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The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at NPR College of Engineering and Technology was established in 2024 with an approved intake of 60 students under the affiliation of Anna University, Chennai. The department offers a four-year undergraduate programme that seamlessly integrates the core principles of Computer Science and Engineering with cutting-edge advancements in Artificial Intelligence and Machine Learning, preparing students to meet the rapidly evolving demands of the digital and intelligent technology landscape. Committed to delivering high-quality Outcome-Based Education (OBE), the department strives to develop technically competent, innovative, and socially responsible professionals. It provides a strong academic foundation in computer science while promoting experiential learning in Artificial Intelligence, Machine Learning, Data Science, Intelligent Systems, Deep Learning, and other emerging technologies through a balanced blend of theoretical knowledge and practical application. The department is equipped with modern laboratories featuring advanced computing infrastructure, licensed software, high-performance systems, and industry-relevant AI and ML development tools. These state-of-the-art facilities foster research, innovation, project-based learning, problem-solving, and technology-driven skill development, enabling students to gain hands-on experience in solving real-world challenges. The department is supported by a team of highly qualified, experienced, and dedicated faculty members committed to academic excellence, research, and student mentoring. Through active industry collaborations, Memoranda of Understanding (MoUs), internships, industrial visits, expert lectures, value-added courses, workshops, certification programmes, and collaborative projects, students are provided with extensive opportunities for professional growth and industry exposure. Continuous skill enhancement programmes in programming, data analytics, machine learning frameworks, cloud computing, and emerging digital technologies further bridge the gap between academic learning and industry expectations. With a strong focus on academic excellence, research and innovation, industry readiness, entrepreneurship, ethical values, and lifelong learning, the department is committed to producing competent graduates capable of excelling in placements, higher education, research, and entrepreneurial ventures. The department continuously strives to create a dynamic learning environment that empowers students to become future-ready professionals and responsible contributors to the rapidly advancing fields of Artificial Intelligence and Machine Learning.
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.S. Ummugulthum Natchiar, HoD Incharge, Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) NPR College of Engineering and Technology, Natham, Dindigul, Tamil Nadu |
| 2 | University Nominee |
Dr. K. Karthikeyan, Assistant Professor Senior Grade- I Department of Computer Science and Engineering Anna University Madurai Regional Campus Madurai, Tamil Nadu |
| 3 | Academic Expert Member |
Dr. A. Jameer Basha, Professor and Head, Department of Computer Science and Engineering, Hindusthan Institute of Technology, Coimbatore. |
| 4 | Academic Expert Member |
Dr. T. Joshua Devadas, Professor Department of Analytics School of Computer Science and Engineering, Vellore Institute of Technology Vellore-14 |
| 5 | Industry Expert Member |
Mr. R. K. Durgesh, Senior Associate & Technical Lead, Cognizant Technology Solutions India Pvt. Ltd, Chennai, Tamil Nadu -600119 |
| 6 | Alumni Member |
Mr.K.B.Seshan, Senior Developer, Core stack, RMZ One Paramount, Plot:110 1st Floor, Mount Poonamallee Road, Porur, Chennai- 600024 |
| 7 | Experts from outside the Autonomous College |
Dr.T. Dhiliphan rajkumar, Associate Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, 626126, India |
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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 | 1 Year 3 Months | View Details |
| 3 | Mrs. D. Aiswarya Laxmi | Assistant Professor | 1 Year and 11 Months | View Details |
| 4 | Mrs.P.Kaleeswari | Assistant Professor | 1 Year and 10 Months | View Details |
| 5 | Mrs.S.Najimun Nisha | Assistant Professor | 10 Months | View Details |
| 6 | Mrs.S.Raihgana begam | Assistant Professor | 6 Months | View Details |
| 7 | Mr.E.Nanda Kumar | Assistant Professor | 21 Years 3 Months | View Details |
| 8 | Mr. Mathan S | Assistant Professor | 16 Years | 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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