Department Overview

Artificial Intelligence (AI) is concerned with getting computers to perform tasks that currently are only feasible for humans. Within AI, Machine Learning aims to build computers that can learn how to make decisions or carry out tasks without being explicitly told how to do so. We have research strengths across a wide spectrum of AI and ML techniques. In ML, we develop fundamental ML techniques such as reinforcement learning and deep learning and build applications of these techniques in linguistics, robotics and information retrieval. Our researchers in knowledge representation develop techniques that allow us to capture knowledge about our world in a form that computers can process and reason about. In the multi-agent systems domain, we develop techniques that will enable computers to autonomously.

Artificial Intelligence

The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy and many others.

Machine Learning

Machine Learning is the learning in which machine can learn by its own without being explicitly programmed.

Vision & Mission


To evolve as a center of excellence in the field of Artificial intelligence and Machine Learning by developing  technically competent professionals   to serve the dynamic needs of the Industry  /

To evolve as a center of excellence in the field of Artificial intelligence and Machine Learning by developing technically competent professionals   with ethical values to solve real life problems pertaining to industry requirements and society./

To evolve as a center of excellence in the field of  Artificial intelligence and Machine Learning at national and global level by developing technically competent professionals with ethical values to serve the needs of industry and society.


  • To provide quality education to enhance problem solving and analytical skills in the field of  Artificial Intelligence and Machine Learning.
  • To equip graduates, with latest technologies to update their knowledge through unique learning environment and to enable the students to face the challenges.
  • To imbibe new knowledge by collaborating with Industry, Government bodies, R&D Organizations and Foreign Universities.
  • To impart quality and value based education and contribute towards the innovation of computing system and machine learning to serve the needs of society.
  • To produce  competent professionals  with personal and professional responsibilities and commitment to lifelong learning


  • To produce competent professionals adaptable to the changing technological environment with leadership qualities, team spirit, life skills and entrepreneur skill set.

Programme Offered

Notice Board

Admission 2021

Contact: 9003655855

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PEO – 1: Graduates will apply the principles of mathematics, computer science and engineering basics to solve Industrial problems.

PEO – 2: Graduates will have the ability to analyze, design, develop, optimize & implement engineering solutions for the real world problems through new technologies.

PEO – 3: Graduates will be ethically and socially responsible solution providers and entrepreneurs in the field of Engineering through Strong Communication and Entrepreneurial Skills.

PEO – 4: Graduates will be able to explore recent technological developments related to Machine Learning.

PEO – 5 : Graduates will be able to continue their education in leading graduate programs in engineering & interdisciplinary areas to emerge as researchers, experts, educators and an ability to engage in continuing professional development and life-long learning.


Upon completion of the Course the graduates will have ability to:

PO-a Engineering Knowledge Apply knowledge of computing, mathematical foundations, algorithmic principles, and engineering theory in the modeling and design of systems to real-world problems
PO-b Problem Analysis Analyze a problem, identify, formulate and use the appropriate computing and engineering requirements for obtaining its solution in fields of Artificial Intelligence and Machine Learning.
PO-c Design/ Development of Solutions Ability in Design, implement, and evaluate a computer-based system, components, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, health and safety, manufacturability, and sustainability.
PO-d Conduct Investigations of Complex Problems Design and conduct experiments, as to analyze and interpret data.
PO-e Modern Tool Usage Acquire the skills in handling scientific tools towards problem solving and solution analysis.
PO-f The Engineer and Society Analyze the local and global impact of computing on individuals, organizations and society.
PO-g Environment and Sustainability Knowledge of contemporary issues.
PO-h Ethics Understanding of professional, ethical, legal, security and social issues and responsibilities.
PO-i Communication Communicate effectively, both in writing and orally which will help in expressing ideas and views clearly and effectively.
PO-j Individual and Team Work Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-k Life Long Learning Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
PO-l Project Management and Finance Understanding of engineering and management principles and apply these principles to real time work to manage projects in multidisciplinary environment and research.


PSO – 1  Ability to learn , analyze, design and implement ethical sustainable solutions in the field of Artificial Intelligence and related Principles

PSO – 2 Ability to use problem solving skills in the broad area of programming concepts, and develop systems using techniques and tools to manage the project in interdisciplinary field.

PSO – 3 Ability to understand the evolutionary changes in the field of  computing and creating an innovative career path to be an entrepreneur and lifelong learner with moral values.