A New Beginning!. Artificial Intelligence and Machine Learning course is approved by AICTE-VTU from the academic year 2020-2021.

We are starting our exciting journey in the year of 2020, with a sanctioned student strength of 60. The primary focus of the course is to impart technical know-how to students, promote their problem-solving skills and innovation of new technologies introducing new developments. Our department maintains active research groups for carrying out collaborative and interdisciplinary research. It is heartening to find that our students look forward to contributing to solving the technological challenges of society with active participation, perseverance, and hard work. Skill & knowledge relevant to real-world problems is inseminated to produce dynamic, socially conscious, and sensitive human beings.

India is set to witness 1.5 lakh new openings for data scientists this year - a whopping 62 per cent increase from 2019 which would lead by the BFSI (banking, financial services and insurance), along with manufacturing, healthcare, IT and e-commerce. An analysis of 70 percent of job postings for data scientists with less than five years of work experience revealed that the BFSI sector offers the highest average salary. The average salary of a data science professional in the BFSI sector was 13.56 lakh per annum, followed by manufacturing and healthcare.(Source: Hindustan Times)

The Annual list of Indeed's "25 best jobs of 2019" named the job of a Machine Learning Engineer as No. 1, citing a 344% increase in job postings in the last few years. The future will be built on Artificial Intelligence and Machine Learning. Are you ready to be a part of it?


To produce professionals equipped to build sustainable and intelligent solutions that effectively interact with natural intelligence towards creating a digitally empowered environment for future generations, safeguarding social ethics.



We at the Department of Artificial Intelligence and Machine Learning are committed to achieve our vision by:

  • Boost academic outcome through place-based education and collaborations with established research labs and industries.
  • To enable students with the spirit and power of interdisciplinary acumen by integrating a world of knowledge into a world of intelligent systems and subsystems.
  • Encourage entrepreneurship efforts among students and develop them into great leaders.
  • To inculcate empathy for societal needs and concern for the environment in engineering design and practice.