Artificial Intelligence(AI) & Data Science

About Department

The Artificial Intelligence & Data Science is upcoming technology which are changing the world with very high pace. Dr. D. Y. Patil College of Engineering and Innovation, offers a four years bachelor degree program in this trending technology. This degree program deals with scientific processes, methodologies and techniques drawn from different domains like statistics, cognitive science, and information science to extract knowledge from structured and unstructured data. The Artificial Intelligence (AI) build a human level though process in machine in addition to suggest decision support for specific tasks. The Artificial Intelligence (AI) makes it possible for machine to learn from experience, adjust to new inputs and perform human-like tasks. It signifies that AI provides human-like interactions as well as able to able take intelligent decisions based on data analysis.

Every day tremendous amount of data has been generated as human interaction with technology grows day by day. The Data Science plays important role to extract knowledge/insights from the data-to be structured, unstructured or semi-structured. To extract value from data; Data Science combines multiple fields, including statistics, scientific methods, Artificial Intelligence (AI), and data analysis. The data science comprises  data preparation for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Most popular examples for Artificial Intelligence & Data Science are from chess-playing computers to self-driving cars. Here computers can be trained to accomplish specific tasks by processing huge amounts of data and recognizing pattens in the data.

The basic objective of this graduate program is to educate students with the next age of Intelligence and analytics generated by machines. This program encompasses technical and design skills used in Artificial Intelligence and  Data Science to analyse, design and to create innovative strategies to solve challenging real-world problems.

Area of Specialisation

Data Analytics

Automation Systems


Modeling & Simulation

Artificial Intelligence Machine Learning


Area of Specialisation

Speech Recognition

Machine Learning

Face Recognition

Neural Networks

Computer Vision