Innovation Challenges | Innovation, teamwork and coding excellence |
| Expert Talks & Mentoring | Industry guidance and career readiness |
The department promotes a strong research culture by encouraging students to work on advanced technologies, interdisciplinary research, publications, patents and funded projects.
| Research Area | Focus |
|---|---|
| Explainable AI (XAI) | Transparent and trustworthy AI models |
| Healthcare Analytics | Medical diagnosis and healthcare intelligence |
| Smart Agriculture | Precision farming and agricultural automation |
| Autonomous Systems | Robotics and intelligent automation |
| Cybersecurity | Threat detection and intelligent security solutions |
| Financial Analytics | Risk modelling and intelligent financial systems |
| Smart Cities & IoT | Data-driven urban infrastructure and connected systems |
AI&DS graduates are highly demanded across technology-driven industries due to rapid digital transformation and increasing adoption of Artificial Intelligence.
| Industry Sector | Career Roles |
|---|---|
| IT & Software Companies | AI Engineer, Software Developer |
| Data Analytics & Business Intelligence | Data Scientist, Data Analyst, BI Analyst |
| AI Product Companies | Machine Learning Engineer, AI Research Associate |
| FinTech & Banking | Financial Data Analyst |
| Healthcare & Medical Analytics | Healthcare AI Specialist |
| Cloud & DevOps Organizations | Data Engineer, MLOps Engineer |
| Robotics & Automation Industries | Computer Vision Engineer, AI Developer |
AI&DS graduates have excellent opportunities in government organizations, research laboratories and Public Sector Undertakings involved in digital governance and national technology initiatives.
| Organization / Sector | Career Opportunities |
|---|---|
| Central & State Government IT Departments | Systems Engineer, Technical Officer |
| Public Sector Undertakings (PSUs) | AI Engineer, Systems Engineer |
| National Research Laboratories | Scientist, Research Engineer |
| Defence & Space Research Organisations | AI Research Engineer, Scientist |
| Digital Governance & Smart City Projects | Data Scientist, Technical Consultant |
| Banking & Regulatory Bodies | Cybersecurity Analyst, Data Analyst |
| Focus Area | Student Development |
|---|---|
| Entrepreneurship | AI startups, Analytics Consulting, EdTech, HealthTech, FinTech and SaaS product development |
| Professional Ethics | Responsible AI, Data Privacy, Transparency and Fairness |
| Leadership Skills | Communication, Teamwork and Decision Making |
| Placement Training | Aptitude, Coding, Resume Building, Mock Interviews and Soft Skills |
| Career Readiness | Continuous upskilling through emerging technologies and industry interactions |
With its strong academic foundation, industry collaboration, research orientation, innovation ecosystem, and comprehensive placement support, the Department of Artificial Intelligence and Data Science prepares students to become globally competent AI professionals, intelligent system developers, innovative entrepreneurs, and responsible technology leaders capable of contributing to societal transformation.
At the end of the Engineering programme, graduates will be able to:
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.
At the end of the Artificial Intelligence and Data Science programme, students will be able to:
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.
Utilize data analysis to derive actionable insights and foresights, enabling the solution of complex business and engineering problems.
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 co-ordination skills.
Graduates of Artificial Intelligence and Data Science will be able to:
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.
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.
Think logically, pursue lifelong learning and collaborate with an ethical attitude in a Multidisciplinary team
Design and model AI-based solutions to critical problem domains in the real-world.
