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Our Vision

We aspire to impart an effective education and innovative learning environment to meet professional opportunities along with the challenges in real world.

Our Mission

To build a Centre of Excellence in education and research in the field of Artificial Intelligence and Data Science, to meet global challenges in computing industries.

Our Values

As a department, we value our students by improving their ability and skills in Artificial Intelligence to serve the needs of industry, government and society.

Welcome to the Department of Artificial Intelligence and Data Science

An Artificial Intelligence (AI) degree is centered around the exploration and development of intelligent systems capable of mimicking human-like cognitive functions. This field delves into algorithms, machine learning, and a range of methodologies aimed at creating systems proficient in problem-solving, decision-making, and adaptive learning from data. Courses in an AI degree program cover an array of topics, including machine learning, natural language processing, computer vision, robotics, and ethical considerations in AI. Graduates from AI programs find opportunities in diverse industries, from technology and healthcare to finance and autonomous systems, taking on roles such as machine learning engineers, AI researchers, and robotics engineers. On the other hand, a Data Science degree focuses on the extraction of meaningful insights from vast datasets. This interdisciplinary field combines statistical analysis, machine learning, and data visualization to derive valuable knowledge for informed decision-making. The curriculum includes subjects such as statistics, data analysis, machine learning, and data engineering. Graduates in Data Science often pursue careers as data scientists, analysts, or machine learning engineers, applying their skills in sectors like finance, healthcare, e-commerce, and marketing. In essence, while AI concentrates on the development of intelligent systems, Data Science is concerned with unlocking actionable insights from data, both playing pivotal roles in shaping the technological landscape and driving innovation across industries.

Our Regular Activities

  • NGO Visits
  • Industrial Visit
  • Sports & Culture
  • Symposium
  • Seera
  • Workshop & FDP
" A DISCIPLINE WITH A BRIGHT TOMORROW "

The Department of Artificial Intelligence and Data Science at our college is at the forefront of cutting-edge technology and data-driven innovation. It offers students a comprehensive education in artificial intelligence, machine learning, and data science, equipping them with the skills and knowledge needed for the digital age. Through a blend of theoretical foundations and hands-on experience, students learn to analyze vast datasets, create intelligent algorithms, and develop practical applications for industries ranging from healthcare to finance. Our department is committed to preparing future professionals who will drive advancements in AI and data science, shaping the future of technology and data-driven decision-making.

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Department Highlights

  • Pioneering Research in AI and Data Science:
    - Groundbreaking projects advancing natural language processing, computer vision, and machine learning.
    - Faculty-led research contributing to both theoretical advancements and real-world applications.
  • Strategic Industry Partnerships:
    - Collaborative projects with industry leaders providing students with practical, hands-on experiences.
    - Bridging the gap between academia and industry, preparing students for the demands of the workforce.
  • Dynamic Curriculum for Future Innovators:
    - Revamped curriculum integrating the latest advancements in AI and Data Science.
    - Exposure to state-of-the-art tools, methodologies, and emerging trends to keep students ahead of the curve.
  • Student Excellence in National and International Competitions:
    - Students consistently excelling in AI and Data Science competitions on a national and international level.
    - Demonstrating exceptional problem-solving skills and expertise in the field.
  • Interdisciplinary Collaboration and Social Impact:
    - Promotion of cross-disciplinary collaboration with other departments.
    - Community outreach initiatives addressing societal challenges through AI applications in healthcare, environment, and underprivileged communities.