School of Digital Health Sciences & Technology
-
About School of Digital Health
Sciences & Technology
MRV – SDH is India’s first School of Digital Health offering a wide variety of programs in a wide variety of formats.
With focus on Artificial Intelligence, Multi modal Analytics, Simulation, Immersive Technologies, Robotics, Cybernetics, Advanced Mobility MRV that can make health care more effective and efficient – School of Digital Health will be offering Certificate, Diploma, Bachelors, Masters, Doctorate, Post Graduate Diploma, Fellowship, Executive and Management Development and Digital Transformation Programs.
Supported by state of the art labs, national and international partnerships, faculty who have been at the fore front of digital health initiatives in India for over a decade SDH at MRV aspires to be India’s first and India’s best school.
Click to know more about the 4 Bachelors and 10 Masters Programs to be started in 2025:
- Our Vision
MRV – SDH: India’s First
Digital Health School
The future is digital. Health care landscape is transforming significantly driven by the rapid integration of digital technologies, artificial intelligence (AI), intelligent automation (IA) and advanced air mobility (AAM). The real choice now lies between transforming to digital health systems, stay ahead or continue down the road of incremental analog improvement and fade away.
As this digital transformation unfolds, it is crucial, not just to address present traditional challenges like awareness, accessibility, absence of skills, affordability, accountability thru small marginal advances but to think long term, in to the future.
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Digital health transformation goes beyond improving data collection, analysis, graphs, health records…; it involves rethinking the fundamentals of how health is delivered in traditional facilities like hospitals, clinics to non traditional locations like home, work place, social locations and almost every where a person spends time…leading to not just management of disease, but to true prevention, prediction and creating a comprehensive, comprehensive, continuous, contextualised, convergent, person cantered plan for long healthy and happy life.
The School of Digital Health (SDH) at Malla Reddy Vishwavidyapeeth (MRV), the first in India, aims to lead this digital health care transformation and aspires to the best in India addressing not just the present challenges of health care and but to create a digital framework and path way for better, longer, healthier life for every Indian.
Digital Health requires inter disciplinary expertise – starting with health care, and expanding in to design, analytics, hardware, software, management, economics, mobility, regulations, intellectual property, ethics, security….its a long list.
Malla Reddy Academic ecosystem with existing hospitals, medical, dental, nursing, allied health, engineering, business, agriculture… schools has deep academic, technical, research expertise and a incredible future ready vision, which is best suited to build the necessary inter disciplinary national and possibly global school of excellence in Digital Health.
SDH at MRV will create professionals who can leverage these opportunities and contribute to the field. Digital Health offers significant job opportunities and is one of the fastest areas of job growth. Job opportunities in Digital Health exist within many sectors including healthcare device companies, healthcare software companies, hospital systems, health insurance, pharma companies, consulting and research organizations. Digital Health offers significant startup / entrepreneurship opportunities.
- Our Mission
Mission values of MRV-SDH
- Developing a world-class digital health curriculum suitable for skill, output and impact based education
- Create professionals out of students who can, understand, leverage these opportunities and contribute from the front line to the field.
- Work on cutting-edge research that imagines and enables the desired future of long life thru digital health, such as digital twins, AI, IA, AAM, robotics including humanoids…
- Creating a hi value-based job ecosystem, by networking with like-minded public and private organizations, to create a fulfilling career path way to our professionals
- Seeding a national and global-digital health innovation hub that brings together the best minds to address our challenges and start up companies that can serve globally and profitably.
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- Developing a world-class digital health curriculum suitable for skill, output and impact based education
- Create professionals out of students who can, understand, leverage these opportunities and contribute from the front line to the field.
- Work on cutting-edge research that imagines and enables the desired future of long life thru digital health, such as digital twins, AI, IA, AAM, robotics including humanoids…
- Creating a hi value-based job ecosystem, by networking with like-minded public and private organizations, to create a fulfilling career path way to our professionals
- Seeding a national and global-digital health innovation hub that brings together the best minds to address our challenges and start up companies that can serve globally and profitably.
Dr.Suresh Munuswamy
MBBS (Madras), MPH (Oxford), PhD (Tokyo) Dean & Professor
Dean and Professor – School of Digital Health Sciences & Technology
The digital transformation is reshaping daily life—media, banking, communication, and healthcare. As life expectancy increases, digital health is becoming essential, driving new processes, products, and skills.
This shift requires an interdisciplinary approach, merging healthcare, design, and engineering. Every day, millions of health data points from doctor visits, and public health records shape treatment and prevention.
Beyond hospitals, homes, workplaces, and social spaces are emerging as new healthcare frontiers, where health monitoring and intervention can lead to longer, healthier lives.
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Deans Message
The future is Digital and we will all be living longer. A combination, that will transform the way we live. The transformation is already under way….thru digital media, banking, ticketing, communication…even grocery shopping thru e-commerce is changing.
Digital health and in extension, digital empowered life is taking centre stage and a long list of new processes, new products, new skills for people is rapidly become an emerging requirement.
These “new” solutions require a inter disciplinary approach, and at a very granular level require convergence of health care with design, engineering and human centricity.
Millions of health-related data points are already being generated every day, from information collected by our personal devices, doctor’s office visits to public health data collection about disease prevalence and treatment outcomes.
