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The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NPR College of Engineering and Technology was started in the year 2024 with an intake of 60 students under the affiliation of Anna University. It is a four-year undergraduate program blending core computer science principles with specialized AI and ML training. The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) is committed to empowering students from rural and diverse backgrounds through quality, outcome-based technical education. The department offers a strong foundation in computer science along with practical exposure to Artificial Intelligence and Machine Learning. The department is equipped with well-established laboratories featuring modern computing infrastructure, licensed software, and advanced AI and ML tools. These laboratories support experiential learning, project development, research activities, and innovation, enabling students to gain practical competence and industry-relevant skills. The department is strengthened by experienced and dedicated faculty members, an effective industry mentoring system, and active industry tie-ups and MoUs that facilitate internships, hands-on training, expert lectures, collaborative projects, and value-added courses offered by industry experts. In addition, specialized laboratories are utilized to conduct structured skill training programmes focusing on programming, data analytics, machine learning tools, and emerging technologies. These programmes bridge the gap between curriculum and industry expectations, enhancing students’ technical proficiency, confidence, and employability. With a strong focus on skill development, employability, and career readiness, students are well prepared for placements, higher education, and research, emerging as industry-ready and socially responsible AI and ML professionals.
To produce globally competent Artificial Intelligence and Machine Learning professionals equipped to drive innovation in an increasingly digitized and intelligent society.
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) is dedicated to developing skilled professionals equipped to lead in the era of intelligent technologies and digital transformation. The programme integrates strong theoretical foundations with practical, industry-oriented training in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, and other emerging domains.
| Aspect | Details |
|---|---|
| Discipline Nature | Dynamic and transformative field in the modern technological era |
| Academic Focus | Strong theoretical foundation + practical computing skills |
| Learning Approach | Innovation, critical thinking, ethical responsibility |
| Curriculum Design | Future-focused and learner-centric |
| Industry Scope | AI, IT, Healthcare, Finance, Education, Manufacturing, Governance, Research |
| Core Competencies Developed | Programming, System Design, Analytics, Cybersecurity, Emerging Technologies |
| Global Readiness | Prepares graduates for competitive international environments |
Exposure to advanced and interdisciplinary domains aligned with modern technological trends.
| Specialization Areas | Skills & Outcomes Developed |
|---|---|
| Software Engineering | Domain-specific technical expertise |
| Artificial Intelligence & Machine Learning | Innovation-driven problem solving |
| Data Science & Big Data Analytics | Analytical and data-driven decision-making |
| Cybersecurity | Security-focused system design |
| Cloud Computing & DevOps | Scalable infrastructure management |
| Internet of Things (IoT) | Smart systems development |
| Human–Computer Interaction | User-centered technology design |
| Interdisciplinary Exposure | Adaptability across domains |
Computer Science and Engineering (AI & ML) graduates are highly sought after across technology-driven industries and organizations.
| Sector / Organization Type | Career Roles |
|---|---|
| Multinational Corporations (MNCs) | Software Developer |
| Startups & Product Companies | AI / ML Engineer |
| Research Laboratories | Data Scientist |
| Public Sector Technology Organizations |
Cloud Engineer DevOps Engineer IoT Specialist Systems Architect Technology Consultant |
A wide spectrum of stable and prestigious opportunities are available through competitive examinations, direct technical recruitments, and public sector organizations.
| Mode of Entry | Examples |
|---|---|
| Competitive Examinations | IES, UPSC Civil Services |
| State-Level Examinations | State Public Service Commissions |
| Direct Technical Recruitment | PSUs & Government Departments |
| Sector / Organization | Possible Roles |
|---|---|
| Central & State Government Departments | Technical Officer |
| Public Sector Undertakings (PSUs) | Systems Engineer |
| Banking & Financial Services | IT Officer |
| Indian Railways | Network Administrator |
| Defence Services | Cybersecurity Specialist |
| ISRO, DRDO, NIC | Scientist |
| BEL, BHEL, BSNL | Data Analyst |
The department fosters a dynamic ecosystem of research and industry engagement. Students are encouraged to participate in funded projects, research activities, publications, patents, hackathons, competitions, and internships.
