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 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 coordination skills.
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 solutions for complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems to reach substantiated conclusions with consideration for sustainable development.
Design creative solutions for complex engineering problems and develop systems, components, or processes that meet identified needs while considering public health, safety, whole-life cost, net-zero carbon, culture, society, and the environment.
Conduct investigations of complex engineering problems using research-based knowledge, including experiment design, modelling, analysis, and interpretation of data to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, while recognizing their limitations in solving complex engineering problems.
Analyze and evaluate societal and environmental aspects while solving complex engineering problems, considering sustainability, economy, health, safety, legal frameworks, culture, and the environment.
Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion while adhering to national and international laws.
Function effectively as an individual and as a member or leader in diverse and multidisciplinary teams.
Communicate effectively and inclusively within the engineering community and society through reports, documentation, presentations, and technical discussions while considering cultural, language, and learning differences.
Apply engineering management principles and economic decision-making to individual work, teamwork, project management, and multidisciplinary environments.
Recognize the need for and demonstrate the ability for independent and lifelong learning, adaptability to emerging technologies, and critical thinking in the context of technological advancement.
Graduates of Artificial Intelligence and Data Science will be able to:
Utilize their proficiency in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, Data Science, and Statistics to build systems that require the management and analysis of large volumes of data.
Advance their technical skills to pursue pioneering research in the field of Artificial Intelligence 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 economy building.
| S.No. | Batch | Course Outcomes |
|---|---|---|
| 1 | Regulation 2021 | View Course Outcome |
| 1 | Regulation 2023 | View Course Outcome |
| S.No | Name of the Members | Designation | Position in DAC |
|---|---|---|---|
| 1 | Mrs. J. Prisca Mary |
Head of the Department, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul |
Chair Person & HOD |
| 2 | Dr. S. Selvaperumal |
Principal, NPR College of Engineering and Technology, Natham, Dindigul |
IQAC Chairman |
| 3 | Mr. M. Santhosh Kumar |
Founder & Technical Lead, Cognibot AI Solutions Pvt. Ltd., Coimbatore |
Industry Member |
| 4 | Mr. N. C. Santhosh |
Lead Infrastructure Consultant, ThoughtWorks, Coimbatore |
Industry Member |
| 5 | Mr. P. Krithick |
Final Year AI&DS Student, NPR College of Engineering and Technology, Natham, Dindigul |
Student Member |
| 6 | Mrs. P. Geethalakshmi |
Hindi Teacher, Vikaasa World School, Madurai |
Parent Member |
| 7 | Dr. P. Velvizhi |
Professor, Latha Mathavan Engineering College, Madurai |
Academic Expert |
| 8 | Mrs. D. Priya Dharshini |
Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul |
Internal Member |
| 9 | Mrs. A. G. Pranthamanan |
Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul |
Internal Member |
| 10 | Mrs. J. Lilly Roseline Mary |
Assistant Professor, Department of Artificial Intelligence and Data Science, NPR College of Engineering and Technology, Natham, Dindigul |
Internal Member |
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/N | Member Category | Name, Designation, and Affiliation |
|---|---|---|
| 1 | Chairman |
Mrs. V. Sujitha, Assistant Professor, Department of Computer Science and Engineering, NPR College of Engineering and Technology, Dindigul-624401. |
| 2 | University Nominee |
Dr. V. Ramya, Associate Professor, Department of Computer Science and Engineering, Government College of Engineering, Bodinayakanur. |
| 3 | Subject Experts from outside the Parent University |
Dr. S. Sreethar, Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore-632014. Dr. K. Saravanan, Professor, Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore-560103. |
| 4 | Experts from outside the Autonomous College |
Dr. V. Murali Bhaskaran, Professor in CSE and Dean Academics, Rajalakshmi Engineering College, Rajalakshmi Nagar, Thandalam, Chennai - 602105. |
| 5 | Expert from Industrial / Corporate / Allied Sector |
Mr. R. K. Durgesh, Senior Associate & Technical Lead, Cognizant Technology Solutions India Pvt. Ltd., ELCOT SEZ, Sholinganallur, Chennai-600119. |
| 6 | College Alumni |
Mr. K. B. Seshan, Senior Developer, Corestack, RMZ One Paramount, Plot: 110, 1st Floor, Mount Poonamallee Road, Porur, Chennai-600024. |
| 7 | Computer Science and Engineering - All Faculty Members | Dr. S. M. Vijayarajan |
| 8 | Mr. P. Manivel Pandian | |
| 9 | Mr. M. Arockia Irudayaraja | |
| 10 | Mrs. M. Kalarani | |