In addition several non traditional health care determinants and facilities that affect a person’s health like home, work place, social locations and almost every where a person spends time are also emerging as the new frontiers of health care, where every step of human life can potentially be monitored, measured, modified for a healthy and happy life.
The emergence of (Artificial Intelligence) AI + (Intelligent Automation) IA- driven new ecosystem will offer unprecedented insights by integrating diverse layers of human data—electronic health records, imaging, wearable biosensors, genomics, proteomics, microbiome information, social determinants of health, and environmental exposures.
Professionals trained in managing this complex data led ecosystem are absolutely essential to delivering comprehensive, continuous, contextualised, convergent, person cantered, transformative health care and systems. They need to understand both the potential benefits and limitations of these methods to minimize the possibility that new technologies will be implemented in a manner that will ultimately lead to equitable and universal health care, well being leading to long life.
Despite this seismic shift, already happening, there is a critical gap of relevant, necessary skills at all levels to realise the promise of digital health to a practical reality.
Malla Reddy Vishwavidyapeeth, part of the Malla Reddy academic ecosystem, with existing hospitals, medical, dental, nursing, allied health, engineering, business, agriculture… schools, recognised this need and has started India’s first School of Digital Health, offering a wide variety of future ready academic programs, backed by a strong, innovative, cutting edge, research ecosystem.
Explore our webpage and blog, know more about our programs and our researcg work, impact on scoiety and reach out for a dialog. Thank you.
Course List
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearbles
The B.Sc. Medical Devices & Wearables program at Malla Reddy Vishwavidyapeeth, Hyderabad, is an undergraduate course designed to provide students with specialized knowledge…….
Bachelors in Immersive Technology in Health Care
The B.Sc. Immersive Technology in Healthcare program at Malla Reddy Vishwavidyapeeth, Hyderabad, is an undergraduate course designed to provide students with specialized knowledge….
M.Sc. Digital Health
The M.Sc. Digital Health program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to provide students with advanced knowledge and practical skills
M.Sc. Medical Robotics
The M.Sc. Medical Robotics program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to provide specialized knowledge and practical expertise in the integration of robotics in medical applications.
M.Sc. Medical Devices & Wearables
The M.Sc. Medical Devices & Wearables program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to provide students with specialized knowledge and hands-on training in the design, development
M.Sc. Immersive Technology In Health Care
The M.Sc. Immersive Technology in Healthcare program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to provide students with in-depth knowledge….
Specalized M.Sc
M.Sc. Health Informatics
The M.Sc. Health Informatics program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to equip students with the knowledge and skills required to apply information technology and data analysis in the healthcare sector.
M.Sc. Health Data Science
The M.Sc. Health Data Science program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to equip students with the knowledge and skills needed to analyze, interpret, and utilize health-related data.
M.Sc. Health Data Analytics
The M.Sc. Health Data Analytics program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to equip students with the knowledge and skills to analyze and interpret complex health-related data..
M.Sc.Health Technology Assessment
The M.Sc. Health Technology Assessment program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to equip students with the knowledge and skills to evaluate the clinical, economic, social, and ethical implications of health technologies.
M.Sc. eHealth &
Telemedicine
The M.Sc. eHealth & Telemedicine program at Malla Reddy Vishwavidyapeeth, Hyderabad, is a postgraduate course designed to provide students with the knowledge and skills required to leverage digital health technologies for delivering healthcare services remotely.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices & Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices & Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices & Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices & Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices & Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Bachelors in Digital
Health
Bachelors in Digital Health focuses on integrating technology, data analytics, and AI to enhance healthcare delivery, patient care, and medical innovation.
Bachelors in Medical
Robotics
Bachelors in Medical Robotics focuses on developing and applying robotic technologies for surgery, rehabilitation, diagnostics, and patient care automation.
Bachelors in Medical Devices &
Wearables
Bachelors in Medical Devices & Wearables focuses on designing and developing smart medical devices and wearable technologies for real-time health monitoring and diagnostics.
Lab Information
MRV.ELL TWINS Lab
At MRV.ELL Twins Lab we are working towards creating Digital Twins (DT): Of a district with a million people, features as layers and simulating disease, facility and supply chain distribution; Of a 500 bedded hospital mapping the people, data and service flow and Of a human body with all organs and other available info from ....
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MRV.ELL DROIDS Lab
At MRV.ELL Droids Lab we are working towards training how to operate existing humanoids for health care use cases like being a physician assistant to measure vital signs, dentist assistant for primary care procedures, patient assistant for hospital navigation, patient movement support – to and from ambulances, bedside helpful arm, as a transport intermediate between drone and hospital.
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MRV.ELL 360 Immersive Lab
At MRV.ELL 360 Immersive Lab will be an extension of the Twins lab….by visualising and interacting in 3D with the Digital Twins (DT): Of a district with a million people, features as layers and simulating disease, facility and supply chain distribution; Of a 500 bedded hospital mapping the people, data and service flow and Of a human body with all organs and other available info from the available....
Read More →
MRV.ELL Living Lab
At MRV.ELL Living Lab our focus is on a key issue of today – siloed data, whether its personal data, data inside an organization, or data sharing across different organizations. Data discovery and integration is difficult and presents complex technical, organizational and policy challenges. A Living Lab allows MRV to be a microcosm for many big data efforts.