| Initiatives | Student Benefits |
|---|---|
| Funded Research Projects | Practical Research Exposure |
| Advanced Laboratories | Hands-on Technical Skills |
| Publications & Patents | Academic Recognition |
| Hackathons & Competitions | Innovation & Teamwork |
| Internships | Industry Experience |
| Industry Partnerships | Real-Time Project Exposure & Certifications |
| Focus Area | Impact |
|---|---|
| Ethical Computing | Responsible Technology Development |
| Sustainability | Environmentally Conscious Solutions |
| Inclusivity | Accessible and User-Friendly Systems |
| Social Responsibility | Solutions for Healthcare, Education, Smart Infrastructure |
| National & Global Development | Contribution to societal and technological progress |
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.
Graduates of the Computer Science and Engineering (Artificial Intelligence and Machine Learning) will have:
The skills necessary to use AI, ML, DL, and RL to create leading-edge, services, and technology.
The knowledge of Utilizing statistical techniques and computational tools to overcome challenges in interdisciplinary fields.
Graduates of Computer Science and Engineering (Artificial Intelligence and Machine Learning) Program will be able to:
Develop proficiency in applying advanced AI and ML techniques to address industry-specific challenges in a globalized digital economy.
Foster innovation and entrepreneurship among graduates to create impactful AI-driven solutions for complex societal issues.
Equip graduates with the skills to adapt and lead in rapidly evolving AI and ML technologies, ensuring lifelong learning and professional growth.
Instill a strong ethical foundation in graduates to responsibly deploy AI and ML solutions, promoting inclusivity and sustainability in digital transformation efforts.
| S.No. | Batch | Course Outcomes |
|---|---|---|
| 1 | AI&ML_2023 Regulation CO-PO | View Course Outcome |
| S.No | Name of the Members | Designation | Position in DAC |
|---|---|---|---|
| 1 | Mrs.S.Ummugulthum Natchiar |
Head of the Department, Department of Computer Science and Engineering (AI&ML), 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. Suthaneswaran |
State Head – Tamil Nadu I Hub Robotics, Kochi , Kerala |
R&D Member |
| 4 | Mr.R.Ajith Kumar | AI Trainer ,Yard Stick Digital Solutions, Coimbatore | Industry Member |
| 5 | Mr.P. Madhana Kumaran |
Second Year CSE(AI&ML) Student, NPR College of Engineering and Technology, Natham, Dindigul |
Student member |
| 6 | Mr. K.Periyakaruppan |
HoD /CSE, SNS College of Engineering , Coimbatore |
Parent |
| 7 | Mrs.Arockiam.S | Teacher , Drona Primary School , Madurai | Parent |
| 8 | Mrs.R.Bhavithra |
Assistant Professor, Department of Computer Science and Engineering (AI&ML), NPR College of Engineering and Technology, Natham, Dindigul. |
Internal Member |
| 9 | Mrs.D.Aiswarya Laxmi |
Assistant Professor, Department of Computer Science and Engineering (AI&ML), NPR College of Engineering and Technology, Natham, Dindigul. |
Internal Member |
The members of the Board of studies are as follows:
| S/N | Member Category | Name, Designation, and Affiliation |
|---|---|---|
| 1 | Chairman |
Mrs. V. Sujitha, Assistant Professor, Department of Computer Science and Engineering, NPR College of 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 | Mr.P.Manivel Pandian | |
| 8 | Mr. M. Arockia Irudayaraja | |
| 9 | Mrs. M.Kalarani | |
| 10 | Mrs. R. Joan Pavithra | |
| 11 | Mrs. J. Bama | |
| 12 | Mrs. A. Arul Princy | |
| 13 | Mr. N. Nagaprakash | |
| 14 | Mrs. P. Prema | |
| 15 | Ms. A. Yuvarani | |
| 16 | Ms. M. Janani | |
| 17 | Mr.A.Janagan | |
| 18 | Mr.A.Suresh | |
| 19 | Mrs.S.Sharmila Jeyarani | |
| 20 | Mrs. P. Kaleeswari | |
| 21 | Mrs. S. Indhumathi | |
| 22 | Information Technology - All Faculty Members | Mrs. C. Kalpana, HoD(i/c) |
| 23 | Dr. P. Sundaramoorthy, AP | |
| 24 | Ms. S. Arockia Rubi, AP | |