Exhibit innovative thoughts and creative ideas for an effective contribution towards the economy building.
| S.No. | Batch | Course Outcomes |
|---|---|---|
| 1 | Regulation 2021 | View Course Outcome |
| 1 | Regulation 2023 | View Course Outcome |
| S/No | Name of the Faculty Members | Designation & Address |
|---|---|---|
| 1. | Mrs. J. Prisca Mary | Head of the Department, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul |
| 2. | Dr. S. Selvaperumal | Principal, NPR College of Engineering and Technology, Natham, Dindigul |
| 3. | Dr. A. Poobalan M.E., Ph.D., | Assistant Professor (Selection Grade), Department of Computer Science and Engineering, University College of Engineering, Dindigul. |
| 4. | Dr. D. Vetri Thangam | Professor, Department of CSE, Chandigarh University, Punjab, India. |
| 5. | Mr. Faisal Mohammed Ismail | Founder and CEO, Triothought Tech Solutions Private Limited, Coimbatore |
| 6. | Mrs. M. V. Nandhinee | Alumni (Batch: 2012-2016), Senior Developer, Chennai |
| 7. | Mr. P. Ramesh | Alumni (Batch: 2015-2019), Senior Software Test Engineer, NetLink, Chennai. |
| 8. | Mrs. D. Priya Dharshini | Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul. |
| 9. | Mrs. J. Lilly Roseline Mary | Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul. |
| 10. | Mrs. K. Preethi Monika | Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul. |
| S.No | Name | Designation |
|---|---|---|
| 1 | Dr. S. Selvaperumal | Principal |
| 2 | Mrs. J. Prisca Mary | HoD |
| 3 | Mrs. D. Priya Dharshini | Assistant Professor |
| 4 | Mrs. J. Lilly Roseline Mary | Assistant Professor |
| 5 | Mrs. K. Preethimonika | Assistant Professor |
| 6 | Mrs. T. Sathya | Assistant Professor |
The members of the Board of Studies are as follows:
Faculty: Computer Science and Engineering & Information Technology
Programmes Offered:
1. B.E. Computer Science and Engineering
2. B.Tech. Information Technology
3. B.Tech. Artificial Intelligence and Data Science
4. B.E. Computer Science and Engineering (Artificial Intelligence and Machine
Learning)
5. MCA - Master of Computer Applications
| S/No | Member Category | Name, Designation, and Affiliation |
|---|---|---|
| 1 | University Nominee | - |
| 2 | Subject Experts from outside of the parent university | Dr. Rajeswari Sridhar, Professor, Department of Computer Science and Engineering, National Institute of Technology, Trichy. |
| 3 | Dr. M. Vigenesh, Associate Professor, Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore. | |
| 4 | Industrial Expert | Mr. N. C. Santhosh, Lead Infrastructure Consultant, Thought works, Coimbatore. |
| 5 | Expert other than Autonomous | Dr. P. Nagaraj, Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology (Deemed to be University), Tiruchirappalli. |
| 6 | Alumni | Shreedhar Vellayaraj, AI/ML Lead, Datazoic Inc, Chennai, Batch (2016-2020) |
Head of the Department
Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul
Department of Artificial Intelligence and Data Science
The field of Artificial Intelligence and Data Science (AI&DS) has experienced remarkable growth over the past decade, becoming a distinct offshoot of Computer Engineering. It has resulted in a paradigm shift across various sectors of the industry, academia, and research. Through training machines, AI&DS is altering the world at a rapid pace. This course is designed to equip students with the skills needed to analyze, interpret, and visualize data in various forms and formats, and apply their knowledge of statistics, computing, AI, and DS, using the latest tools and technology to improve efficiency and augment human capabilities. The breakthroughs in AI&DS have significantly influenced various sectors, including FinTech, AgriTech, Healthcare, Education, and Manufacturing.
The Department of Artificial Intelligence and Data Science at NPR College of Engineering and Technology embarked on its journey in 2022 with an initial intake of 60 students, which has since increased to 120 students. The faculty and staff of the department are committed to equipping our students with the expertise and proficiency in Artificial Intelligence, Machine Learning, Data Science, and related fields that are essential to thriving in modern society.
AI and DS have had a significant impact on human civilization in the 21st century. They have transformed the way we work, communicate, teach, and learn, and entertain ourselves. The Department’s main objective is to provide experiential learning opportunities, including hands-on training, research projects, internships, and project-based courses that prepare students to work in interdisciplinary teams and create the future.