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Faculty / BOS Members & Advisers
Dr. Ajitha Katta
Designation Associate Professor at University of Hyderabad Qualification: MBBS, MD (Community Medicine)
Mr. Apoorva Patel
Designation: CXO advisor, Global Advisory Partner Qualifications: MBA (Yale School of Management)
Dr. Aman Iqbal
Designation: Investor, consultant (Softbank Group Corp) Qualification: PhD (Chemical biology)
Mr. Hemant Satyanarayana
Designation: CEO of Imaginate XR Qualification: B.Tech (IITM)
Mr. Jeyaseelan Jeyaraj
Co-Founder @ VerdureRCM Qualification: PGP (UCLA Anderson School of Management), PhD (IIHMR University)
Mrs. Kavitha Karthik
: Life Time Member - SATHI Former Expert Committee Member Nursing Informatics, MoHFW, GOI Qualification: MSc Nursing, MA Sociology, MHSc Public Health, MSc Health Informatics
Mr. Kraveenthar Kamal
Founder & Managing Director (Maker Global) Qualification: B.Tech (LICET)
Prof. Mark Watson
Managing Director at Design Providence, Professor(adj) @ WUD school of Business) Qualification: PhD (Architecture)
Nanda Kishore Kannuri
Associate Professor, Department of Anthropology, University of Hyderabad Qualification: Ph.D (Medical Anthropology), M.Phil (Medical Anthropology )
Dr. Naresh Yallapragada
Designation: Founder PLATIX Qualification: BDS, M.SC (Healthcare Informatics, London)
Ms. Nikita Jana
Assistant Professor Qualification: M.Sc. (Healthcare Informatics), PG Diploma (Clinical Research), B.Sc. (Microbiology)
Mr. Prem Kumar Vislawath
: Founder & Chief Innovator (Marut Drone) Qualification: B.Tech (IIT Guwahati)
Ms. Priyadarsini Suresh
Designation: Assistant Professor Qualification: M.Sc. (Healthcare Informatics), M.Sc. (Microbiology)
Dr. Rajesh Sinha
Designation: : Dean-Sciences, Chandigarh University ,U.P Qualification: PhD (Health Informatics)
Rajesh Sirigireddy
DataOps Specialist Qualification: M.Sc. (Health Informatics), Master’s (Medical Instrumentation)
Prof. Shabbir Syed Abdul
Designation: AI & Digital Health Consultant, Taipei Medical University Qualification: PhD (Health Informatics), M.Sc(Telemedicine and eHealth), MD Medicine
Dr. Suresh Munuswamy
Designation: Dean & Professor, MRV-SDH Qualification: MBBS (Madras), MPH (Oxford), PhD (Tokyo)
Dr. Sunil Anand
Asia Regional Director at American Leprosy Missions (ALM) Qualification: MBBS, MD (Dermatology)
Mr. Suresh Kamat
Designation: CXO advisor, Global Advisory Partner Qualification: MPIB (PSG Institute of Management), BE
Dr. Shyamala Anand
Designation: Senior Technical Advisor at American Leprosy Missions (ALM) Qualification: MBBS, MS (Ophthalmology)
Prof. Dr. Senthil Nachimuthu
Designation: Faculty - U of Utah/SLC VAMC; Former Health Tech Executive and product lead Qualification: PhD (Biomedical Informatics); Medical Degree, Medicine
Practise Partners and Supporters
Course Details
| Sr. No | SEMESTER 1 | Sr. No | SEMESTER 2 | Sr. No | SEMESTER 3 | Sr. No | SEMESTER 4 |
|---|---|---|---|---|---|---|---|
| 1 | Human Anatomy | 1 | Microbiology | 1 | Advanced Data Analytics (R/ SPSS/ STATA/ SAS) | 1 | Design Thinking |
| 2 | Human Physiology | 2 | Pathology | 2 | Data Visualization and GIS | 2 | UI/UX for Healthcare |
| 3 | Biochemistry | 3 | Occupational Health | 3 | Evidence-based Medical Tools | 3 | Rapid Prototyping and 3D Printing |
| 4 | Public Health Concepts | 4 | Languages for Coding | 4 | Health Algorithms to Application | 4 | Predictive Analytics (Prediction and Forecasting) |
| 5 | National Health Programs & ABDM | 5 | Introduction to Github | 5 | Mobile Apps & Web Apps | 5 | AI/ML/Gen AI/Computer Vision |
| 6 | Introduction to AYUSH | 6 | Essentials of Research Design & Literature Reviews | 6 | Database Features | 6 | Practicals in UI/UX for Healthcare |
| 7 | English & Communication Skills | 7 | Essential Biostatistics | 7 | API, Plug-in Integration | 7 | Practicals in Rapid Prototyping and 3D Printing |
| 8 | Computer Foundation | 8 | Digital Health Terminology | 8 | Dashboards for Healthcare | 8 | Practicals in Predictive Analytics |
| 9 | Understanding Data Source & Structure | 9 | Regulations and Ethics | 9 | Practicals in Advanced Data Analytics | 9 | Practicals in AI/ML/Gen AI |
| 10 | Practicals in Human Anatomy | 10 | Practicals in Microbiology | 10 | Practicals in Data Visualization | 10 | |
| 11 | Practicals in Physiology | 11 | Practicals in Pathology | 11 | Practicals in Mobile Apps & Web Apps | 11 | |
| 12 | Practicals in Biochemistry | 12 | Practicals in Coding | 12 | 12 |
B.Sc. Digital Health | ||||||||||
Sr.No | SEMESTER 5 |
| Sr.No | SEMESTER 6 |
| Sr.No | SEMESTER 7 |
| Sr.No | SEMESTER 8 |
1 | Electronic Health Records (EHR) |
