ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
About the Department
The Department of Artificial Intelligence and Data Science at Nandha College of Technology, Erode was established in 2025 with an initial intake of 60 students. The department offers the B.Tech. Artificial Intelligence and Data Science programme, designed to equip students with the knowledge and skills required to meet the rapidly evolving demands of the technology industry.
The department focuses on developing strong foundations in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Data Analytics, Computer Vision, Natural Language Processing, Cloud Computing, and emerging technologies. The curriculum is complemented by hands-on laboratory sessions, programming practice, project-based learning, technical events, workshops, seminars, and industry-oriented training.
At present, the department has I and II year students, with a learning environment that encourages curiosity, creativity, problem-solving, innovation, and continuous skill development. Students are encouraged to participate in hackathons, coding competitions, technical symposiums, open-source initiatives, certification programmes, and industry interaction activities to strengthen their technical and professional competencies.
The department is committed to providing experiential learning through modern computing infrastructure, AI and Data Science tools, programming platforms, and emerging technology-based activities. Special emphasis is given to developing students’ abilities in data-driven problem solving, algorithmic thinking, programming, research, teamwork, communication, and entrepreneurship.
The department also promotes collaboration with industries, technology experts, academic institutions, and professional organizations to provide students with exposure to current industry practices and career opportunities. Through seminars, guest lectures, internships, industrial visits, certification programmes, and collaborative activities, students are given opportunities to bridge the gap between academic learning and real-world applications.
The department aspires to develop technically competent, innovative, ethical, and industry-ready professionals who can contribute effectively to the fields of Artificial Intelligence and Data Science and address emerging challenges through intelligent and data-driven solutions.
Vision & Mission
VISION
To produce globally competent, innovative, Computing professionals to meet current challenges in the field of Artificial intelligence and Data Science with social responsibilities.
MISSION
- Offering well-balanced curriculum with state of the art technologies to impart professional competencies and transferable skills.
- Bringing innovations in Teaching-Learning process through experienced learning and project/product based learning.
- Collaborating National and International Industries and Academia to develop foresight technologies in Artificial intelligence and Data Science.
- B.Tech. – Artificial Intelligence and Data Science – 4 years (Intake 60)
Programme Educational Objectives
- Be successful in their professional career as data scientist, data modeler, data architect, Infrastructure engineer, business intelligence developer, enterprise architect and software developer with technical and managerial skills in the field of artificial intelligence and data science
- Pursue higher studies at the institute of repute in India and abroad and work in educational institutions, research organizations and reputed software industries and be successful entrepreneurs.
- Collaborate in multidisciplinary teams and be the leaders in their organisations, their professional and in society.
Programme Outcomes
- Engineering Knowledge: Apply math, science, and engineering fundamentals to complex problems.
- Problem Analysis: Identify and analyze complex problems using research and sustainability principles.
- Design Solutions: Design systems and processes considering health, safety, cost, culture, and environment.
- Investigations: Use experiments, modelling, and data analysis to reach valid conclusions.
- Engineering Tools: Apply modern tools for modelling and problem-solving, recognizing their limits.
- Society & Environment: Assess societal, legal, and environmental impacts of engineering solutions.
- Ethics: Commit to ethics, human values, diversity, and legal compliance.
- Teamwork: Work effectively as an individual and in multidisciplinary teams.
- Communication: Communicate clearly in reports, presentations, and documentation across diverse groups.
- Management & Finance: Apply management and economic principles in projects and teamwork.
- Lifelong Learning: Engage in continuous learning, adapt to new technologies, and think critically.
| DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE | ||||
| S.No | AU-FIN | AICTE ID | Name & Designation | Photo |
| 1 | 2636391986 | 1-7416979100 | Dr. GOPU A P Assistant Professor |  |
| 2 | 2644871984 | 1-43710341056 | Mr.ANAND T Assistant Professor |  |
| 3 | 2671631995 | 1-7452993041 | Mrs. SARANYA S Assistant Professor |  |
Programme Specific Outcomes
- Design, develop, and deploy intelligent systems for real-world applications.
- Utilize modern tools for innovative solutions in the field of AI and Data Science.
- Demonstrate research aptitude, implement ethical practices and collaborate in multidisciplinary teams.
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Curriculum & Syllabi
Laboratory
The Artificial Intelligence and Data Science Laboratory provides a practical and supportive learning environment for students to develop their technical knowledge and apply concepts related to Artificial Intelligence Data Science Machine Learning Deep Learning Data Analytics and other emerging technologies.
The laboratory is designed to facilitate outcome-based education experiential learning and effective implementation of the academic curriculum. It provides the required infrastructure software tools and computing facilities to support practical instruction technical skill development project-based learning innovation and research activities.
Objectives
The major objectives of the AI & DS Laboratory are to:
- Provide students with hands-on experience in Artificial Intelligence and Data Science applications.
- Develop programming analytical computational and problem-solving skills.
- Enable students to work with real-world datasets and understand data-driven approaches.
- Provide practical exposure to Machine Learning and Deep Learning algorithms.
- Familiarize students with commonly used programming languages tools libraries and frameworks.
- Encourage students to apply theoretical concepts to practical and real-world problems.
- Support mini projects major projects innovative activities and research-oriented work.
- Enhance students’ technical skills and prepare them for higher studies and industry requirements.
Laboratory Infrastructure
The laboratory is equipped with the necessary computing and supporting facilities required for effective practical learning. The major facilities include:
- Desktop computers and workstations with adequate processing and memory capacity
- High-speed Internet connectivity
- LAN and networking facilities
- UPS and power backup
- Projector and interactive display facility
- Printer and scanner facilities
- Adequate electrical and network infrastructure
- Data storage and backup facilities
- Required software and development environments
Software and Tools
The laboratory provides a range of software tools and development platforms to support academic and project activities including:
- Python
- Jupyter Notebook
- Anaconda
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- OpenCV
- R and RStudio
- MySQL and PostgreSQL
- MongoDB
- Power BI
- Other relevant open-source and development tools
Areas of Practical Learning
The laboratory supports practical learning and experimentation in various areas including:
- Python Programming
- Data Structures
- Database Management
- Exploratory Data Analysis
- Data Visualization
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Mining
- Big Data Analytics
- Natural Language Processing
- Computer Vision
- Internet of Things and AI Applications
- Data Analytics and Business Intelligence
Student Learning and Development
The laboratory encourages students to learn through practice experimentation and application. Students are provided opportunities to analyse datasets perform data preprocessing develop and evaluate machine learning models create visualizations and implement AI-based solutions.
The facility also supports project-based and collaborative learning enabling students to work on mini projects major projects problem-solving activities and innovative applications. This practical exposure helps students strengthen their technical skills and develop the confidence to address real-world challenges.
Innovation and Research
The laboratory provides an appropriate environment for students and faculty members to undertake innovation research experimentation and application-oriented development. Students are encouraged to explore emerging technologies and develop solutions using Artificial Intelligence and Data Science techniques.
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MoU
- M/s. AVANSHHAN, Chennai – valid for a period of Five (5) Years
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