The Department of Artificial Intelligence and Machine Learning offers undergraduate programmes designed to develop technically competent, innovative, ethical, and socially responsible professionals in the field of Artificial Intelligence and Machine Learning.
The Bachelor of Science in Artificial Intelligence and Machine Learning programme focuses on building strong foundations in programming, mathematics, data science, artificial intelligence, and machine learning.
It develops students’ technical, analytical, problem-solving, communication, and entrepreneurial skills, preparing them for diverse careers in AI, machine learning, data analytics, software development, and emerging technology sectors.
The programme also emphasizes deep learning, natural language processing, computer vision, intelligent systems, practical projects, research, industry interaction, and innovation, enabling students to develop intelligent and socially responsible technology solutions.
To emerge as a forward-looking center of excellence in artificial intelligence and machine learning, nurturing talented young innovators, analytical thinkers, and ethical technologists who design intelligent systems to solve complex problems and drive responsible digital transformation for societal good.
To offer inclusive, flexible, and interdisciplinary undergraduate programs in artificial intelligence and machine learning that integrate foundational computing, algorithms, data science, and domain applications, equipping graduates with strong technical, analytical, and problem-solving skills for diverse career paths and lifelong learning.
To promote practical research and innovative inquiry in machine learning models, intelligent systems, data analytics, and AI applications, addressing key challenges in healthcare, agriculture, education, and industry.
To expand access to quality AI and ML education for rural and underprivileged students by combining modern computational tools with local needs, preserving cultural knowledge through digital intelligence, and building entrepreneurial competencies for self-reliant careers.
To cultivate ethical practices, social responsibility, and global awareness through hands-on projects, industry partnerships, community initiatives, and experiential learning that connects theoretical concepts with real-world intelligent applications.
Demonstrate comprehensive knowledge and understanding of the fundamental concepts, theories, principles, and applications in the chosen discipline and allied fields.
Identify, analyze, and solve complex academic, professional, and societal problems using logical reasoning, analytical skills, and evidence-based approaches.
Apply scientific methods, research techniques, and investigative skills to conduct studies, analyze data, interpret results, and draw meaningful conclusions.
Develop innovative ideas, creative solutions, and entrepreneurial approaches to address contemporary challenges in academic, professional, and social contexts.
Utilize appropriate digital technologies, software tools, and information resources effectively and ethically for learning, research, communication, and problem-solving.
Understand environmental issues and sustainable development goals and apply this knowledge to promote ecological balance and responsible resource utilization.
Demonstrate ethical values, integrity, inclusiveness, and social responsibility while contributing positively to society and professional environments.
Work effectively as an individual and as a member or leader of diverse and multidisciplinary teams, demonstrating leadership, collaboration, and interpersonal skills.
Communicate effectively through oral, written, visual, and digital means with diverse audiences in academic, professional, and societal settings.
Develop professional competencies, managerial abilities, and entrepreneurial skills required for employment, higher education, and self-employment opportunities.
Recognize the need for continuous learning, adaptability, and self-development to meet evolving personal, professional, and societal demands in a dynamic global environment.
Graduates will be proficient in applying core concepts of artificial intelligence, supervised and unsupervised learning, neural networks, and data preprocessing techniques to build effective predictive and intelligent models.
Graduates will demonstrate competence in machine learning frameworks, model evaluation, data visualization, and ethical deployment of AI systems, enabling them to contribute effectively to the technology industry, research support, and community-oriented intelligent solutions.
To provide graduates with a solid foundation in programming, mathematics, data structures, machine learning algorithms, and artificial intelligence principles, preparing them for entry-level roles in IT companies, data analytics, and higher studies.
To develop logical thinking, analytical abilities, and technical proficiency so that graduates can design, implement, train, and evaluate AI and ML models to address real-life problems.
To foster professional ethics, effective communication, teamwork, and responsible AI practices that enable graduates to work collaboratively in multidisciplinary teams and contribute positively to society.
To encourage lifelong learning and adaptability, empowering graduates to keep pace with rapid advancements in AI and ML technologies and pursue advanced education, certifications, or entrepreneurial opportunities.
National Institute of Technology, Tiruchirappalli
8438207784
usrinivasalureddy@gmail.com
Indian Institute of Information Technology, Tiruchirappalli
9042473621
devasenag@iiitt.ac.in
Curriculum and syllabus document for the undergraduate programme in Artificial Intelligence and Machine Learning.
The department provides well-equipped computer laboratory facilities to support practical learning, programming, artificial intelligence, machine learning, data analysis and technology-oriented academic activities.
Artificial Intelligence of Things: From Sensor Data to Intelligent Cloud Dashboards
A two-day hands-on workshop designed to introduce students to Artificial Intelligence of Things (AIoT) through practical learning was organized by the Department of Artificial Intelligence & Machine Learning, School of Arts and Science, Dhanalakshmi Srinivasan Institute of Research and Technology (Deemed to be University) on 20 August 2026 (Thursday) & 21 August 2026 (Friday) at 10.00 PM in the AI Innovation Hub.
The Chief Guest Mr. R. Mugeshwaran, Founder at Kiwistron inaugurated Robotics Club and delivered a keynote address. Participants explored sensor data collection, IoT devices, AI-based data processing, cloud connectivity, and intelligent dashboards through hands-on activities.
Department of Artificial Intelligence & Machine Learning
The Inauguration ceremony of Robotics Club was organized by the Department of Artificial Intelligence & Machine Learning, School of Arts and Science, Dhanalakshmi Srinivasan Institute of Research and Technology (Deemed to be University) on 6 August 2026 (Wednesday) at 10.00 PM in the College Auditorium.
The Chief Guest Mr. R. Mugeshwaran, Founder at Kiwistron inaugurated Robotics Club and delivered a motivating keynote address.