| 1 | Digital twins |
| 1 | Digital Transformation of Healthcare |
| 1 | Research Project |
2 | Telemedicine |
| 2 | Digital Bedside patient Monitoring |
| 2 | Digital Health Project Management |
| 2 | Review of Topics/Electives |
3 | AR/ VR/ MR for Health care |
| 3 | Digital Emergency and ICU Care |
| 3 | Wearable diagnostics |
| 3 | Critical thinking |
4 | Internet of Medical Things (IoMT) |
| 4 | Digital Home based Healthcare |
| 4 | Exoskeletons & Humanoid for Health Care |
| 4 | Health Care Start up pathway |
5 | Market Research & Needs Assessment |
| 5 | Digital occupational well-being |
| 5 | Drone & UAVs |
| 5 | |
6 | Practicals in AR/ VR/ MR for Health care |
| 6 | Digital Elderly care |
| 6 | Social media in Healthcare |
| 6 | |
7 | Practicals in Internet of Medical Things (IoMT) |
| 7 | Health care Logistics |
| 7 | Cyber Security for Health |
| 7 | |
8 | Internship |
| 8 | Healthcare E-commerce |
| 8 | Research Project Design |
| 8 | |
9 |
| 9 | Finance for Healthcare Settings |
| 9 |
| 9 | |||
B.Sc. Medical Robotics | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Human Anatomy |
| 1 | Microbiology |
| 1 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 1 | Introduction to electronics circuits & platforms |
2 | Human Physiology |
| 2 | Pathology |
| 2 | Data Visualization and GIS |
| 2 | Introduction to Sensors & Health Functions |
3 | Biochemistry |
| 3 | Occupational health |
| 3 | Evidence based Medical Tools |
| 3 | Introduction to Robotics components |
4 | Public Health Concepts |
| 4 | Languages for Coding |
| 4 | Health Algorithms to Application |
| 4 | Sensing using ultrasonic LIDAR & RADAR |
5 | National Health Programs & ABDM |
| 5 | Introduction to Github |
| 5 | Mobile Apps & Web Apps |
| 5 | AI/ML/Gen AI/ computer vision |
6 | Introduction to AYUSH |
| 6 | Essentials of Research Design & Literature Reviews |
| 6 | Database Features |
| 6 | Rapid Prototyping and 3D Printing |
7 | English & Communication Skills |
| 7 | Essential Biostatistics |
| 7 | API, Plug-in Integration |
| 7 | Digital Signal Processing |
8 | Computer Foundation |
| 8 | Digital Health Terminology |
| 8 | Dashboards for Healthcare |
| 8 | Practicals in Robotics modelling |
9 | Understanding Data Source & Structure |
| 9 | Regulations and Ethics |
| 9 | Practicals in Advanced data analytics |
| 9 | Practicals in AI/ML/Gen AI |
10 | Practicals in Human Anatomy |
| 10 | Practicals in Microbiology |
| 10 | Practicals in Data Visualization |
| 10 | |
11 | Practicals in Physiology |
| 11 | Practicals in Pathology |
| 11 | Practicals in Mobile Apps & Web Apps |
| 11 | |
12 | Practicals in Biochemistry |
| 12 | Practicals in Coding |
| 12 |
| 12 | ||
|
|
| ||||||||
B.Sc. Medical Robotics | ||||||||||
Sr.No | SEMESTER 5 |
| Sr.No | SEMESTER 6 |
| Sr.No | SEMESTER 7 |
| Sr.No | SEMESTER 8 |
1 | Autonomous Mobile Navigation for robotics |
| 1 | Digital twins for Robotics |
| 1 | Digital Transformation of Healthcare |
| 1 | Research Project |
2 | Swarm Robotics |
| 2 | Robotics for Bedside patient Monitoring |
| 2 | Digital Health Project Management |
| 2 | Review of Topics/Electives |
3 | AR/ VR/ MR for Health care |
| 3 | Robotics for Emergency and ICU Care |
| 3 | Wearable diagnostics |
| 3 | Critical thinking |
4 | Simulation of Robotics |
| 4 | Robotics for Home based Healthcare |
| 4 | Exoskeletons & Humanoid for Health Care |
| 4 | Health Care Start up pathway |
5 | Market Research & Needs Assessment |
| 5 | Robotics for occupational well-being |
| 5 | Drone & UAVs |
| 5 | |
6 | Practicals in AR/ VR/ MR for Health care |
| 6 | Robotics for Elderly care |
| 6 | Sustainability & recycling |
| 6 | |
7 | Practicals in Simulation of Robotics |
| 7 | Robotics for Health care Logistics |
| 7 | Cyber Security for Health |
| 7 | |
8 | Internship |
| 8 | Robotics for Healthcare E-commerce |
| 8 | Research Project Design |
| 8 | |
9 |
| 9 | Finance for Healthcare Robotics Settings |
| 9 |
| 9 | |||
B.Sc. Medical Devices & Wearables | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Human Anatomy |
| 1 | Microbiology |
| 1 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 1 | Introduction to electronics circuits & platforms |
2 | Human Physiology |
| 2 | Pathology |
| 2 | Data Visualization and GIS |
| 2 | Introduction to Sensors & Health Functions |
3 | Biochemistry |
| 3 | Occupational health |
| 3 | Evidence based Medical Tools |
| 3 | Embedded Systems in Medical Devices |
4 | Public Health Concepts |
| 4 | Languages for Coding |
| 4 | Health Algorithms to Application |
| 4 | Optical sensors, Laser and Imaging |
5 | National Health Programs & ABDM |
| 5 | Introduction to Github |
