Amrita School of Artificial Intelligence
Artificial Intelligence & Data Science (Medical Engineering)
(AID-M)
B.Tech Artificial Intelligence and Data Science (Medical Engineering) is an interdisciplinary undergraduate program that combines advanced computing technologies, data analytics, and healthcare engineering. The program is designed to prepare students to develop intelligent systems that address real-world challenges in healthcare, medical diagnostics, biomedical research, and clinical decision-making.
The curriculum integrates the principles of artificial intelligence, data science, and medical engineering, enabling students to build innovative healthcare technologies that improve patient care, diagnosis, monitoring, and treatment outcomes.
Artificial Intelligence and Machine Learning
Students learn to develop intelligent algorithms, predictive models, neural networks, and computer vision systems capable of analyzing complex healthcare and biomedical datasets. The curriculum emphasizes practical applications of AI in modern healthcare environments.
Data Science and Healthcare Analytics
The program provides training in data processing, analytics, and information management techniques used to handle large-scale healthcare data. Students gain experience working with data-driven approaches that support clinical decision-making and healthcare innovation.
Medical Engineering Foundations
Students are introduced to the engineering principles that support healthcare technologies, including biomedical systems, medical instrumentation, physiological measurements, and healthcare-focused engineering applications.
Healthcare Automation and Intelligent Systems
The curriculum explores emerging technologies that support smart healthcare solutions, including intelligent monitoring systems, healthcare automation, wearable technologies, and advanced medical devices designed to improve healthcare delivery.
By combining expertise from artificial intelligence, data science, and healthcare engineering, the program prepares graduates to contribute to the next generation of intelligent healthcare technologies and biomedical innovations.
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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