The Department’s research areas cover a wide range of topics, including Algorithms, Artificial Intelligence, Image Processing, Pattern Recognition, Machine Learning, Data Mining, Big-Data Analytics, and Computer Security. In addition to a state-of-the-art curriculum, the Department places a strong emphasis on enriching the students’ learning experience by offering value-added courses, skill-development programs, and opportunities to participate in technical competitions and hackathons at all levels.
The students, faculty, and staff of the Artificial Intelligence & Data Science Department at NPR College of Engineering and Technology work together in a collaborative and supportive environment, engaging with diverse projects, laboratories, departments, and industry partners. We are confident that our department is well prepared to meet the challenges and opportunities of the evolving digital era.
| S.No. | Name | Designation | Experience | Details Document |
|---|---|---|---|---|
| 1 | Mrs. J. Prisca Mary | Head of Department | 12 Years 4 Months | View Details |
| 2 | Mrs. D. Priya Dharshini | Assistant Professor | 2 Years & 8 Months | View Details |
| 3 | Mrs. J. Lilly Roseline Mary | Assistant Professor | 2 Year & 4 Months | View Details |
| 4 | Mrs.J.Inin Maria Rajani | Assistant Professor | 1 Year | View Details |
| 5 | Mrs. S. S Rahmath Ameena | Assistant Professor | 1 Year & 1 Month | View Details |
| 6 | Mrs. K. Preethi Monika | Assistant Professor | 11 Months | View Details |
| 7 | Mrs.T.Sathya | Assistant Professor | 3 Years & 8 Months | View Details |
| 8 | Mr.I.Antony Manickaraj | Assistant Professor | 3 Years & 8 Months | View Details |
| 9 | Mrs.P.Vijayabharathi | Assistant Professor | 2 Months | View Details |
| 10 | Ms.S.Sowmya | Assistant Professor | 2 Months | View Details |
| S.No | Name | Designation | Date of Joining | Experience |
|---|---|---|---|---|
| 1 | Mr. A. Manikandan | Lab Assistant | 01/04/2026 | 1 Year 10 Months |
| S.No. | Name of the Society | Name of the Event | Resource Person | Name of the Industry | Academic Year |
|---|---|---|---|---|---|
| 1 | Association for Computing Machinery (ACM) | Inaugural Ceremony of the NPRCET ACM Student Chapter |
Dr.Meenakshi D’Souza President, ACM India Council; Professor & Head, Department of Computer Science and Engineering |
IIIT Bangalore | 2024-2025 |
| 2 | Association for Computing Machinery (ACM) | Peer Learning Session on “Bridging Minds: Sustaining Knowledge Exchange” |
Dr. P. Nagaraj, Associate Professor & Seceretary Madurai ACM Professional Chapter. |
Kalasalingam Academy of Research and Education | 2024-2025 |
| S.No. | Industry / Organization | Date & Duration | Effectiveness / Outcomes of MoU | Status |
|---|---|---|---|---|
| 1 |
I Hub Robotics Marottichuvadu-Thoppil Road, Kochi, Kerala - 682024 |
09.09.2024 3 Years |
|
Active |
| 2 |
Yardstick Digital Solutions Second Floor, 302, Siva Towers, Sathy Road, Saravanampatti, Coimbatore, Tamil Nadu - 641035 |
17.10.2024 3 Years |
|
Active |
| 3 |
Roam.ai 164, 2nd Floor, 9th Main Road, Sector 6, HSR Layout, Bengaluru, Karnataka - 560102 |
24.10.2024 3 Years |
|
Active |
| 4 |
Dot Com Infoway I Floor, Vaigai Colony, Plot No. 3, 80 Feet Rd, Opp. To Ambika Theatre, Anna Nagar, Madurai, Tamil Nadu - 625020 |
29.01.2026 3 Years |
|
Active |
| 5 |
Yellowmatics.ai Coimbatore, Tamil Nadu |
12.03.2026 3 Years |
|
Active |
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