| 5 | Mobile Apps & Web Apps |
| 5 | AI/ML/Gen AI/ computer vision |
6 | Introduction to AYUSH |
| 6 | Essentials of Research Design & Literature Reviews |
| 6 | Database Features |
| 6 | Rapid Prototyping and 3D Printing |
7 | English & Communication Skills |
| 7 | Essential Biostatistics |
| 7 | API, Plug-in Integration |
| 7 | Digital Signal Processing |
8 | Computer Foundation |
| 8 | Digital Health Terminology |
| 8 | Dashboards for Healthcare |
| 8 | Practicals in Medical device Modelling |
9 | Understanding Data Source & Structure |
| 9 | Regulations and Ethics |
| 9 | Practicals in Advanced data analytics |
| 9 | Practicals in AI/ML/Gen AI |
10 | Practicals in Human Anatomy |
| 10 | Practicals in Microbiology |
| 10 | Practicals in Data Visualization |
| 10 | |
11 | Practicals in Physiology |
| 11 | Practicals in Pathology |
| 11 | Practicals in Mobile Apps & Web Apps |
| 11 | |
12 | Practicals in Biochemistry |
| 12 | Practicals in Coding |
| 12 |
| 12 | ||
|
|
| ||||||||
B.Sc. Medical Devices & Wearables | ||||||||||
Sr.No | SEMESTER 5 |
| Sr.No | SEMESTER 6 |
| Sr.No | SEMESTER 7 |
| Sr.No | SEMESTER 8 |
1 | Clinical Trial process for Medical Devices |
| 1 | Digital twin for Medical devices |
| 1 | Digital Transformation of Healthcare |
| 1 | Research Project |
2 | Regulation for Medical Devices |
| 2 | Medical Devices for Bedside patient Monitoring |
| 2 | Digital Health Project Management |
| 2 | Review of Topics/Electives |
3 | AR/ VR/ MR for Health care |
| 3 | Medical Devices for Emergency and ICU Care |
| 3 | Wearable diagnostics |
| 3 | Critical thinking |
4 | Simulation of Medical devices |
| 4 | Medical Devices for Home based Healthcare |
| 4 | Exoskeletons & Humanoid for Health Care |
| 4 | Health Care Start up pathway |
5 | Market Research & Needs Assessment |
| 5 | Medical Devices for occupational well-being |
| 5 | Drone & UAVs |
| 5 | |
6 | Practicals in AR/ VR/ MR for Health care |
| 6 | Medical Devices for Elderly care |
| 6 | Sustainability & recycling |
| 6 | |
7 | Practicals in Simulation of Medical devices |
| 7 | Medical Devices for Health care Logistics |
| 7 | Cyber Security for Health |
| 7 | |
8 | Internship |
| 8 | Medical Devices for Healthcare E-commerce |
| 8 | Research Project Design |
| 8 | |
9 |
| 9 | Finance for Medical Devices for Healthcare |
| 9 |
| 9 | |||
B.Sc. Immersive Technology in Healthcare | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Human Anatomy |
| 1 | Microbiology |
| 1 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 1 | Interactive Narrative & Digital Story telling |
2 | Human Physiology |
| 2 | Pathology |
| 2 | Data Visualization and GIS |
| 2 | Human Computer Interaction |
3 | Biochemistry |
| 3 | Occupational health |
| 3 | Evidence based Medical Tools |
| 3 | UI/UX for Healthcare |
4 | Public Health Concepts |
| 4 | Languages for Coding |
| 4 | Health Algorithms to Application |
| 4 | 2D & 3D Animation |
5 | National Health Programs & ABDM |
| 5 | Introduction to Github |
| 5 | Mobile Apps & Web Apps |
| 5 | Applied AI/ML/Gen AI/ computer vision |
6 | Introduction to AYUSH |
| 6 | Essentials of Research Design & Literature Reviews |
| 6 | Database Features |
| 6 | Programming for Game Engines |
7 | English & Communication Skills |
| 7 | Essential Biostatistics |
| 7 | API, Plug-in Integration |
| 7 | Practicals in UI/UX Healthcare |
8 | Computer Foundation |
| 8 | Digital Health Terminology |
| 8 | Dashboards for Healthcare |
| 8 | Practicals in Programming for Game Engines |
9 | Understanding Data Source & Structure |
| 9 | Regulations and Ethics |
| 9 | Practicals in Advanced data analytics |
| 9 | Practicals in applied AI/ML/Gen AI |
10 | Practicals in Human Anatomy |
| 10 | Practicals in Microbiology |
| 10 | Practical’s in Data Visualization |
| 10 | |
11 | Practicals in Physiology |
| 11 | Practicals in Pathology |
| 11 | Practicals in Mobile Apps & Web Apps |
| 11 | |
12 | Practicals in Biochemistry |
| 12 | Practicals in Coding |
| 12 |
| 12 | ||
|
|
| ||||||||
B.Sc. Immersive Technology in Healthcare | ||||||||||
Sr.No | SEMESTER 5 |
| Sr.No | SEMESTER 6 |
| Sr.No | SEMESTER 7 |
| Sr.No | SEMESTER 8 |
1 | Sensing using ultrasonic LIDAR & RADAR |
| 1 | Digital twins for AR/VR/MR applications |
| 1 | Digital Transformation of Healthcare |
| 1 | Research Project |
2 | Interactive Audio experience |
| 2 | Digital Bedside patient Monitoring |
| 2 | Digital Health Project Management |
| 2 | Review of Topics/Electives |
3 | AR/ VR/ MR for Health care |
| 3 | AR/VR/MR applications Emergency and ICU Care |
| 3 | Wearable controllers |
| 3 | Critical thinking |
4 | Simulation of Applications |
