Admission Criteria & Eligibility

Bachelor of Technology (B.Tech.) in AIDE

IIT Ropar currently offers a 4-year B. Tech. programme in Artificial Intelligence and Data Engineering. The admission to all these courses is through the IIT Joint Entrance Examination (JEE).

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Bachelors of Technology (B.Tech.) in Digital Agriculture

With the global population set to reach 9.7 billion by 2050, food security is a critical challenge. AI, Machine Learning, and Big Data Analytics are revolutionizing agriculture through precision farming, predictive analytics, and automation. SAIDE’s B.Tech. in Digital Agriculture, India’s first, prepares students to lead this transformation with an interdisciplinary curriculum covering:

  • Artificial Intelligence and Machine Learning
  • Remote Sensing and Geographic Information Systems (GIS)
  • IoT and Autonomous Systems
  • Big Data Analytics for Agri-Tech
  • Smart Irrigation and Climate-Resilient Farming

Students gain hands-on experience with drones, IoT sensors, robotics, and automated irrigation systems, developing AI-driven solutions for crop monitoring, yield prediction, resource optimization, and climate adaptation.

Vision: To lead in developing AI-powered agricultural systems that ensure food security, sustainability, and rural empowerment, transforming agriculture through innovation aligned with national and global goals.

Mission:

  • Train students in AI, machine learning, and data-driven agriculture.
  • Drive innovations for agricultural productivity, resource efficiency, and climate resilience.
  • Bridge agriculture and advanced technologies through interdisciplinary learning.
  • Advance food security, sustainable farming, and rural transformation via research and industry collaboration.
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Master of Science (M. S.) in Data Science

To Be Updated...

Ph.D.

Phd School of Artificial Intelligence and Data Engineering (AIDE)

Research Areas: Machine Learning, Deep Learning, Big Data Analytics, Natural Language Processing, Computer vision, Data mining, Data Engineering, Ethics in AI, Cloud Computing, Edge AI, IoT, Reinforcement Learning, Robotics, Multiagent Systems, Neuromorphic Hardware for AI, Quantum Machine Learning (QML), QML for Computer Vision, AI in Healthcare, Integrated Circuits and Systems for AI, AI-enabled wireless systems, Systems for ML/AI, AI in Healthcare, Electronic packaging and system integration using AI/ML.