Fellowship in Healthcare AI, IoT & Remote Patient Monitoring
A technology-focused fellowship covering healthcare IoT, sensors, wearables, remote patient monitoring, healthcare data pipelines and AI-based predictive monitoring. Learners understand how connected devices can support digital-health workflows.
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Start your fellowship application securely through the MRFO Student Portal.
Fellowship Overview
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Programme Details
Key academic and delivery details of this fellowship
Entrance Assessment
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CBT – Class XII NCERT based
CBT – Class XII NCERT based
Scholarship After Entrance Exam
Scholarship eligibility linked to successful completion of the CBT entrance examination
Entrance Exam Based Scholarship
Students who successfully pass the fellowship CBT entrance examination may become eligible for the scholarship amount configured for this programme.
Complete the fellowship entrance assessment based on the Class XII NCERT syllabus.
Students who meet the qualifying requirement of the CBT can proceed for scholarship consideration.
After the result is verified, the eligible student can receive the scholarship benefit for the fellowship.
Eligibility
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Duration
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Current Intake
Details of the current intake for this fellowship programme
Curriculum Highlights
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Programme Curriculum
Structured learning modules and topics
Healthcare IoT Foundations
Sensors & Wearables
Remote Patient Monitoring
Healthcare Data Pipelines
Python
IoT Data Analytics
Machine Learning
Predictive Monitoring
Telemedicine
AI-Based Patient Monitoring
IoT Healthcare Project
Capstone & Assessment
Internship
Practical exposure and hands-on experience
Placement Support
Career guidance and placement assistance
Prospectus & Documents
View official fellowship documents