| 4 | AR/VR/MR applications Home based Healthcare |
| 4 | Exoskeletons & Humanoid for Health Care |
| 4 | Health Care Start up pathway |
5 | Market Research & Needs Assessment |
| 5 | AR/VR/MR applications occupational well-being |
| 5 | Drone & UAVs |
| 5 | |
6 | Practicals in AR/ VR/ MR for Health care |
| 6 | AR/VR/MR applications Elderly care |
| 6 | Social Media in Helthcare |
| 6 | |
7 | Practicals in Simulation of Applications |
| 7 | AR/VR/MR applications Health care Logistics |
| 7 | Cyber Security for Health |
| 7 | |
8 | Internship |
| 8 | AR/VR/MR applications for Healthcare E-commerce |
| 8 | Research Project Design |
| 8 | |
9 |
| 9 | Finance for Healthcare Settings |
| 9 |
| 9 | |||
M.Sc. Digital Health | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Human Anatomy |
| 1 | Microbiology |
| 1 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 1 | Interactive Narrative & Digital Story telling |
2 | Human Physiology |
| 2 | Pathology |
| 2 | Data Visualization and GIS |
| 2 | Human Computer Interaction |
3 | Biochemistry |
| 3 | Occupational health |
| 3 | Evidence based Medical Tools |
| 3 | UI/UX for Healthcare |
4 | Public Health Concepts |
| 4 | Languages for Coding |
| 4 | Health Algorithms to Application |
| 4 | 2D & 3D Animation |
5 | National Health Programs & ABDM |
| 5 | Introduction to Github |
| 5 | Mobile Apps & Web Apps |
| 5 | Applied AI/ML/Gen AI/ computer vision |
6 | Introduction to AYUSH |
| 6 | Essentials of Research Design & Literature Reviews |
| 6 | Database Features |
| 6 | Programming for Game Engines |
7 | English & Communication Skills |
| 7 | Essential Biostatistics |
| 7 | API, Plug-in Integration |
| 7 | Practicals in UI/UX Healthcare |
8 | Computer Foundation |
| 8 | Digital Health Terminology |
| 8 | Dashboards for Healthcare |
| 8 | Practicals in Programming for Game Engines |
9 | Understanding Data Source & Structure |
| 9 | Regulations and Ethics |
| 9 | Practicals in Advanced data analytics |
| 9 | Practicals in applied AI/ML/Gen AI |
10 | Practicals in Human Anatomy |
| 10 | Practicals in Microbiology |
| 10 | Practical’s in Data Visualization |
| 10 | |
11 | Practicals in Physiology |
| 11 | Practicals in Pathology |
| 11 | Practicals in Mobile Apps & Web Apps |
| 11 | |
12 | Practicals in Biochemistry |
| 12 | Practicals in Coding |
| 12 |
| 12 | ||
|
|
| ||||||||
M.Sc. Medical Robotics | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Introduction to electronics circuits & platforms |
| 1 | Swarm Robotics |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Sensors & Health Functions |
| 2 | Simulation of Robotics |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Introduction to Robotics components |
| 3 | AR/ VR/ MR for Health care |
| 3 | |
4 | Occupational health |
| 4 | Sensing using ultrasonic LIDAR & RADAR |
| 4 | Digital twins for Robotics |
| 4 | |
5 | English & Communication Skills |
| 5 | Mobile Apps & Web Apps |
| 5 | Market Research & Needs Assessment |
| 5 | |
6 | Computer Foundation |
| 6 | API, Plug-in Integration |
| 6 | Practicals in AR/ VR/ MR for Robotics in Health care |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Database Features |
| 7 | Practicals in Simulation of Robotics |
| 7 | |
8 | Languages for Coding |
| 8 | Autonomous Mobile Navigation for robotics |
| 8 |
| 8 | ||
9 | Introduction to Github |
| 9 | Practicals in Robotics modelling |
| 9 |
| 9 | ||
10 | Digital Health Terminology |
| 10 |
| 10 |
| 10 | |||
11 | Practicals in Coding |
| 11 |
| 11 |
| 11 | |||
12 |
| 12 |
| 12 |
| 12 | ||||
|
|
| ||||||||
M.Sc. Medical Devices & Wearables | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Introduction to electronics circuits & platforms |
| 1 | Regulation for Medical Devices |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Sensors & Health Functions |
| 2 | Simulation of Medical devices |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Embedded Systems in Medical Devices |
| 3 | AR/ VR/ MR for Health care |
| 3 | |
4 | Occupational health |
| 4 | Optical sensors, Laser and Imaging |
| 4 | Digital twin for Medical devices |
| 4 | |
5 | English & Communication Skills |
| 5 | Mobile Apps & Web Apps |
| 5 | Market Research & Needs Assessment |
| 5 | |
6 | Computer Foundation |
| 6 | API, Plug-in Integration |
| 6 | Practicals in AR/ VR/ MR for Medical devices in Health care |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Database Features |
| 7 | Practicals in Simulation of Medical devices |
| 7 | |
8 | Languages for Coding |
| 8 | Clinical Trial process for Medical Devices |
| 8 |
| 8 | ||
9 | Introduction to Github |
| 9 | Practicals in Medical device Modelling |
