icon Overview

Artificial Intelligence (AI) and Machine Learning (ML) are frequently used interchangeably, but Machine Learning is a subset of the broader division of Artificial Intelligence.

Artificial Intelligence refers to the general capability of computers to emulate human study and perform tasks in real-world surroundings, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and refine themselves through experience and data.

Students will learn about the various subfields of AI and ML, including computer vision, natural language processing, robotics, deep learning etc. They will able to transform data into actionable insights and automate a variety of manual processes involving data and decision making.

Skills you will gain

  • Cluster Analysis
  • Big Data and Distributed Computing
  • Neural Network Architecture
  • Mathematical Knowledge
  • Computer vision

icon Vision

To empower students to become dynamic professionals who can leverage technology to drive innovation and create sustainable business solutions.

icon Mission

  • To inspire and nurture students, with up-to-date knowledge in AI&ML, ethics, team spirit, leadership abilities, innovation, and creativity to come up with solutions meeting societal needs.
  • To impart knowledge in cutting edge Artificial Intelligence technologies in par with industrial standards.
  • To foster a culture of lifelong learning and continuous improvement.
  • To collaborate with industry to elevate innovative research and development in Artificial Intelligence and Machine Learning and its allied fields to serve the needs of mankind.


  • B.E – Computer Science and Engineering (Artificial Intelligence and Machine Learning)