Department of Artificial Intelligence and Data Science

Overview

The Department of Artificial Intelligence and Data Science focuses on equipping students with the skills to design intelligent systems and extract meaningful insights from data. Combining computer science, mathematics, and domain knowledge, the department prepares students to solve real-world problems using cutting-edge technologies in AI, machine learning, and data analytics.

Artificial Intelligence and Data Science Department of JCET was established during the year 2025, functioning with the intake of 30 students ,approved by the AICTE, New Delhi, and affiliated to the Anna University Chennai.

Vision

To be a centre of excellence in Artificial Intelligence and Data Science education, fostering innovation and developing professionals who shape the future of intelligent technologies.

Mission

  • To deliver high-quality education in AI and Data Science with strong theoretical and practical foundations 
  • To promote innovation, research, and interdisciplinary collaboration 
  • To prepare students for industry demands and emerging technologies 
  • To instil ethical values in the development and application of AI systems 

Programs Offered

  • Undergraduate Program (B.E./B.Tech in Artificial Intelligence and Data Science) 

Key Areas of Study

  • Machine Learning and Deep Learning 
  • Data Science and Big Data Analytics 
  • Artificial Intelligence and Intelligent Systems 
  • Natural Language Processing 
  • Computer Vision 
  • Data Visualization and Business Intelligence 

Laboratories & Facilities

The department offers advanced computing facilities and labs:

  • AI & Machine Learning Lab 
  • Data Analytics Lab 
  • Big Data and Cloud Computing Lab 
  • Deep Learning Lab 
  • Programming and Simulation Lab 

Faculty

The department is supported by a team of experienced faculty members with expertise in AI, data science, and related domains. They actively contribute to research, innovation, and student mentorship.

Research & Development

Research areas include artificial intelligence applications, predictive analytics, smart systems, natural language processing, computer vision, and data-driven decision-making. The department encourages students to participate in research projects, publications, and innovation challenges.