| 9 |
| 9 | ||
10 | Digital Health Terminology |
| 10 |
| 10 |
| 10 | |||
11 | Practicals in Coding |
| 11 |
| 11 |
| 11 | |||
12 |
| 12 |
| 12 |
| 12 | ||||
|
|
| ||||||||
M.Sc. Immersive Technology in Healthcare | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Interactive Narrative & Digital Story telling |
| 1 | Interactive Audio experience |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Human Computer Interaction |
| 2 | Simulation of Applications |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | UI/UX for Healthcare |
| 3 | AR/ VR/ MR for Health care |
| 3 | |
4 | Occupational health |
| 4 | 2D & 3D Animation |
| 4 | Digital twins for AR/VR/MR applications |
| 4 | |
5 | English & Communication Skills |
| 5 | Mobile Apps & Web Apps |
| 5 | Market Research & Needs Assessment |
| 5 | |
6 | Computer Foundation |
| 6 | API, Plug-in Integration |
| 6 | Practicals in AR/ VR/ MR for Health care |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Database Features |
| 7 | Practicals in Simulation of Applications |
| 7 | |
8 | Languages for Coding |
| 8 | Sensing using ultrasonic LIDAR & RADAR |
| 8 |
| 8 | ||
9 | Introduction to Github |
| 9 | Practicals in Programming for Game Engines |
| 9 |
| 9 | ||
10 | Digital Health Terminology |
| 10 |
| 10 |
| 10 | |||
11 | Practicals in Coding |
| 11 |
| 11 |
| 11 | |||
12 |
| 12 |
| 12 |
| 12 | ||||
|
|
| ||||||||
M.Sc. Health Informatics | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Principles of Epidemiology & Research Methodologies |
| 1 | Telemedicine |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Biostatistics |
| 2 | Developing Health Informatics systems: Software, Hadware, Network & Sensors |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Electronic health records |
| 3 | Clinical Decision Support Systems |
| 3 | |
4 | Occupational health |
| 4 | Healthcare data standards |
| 4 | Patient Monitoring Systems |
| 4 | |
5 | English & Communication Skills |
| 5 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 5 | Consumers Health Informatics |
| 5 | |
6 | Computer Foundation |
| 6 | Data Visualization & GIS |
| 6 | Health Finance and Insurance |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Dashboards for Healthcare |
| 7 | Cybersecurity for Health |
| 7 | |
8 | Languages for Coding |
| 8 | Database Features |
| 8 | Biometrics for Health Systems |
| 8 | |
9 | Introduction to Github |
| 9 | Practicals in Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 | Ethics in Health Informatics |
| 9 | |
10 | Digital Health Terminology |
| 10 | Practicals in Data Visualization & GIS |
| 10 |
| 10 | ||
11 | Practicals in Coding |
| 11 |
| 11 |
| 11 | |||
M.Sc. Data Analytics | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Principles of Epidemiology & Research Methodologies |
| 1 | AI/ML/Gen AI/ computer vision |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Biostatistics |
| 2 | Evidence based Medical Tools |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Electronic health records |
| 3 | Clinical Decision Support Systems |
| 3 | |
4 | Occupational health |
| 4 | Healthcare data standards |
| 4 | Health care supply chain Analytics |
| 4 | |
5 | English & Communication Skills |
| 5 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 5 | Analytics for health care E Commerce |
| 5 | |
6 | Computer Foundation |
| 6 | Data Visualization & GIS |
| 6 | Clinical Research Analytics (for clinical trials) |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Dashboards for Healthcare |
| 7 | Health Finanace and Insurance |
| 7 | |
8 | Languages for Coding |
| 8 | Database Features |
| 8 | Cybersecurity for Health |
| 8 | |
9 | Introduction to Github |
| 9 | Practicals in Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 | Practicals in Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 | |
10 | Digital Health Terminology |
| 10 | Practicals in Data Visualization & GIS |
| 10 |
| 10 | ||
11 | Practical’s in Coding |
| 11 |
| 11 |
| 11 | |||
M.Sc. eHealth & Telemedicine | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Principles of Epidemiology & Research Methodologies |
| 1 | Telemedicine |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Biostatistics |
| 2 | Patient Monitoring Systems |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Electronic health records |
| 3 | Clinical Decision Support Systems |
| 3 | |
4 | Occupational health |
| 4 | Healthcare data standards |
| 4 | Home based health care |
| 4 | |
5 | English & Communication Skills |
| 5 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 5 | Biometrics for Health systems |
| 5 | |
