Department Of Artificial Intelligence (AI) & Data Science (DS)


Four year B.E. undergraduate course in Artificial Intelligence (AI) & Data Science (DS) is designed to inculcate technically sound knowledge in advanced learning systems that are based on algorithms of Artificial Intelligence and Data Science. AI is changing the way we work and live. AI is already creating tremendous amounts of value into the software industry and in sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. Understanding AI and knowing how to create AI powered applications gives you an edge in your career.

AI is about teaching the machines to learn, act and think as humans. It is the application of computing to solve problems in an intelligent way using algorithms. AI systems typically demonstrate behaviours associated with human intelligence such as planning, learning, reasoning, problem-solving, knowledge representation, perception, psychology, manipulation, social intelligence and creativity.

Data Science is the superset of Artificial Intelligence, Machine Learning and Deep Learning. The study about the data will enable the developer to mine data and find unexplored features or patterns in the data. This will enhance the decision making more accurate and error free. Welcome to the ocean of Data


To be a centre of excellence in Artificial Intelligence and Data Science with quality education and research, responsive to the needs of industry and society.


To achieve academic excellence through innovative teaching-learning practice.

To inculcate the spirit of innovation, creativity and research.

To enhance employability through skill development and industry-institute interaction.

To develop professionals with ethical values and social responsibilities.

Program Educational Objectives (PEO)

Graduates will be

  • 1
    PEO1: Competent professionals with knowledge of Computer Science & Engineering to pursue variety of careers and higher education.
  • 2
    PEO2: Proficient in designing innovative solutions to real life problems that are technically sound, economically viable and socially acceptable.
  • 3
    PEO3: Capable of working in teams, adapting to new technologies and upgrading skills required to serve the society with ethical values.

Programme Specific Outcomes (PSO)

  • 1
    PSO1: Hardware and hardware-software co-design: Ability to identify, design, simulate, analyse and develop AI and DS models, using modern engineering tools and programming languages.
  • 2
    PSO2: Domain specific skills: Ability to work in the field of AI Engineer, Data Analyst, Data Scientist, Business Analyst, Product Analyst, Research Scientist and Robotics Professional.

Programme Outcome (PO)

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