| 25 | Mrs. A. S. Surya Pattatharasi, AP | |
| 26 | Mrs. S. Janet Vidyaa Nancy, AP | |
| 27 | Mrs. R. Maheswari | |
| 28 | Ms. T. Shanthi | |
| 29 | Mrs. P. Gobika | |
| 30 | Artificial Intelligence and Data Science - All Faculty Members | Mrs. J. Prisca Mary |
| 31 | Mr. A.G. Paranthaman | |
| 32 | Dr. M. Santhosh | |
| 33 | Mrs. D. Priya Dharshini | |
| 34 | Mrs. J. Lilly Roseline Mary | |
| 365 | Mr. S. Sathyaraj | |
| 36 | Mrs. K. Preethi Monika | |
| 37 | Computer Science and Engineering (Artificial Intelligence and Machine Learning) - All Faculty Members | Mrs. S. Ummugulthum Natchiar |
| 38 | Mrs. R. Bhavithra | |
| 39 | Mrs. D. Aiswarya Laxmi | |
| 40 | Mrs. P. Kaleeswari | |
| 41 | Mrs. S. Nijamun Nisha | |
| 42 | Mrs. U. Umaiyalakshmi | |
| 43 | Members of the faculty – Master of Computer Applications - All Faculty Members | Dr. S. Banu Chitra |
| 44 | Dr. B. N. Bobinath | |
| 45 | Dr. S. Devi | |
| 46 | Dr. M. Sivakami | |
| 47 | Mrs. B. Muralidharan | |
| 48 | Mr. A. Tamil Selvan |
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Head of the Department
Department of Computer Science and Engineering (AI&ML), NPR College of Engineering and Technology, Natham, Dindigul
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Welcome to the Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning). It gives me immense pleasure to present a department that is committed to shaping the future of intelligent technologies and preparing students to thrive in the rapidly evolving digital world.
Artificial Intelligence and Machine Learning have become transformative forces across industries such as healthcare, finance, manufacturing, education, and governance. Our department is dedicated to producing globally competent AI and ML professionals who can contribute to innovation and technological advancement in an increasingly digitized and intelligent society.
With a team of committed faculty members, modern laboratory facilities, and a learner-centered academic environment, the department strives to establish a strong foundation in Artificial Intelligence and Machine Learning through quality education and industry-relevant training. We emphasize both theoretical knowledge and practical learning through projects, workshops, internships, and industry collaborations that help students develop strong technical and analytical skills.
Our department encourages students to explore research and innovation in emerging AI and ML domains while nurturing their ability to develop intelligent solutions for real-world societal challenges. We strongly motivate our students to pursue higher education, participate in research activities, and engage in interdisciplinary learning that enhances their creativity and critical thinking.
Along with technical competence, we believe in cultivating professional ethics, discipline, and social responsibility among our students so that they become industry-ready professionals who contribute meaningfully to societal growth and technological progress.
I warmly invite students, parents, alumni, and industry partners to explore the opportunities offered by our department and join us in our journey toward excellence in Artificial Intelligence and Machine Learning.
| S.No. | Name of the Staff | Designation | Experience | Details Document |
|---|---|---|---|---|
| 1 | Mrs. S. Ummugulthum Natchiar | Head of the Department | 20 Years | View Details |
| 2 | Mrs. R. Bhavithra | Assistant Professor | 6 Months | View Details |
| 3 | Mrs. D. Aiswarya Laxmi | Assistant Professor | 1 Year and 6 Months | View Details |
| S.No | Name | Designation | Date of Joining | Experience |
|---|---|---|---|---|
| 1 | Mrs. S. Muthu Meena | Lab Technician | 13.04.2026 | Nil |
| 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 | Outcomes | Date |
|---|---|---|---|
| 1 | Arffy Technologies Private Limited, Tenkasi |
|
27.01.2026 |
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