| 11 | Mrs. R. Joan Pavithra | |
| 12 | Mrs. J. Bama | |
| 13 | Mrs. A. Arul Princy | |
| 14 | Mr. N. Nagaprakash | |
| 15 | Mrs. P. Prema | |
| 16 | Ms. A. Yuvarani | |
| 17 | Ms. M. Janani | |
| 18 | Mr. A. Janagan | |
| 19 | Mr. A. Suresh | |
| 20 | Mrs. S. Sharmila Jeyarani | |
| 21 | Mrs. P. Kaleeswari | |
| 22 | Mrs. S. Indhumathi | |
| 23 | Information Technology - All Faculty Members | Mrs. C. Kalpana, HoD(i/c) |
| 24 | Dr. P. Sundaramoorthy, AP | |
| 25 | Ms. S. Arockia Rubi, AP | |
| 26 | Mrs. A. S. Surya Pattatharasi, AP | |
| 27 | Mrs. S. Janet Vidyaa Nancy, AP | |
| 28 | Mrs. R. Maheswari | |
| 29 | Ms. T. Shanthi | |
| 30 | Mrs. P. Gobika | |
| 31 | Artificial Intelligence and Data Science - All Faculty Members | Mrs. J. Prisca Mary |
| 32 | Mr. A. G. Paranthaman | |
| 33 | Dr. M. Santhosh | |
| 34 | Mrs. D. Priya Dharshini | |
| 35 | Mrs. J. Lilly Roseline Mary | |
| 36 | Mr. S. Sathyaraj | |
| 37 | Mrs. K. Preethi Monika | |
| 38 | Computer Science and Engineering (Artificial Intelligence and Machine Learning) - All Faculty Members | Mrs. S. Ummugulthum Natchiar |
| 39 | Mrs. R. Bhavithra | |
| 40 | Mrs. D. Aiswarya Laxmi | |
| 41 | Mrs. P. Kaleeswari | |
| 42 | Members of the Faculty – Master of Computer Applications - All Faculty Members | Dr. S. Banu Chitra |
| 43 | Dr. B. N. Bobinath | |
| 44 | Dr. S. Devi | |
| 45 | Dr. M. Sivakami | |
| 46 | Mrs. B. Muralidharan | |
| 47 | Mr. A. Tamil Selvan |
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
Welcome to the Department of Artificial Intelligence and Data Science at NPR College of Engineering and Technology. The field of Artificial Intelligence and Data Science has experienced remarkable growth over the past decade and has emerged as a distinct and powerful offshoot of Computer Engineering.
Artificial Intelligence and Data Science have created a paradigm shift across industry, academia, and research. By training machines to learn, analyze, interpret, and make intelligent decisions, AI&DS is transforming the world at a rapid pace. This programme is designed to equip students with the skills required to analyze, interpret, and visualize data in various forms and formats, while applying knowledge of statistics, computing, Artificial Intelligence, and Data Science using the latest tools and technologies.
The breakthroughs in Artificial Intelligence and Data Science have significantly influenced major sectors such as FinTech, AgriTech, Healthcare, Education, and Manufacturing. These technologies improve efficiency, support decision-making, automate complex processes, and augment human capabilities across multiple domains.
The Department of Artificial Intelligence and Data Science at NPR College of Engineering and Technology began its journey in 2022 with an initial intake of 60 students, which has since increased to 120 students. The faculty and staff members of the department are committed to equipping students with expertise and proficiency in Artificial Intelligence, Machine Learning, Data Science, and related technologies that are essential for success in modern society.
Artificial Intelligence and Data Science have made a significant impact on human civilization in the 21st century. They have transformed the way we work, communicate, teach, learn, and entertain ourselves. The department’s main objective is to provide experiential learning opportunities through hands-on training, research projects, internships, and project-based courses that prepare students to work effectively in interdisciplinary teams and contribute to the creation of future technologies.
The research areas of the department cover a wide range of domains, including Algorithms, Artificial Intelligence, Image Processing, Pattern Recognition, Machine Learning, Data Mining, Big Data Analytics, and Computer Security. Along with a state-of-the-art curriculum, the department places strong emphasis on enriching students’ learning experiences through value-added courses, skill-development programmes, technical competitions, and hackathons at various levels.
The students, faculty, and staff of the Department of Artificial Intelligence and Data Science work together in a collaborative and supportive environment by 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 | View Details |
| 2 | Mr. A. G. Paranthaman | Assistant Professor | 11 Years 05 Months | View Details |
| 3 | Mrs. D. Priya Dharshini | Assistant Professor | 2 Years | View Details |
| 4 | Mrs. J. Lilly Roseline Mary | Assistant Professor | 1 Year 11 Months | View Details |
| 5 | Mrs. K. Preethi Monika | Assistant Professor | 3 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. | Company | Objective & Outcomes | MoU Period |
|---|---|---|---|
| 1 |
I Hub Robotics Marottichuvadu-Thoppil Road, Kochi, Kerala - 682024 |
|
09.09.2024 - 09.09.2027 (3 Years) |
| 2 |
Yardstick Digital Solutions Second Floor, 302, Siva Towers, Sathy Road, Saravanampatti, Coimbatore, Tamil Nadu - 641035 |
|
17.10.2024 - 17.10.2027 (3 Years) |
| 3 |
Roam.ai 164, 2nd Floor, 9th Main Road, Sector 6, HSR Layout, Bengaluru, Karnataka - 560102 |
|
24.10.2024 - 24.10.2027 (3 Years) |
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