Amrita School of Artificial Intelligence
Automation & Robotics Engineering
(ARE)
B.Tech in Artificial Intelligence and Data Science (Autonomous Agents & Robotic Systems) is a specialized undergraduate program designed to equip students with the knowledge and skills required to develop intelligent systems capable of autonomous decision-making and interaction with the physical world. The program combines the foundations of artificial intelligence, data science, robotics, and advanced computing technologies.
The curriculum focuses on building mathematical models, intelligent algorithms, and data-driven systems that can simulate aspects of human intelligence while enabling autonomous operation in real-world environments.
The Mathematics of Artificial Intelligence
Students develop a strong foundation in linear algebra, probability, statistics, optimization techniques, and mathematical modeling. These concepts form the basis of machine learning algorithms, predictive analytics, and intelligent decision-making systems.
Data Infrastructure and Computing Systems
The program introduces students to modern data engineering concepts including database systems, cloud computing platforms, distributed computing, and large-scale data management technologies required for AI-powered applications.
Artificial Intelligence and Data Science
Students gain expertise in machine learning, data analytics, predictive modeling, pattern recognition, and intelligent system development. The curriculum emphasizes the practical application of AI techniques to solve complex real-world problems.
Autonomous Agents and Robotic Systems
This specialization focuses on intelligent autonomous systems capable of sensing, learning, planning, and acting independently. Students explore robotics, autonomous decision-making, intelligent control systems, and the technologies that power next-generation robotic applications.
The program prepares students to design and develop intelligent systems that integrate data, computation, and autonomous behavior across a wide range of emerging technology domains.
Key Features
Career Opportunities
Course Details
Duration
4 Years
Eligibility
A pass in 10+2 (Class XII) with Physics, Chemistry and Mathematics, with a minimum aggregate of 60% marks in PCM and not less than 50% marks individually in Physics, Chemistry and Mathematics.
Available Campuses
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