Artificial Intelligence(AI) – DS and ML

About Artificial Intelligence - Data Science and Machine Learning Department

The Department of Artificial Intelligence with programs Data Science and Machine Learning at Dr. D. Y. Patil College of Engineering & Innovation (Autonomous) is committed to developing future-ready engineers equipped with technical excellence, ethical values, innovation, and leadership to address global challenges through intelligent technologies. The department offers a four-year Bachelor of Technology (B.Tech.) programme designed in accordance with the principles of the National Education Policy (NEP 2020), Outcome-Based Education (OBE), and the National Board of Accreditation (NBA) framework.

Artificial Intelligence, Data Science, and Machine Learning have become the driving forces behind digital transformation across healthcare, finance, manufacturing, agriculture, smart cities, cybersecurity, education, and sustainable development. Our autonomous curriculum provides students with a strong foundation in computer science, mathematics, statistics, intelligent computing, and data-driven decision-making while integrating emerging technologies such as Generative AI, Deep Learning, Computer Vision, Natural Language Processing, Cloud Computing, Internet of Things (IoT), Data Engineering, Explainable AI, and Business Intelligence.

The department emphasizes experiential learning through state-of-the-art laboratories, industry-sponsored projects, internships, hackathons, research initiatives, innovation challenges, and multidisciplinary project-based learning. Students are encouraged to participate in research publications, patent development, startup incubation, international collaborations, and community-oriented AI solutions that address real-world problems.

Aligned with NEP 2020, the programme promotes multidisciplinary education, academic flexibility, innovation, entrepreneurship, and lifelong learning while nurturing ethical and socially responsible professionals. Through initiatives such as Responsible AI practices, Industry Connect Programmes, Service Learning, Brain Student Chapter, Student for Data Science Club, AI- Coding Club and the Conscious AI Club, students develop leadership qualities, emotional intelligence, professional ethics, spiritual learning and a commitment to sustainable technological development.

The curriculum is carefully mapped to NBA Graduate Attributes, enabling graduates to demonstrate engineering knowledge, problem-solving abilities, design thinking, teamwork, communication skills, ethical practices, project management, entrepreneurship, and lifelong learning. The department also actively contributes to the United Nations Sustainable Development Goals (SDGs) by encouraging AI-driven innovations that improve quality of life, promote sustainability, and support inclusive growth.

With a learner-centric ecosystem, experienced faculty, modern infrastructure, strong industry partnerships, and a vibrant research culture, the Department of Artificial Intelligence- Data Science and Machine Learning strives to create globally competent engineers, researchers, innovators, and entrepreneurs who leverage intelligent technologies for the betterment of society and contribute to the vision of a digitally empowered and sustainable future.

Area of Specialisation

Data Analytics

Automation Systems

OS

Modeling & Simulation

Artificial Intelligence Machine Learning

Software

Area of Specialisation

Speech Recognition

Machine Learning

Face Recognition

Neural Networks

Computer Vision

NLP