6 | Computer Foundation |
| 6 | Data Visualization & GIS |
| 6 | Health Finanace and Insurance |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Dashboards for Healthcare |
| 7 | Cybersecurity for Health |
| 7 | |
8 | Languages for Coding |
| 8 | Database Features |
| 8 | Regulations and Ethics |
| 8 | |
9 | Introduction to Github |
| 9 | Practicals in Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 | Practicals in Machine Learning |
| 9 | |
10 | Digital Health Terminology |
| 10 | Practicals in Data Visualization & GIS |
| 10 |
| 10 | ||
11 | Practicals in Coding |
| 11 |
| 11 |
| 11 | |||
M.Sc. Health Data Science | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Principles of Epidemiology & Research Methodologies |
| 1 | AI/ML/Gen AI/ computer vision |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Biostatistics |
| 2 | Time series analysis in Healthcare Data (Patient Monitoring Data) |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Electronic health records |
| 3 | Clinical Decision Support Systems |
| 3 | |
4 | Occupational health |
| 4 | Healthcare data standards |
| 4 | Predictive Analytics |
| 4 | |
5 | English & Communication Skills |
| 5 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 5 | Simulation in Health Care |
| 5 | |
6 | Computer Foundation |
| 6 | Data Visualization & GIS |
| 6 | Digital Twins Applications in Health Care |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Dashboards for Healthcare |
| 7 | Cybersecurity for Health |
| 7 | |
8 | Languages for Coding |
| 8 | Database Features |
| 8 | Practicals in AI/ML/Gen AI/ computer vision |
| 8 | |
9 | Introduction to Github |
| 9 | Practicals in Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 |
| 9 | ||
10 | Digital Health Terminology |
| 10 | Practicals in Data Visualization & GIS |
| 10 |
| 10 | ||
11 | Practical’s in Coding |
| 11 |
| 11 |
| 11 | |||
12 |
| 12 |
| 12 |
| 12 | ||||
|
|
| ||||||||
M.Sc. Health Technology Assessment | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Principles of Epidemiology & Research Methodologies |
| 1 | Costing and Economic evaluation in health care |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Introduction to Biostatistics |
| 2 | Effectiveness and Efficiency Evaluation |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Electronic health records |
| 3 | Measuring Health Outcomes |
| 3 | |
4 | Occupational health |
| 4 | Advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 4 | Cost benefit evaluation, QALY and DALY |
| 4 | |
5 | English & Communication Skills |
| 5 | Predictive Analytics(Prediction and Forecasting) |
| 5 | Economic Modelling and Prediction for Health care |
| 5 | |
6 | Computer Foundation |
| 6 | Pharmacoeconomics |
| 6 | Equity and Social Impact of Health Technology |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 | Dashboards for Healthcare |
| 7 | Cybersecurity for Health |
| 7 | |
8 | Languages for Coding |
| 8 | Regulations & Ethics |
| 8 | Practicals for Economic Modelling and Prediction for Health care |
| 8 | |
9 | Introduction to Github |
| 9 | Practicals in advanced data analytics (R/ SPSS/ STATA/ SAS) |
| 9 | Practicals for Costing and Economic evaluation in health care |
| 9 | |
10 | Digital Health Terminology |
| 10 |
| 10 |
| 10 | |||
11 | Practical’s in Coding |
| 11 |
| 11 |
| 11 | |||
M.Sc. Aviation Technology for Healthcare & Disaster Management | ||||||||||
Sr.No | SEMESTER 1 |
| Sr.No | SEMESTER 2 |
| Sr.No | SEMESTER 3 |
| Sr.No | SEMESTER 4 |
1 | Introduction to Health Systems |
| 1 | Introduction to UAV Technologies |
| 1 | Internet of Medical Things (IoMT) |
| 1 | Research Project / Thesis |
2 | National Health Programs & ABDM |
| 2 | Wireless Communication, Antennas & RF Systems |
| 2 | Telemedicine & Remote Patient Monitoring via Aviation Networks |
| 2 | Review of Topics/Electives |
3 | Introduction to AYUSH |
| 3 | Digital Signal Processing |
| 3 | AR/ VR/ MR for Aviation Technology |
| 3 | |
4 | Occupational health |
| 4 | Aviation Science & Aerospace Medicine |
| 4 | Predictive Analytics for Disaster awareness |
| 4 | |
5 | English & Communication Skills |
| 5 | Healthcare Logistics & Suppy chain Management |
| 5 | Humanitarian Air Operations & Disaster Relief Missions |
| 5 | |
6 | Computer Foundation |
| 6 | Disaster Mangement & Emergency Response |
| 6 | Aeromedical Evacuation Planning & Mass Casualty Management |
| 6 | |
7 | Understanding Data Source & Structure |
| 7 |
| 7 | Advanced UAV Applications in Health & Crisis Response |
| 7 | ||
8 | Languages for Coding |
| 8 | Regulations, Ethics & Legal Framework |
| 8 | Practicals in AR/ VR/ MR for Aviation Technology |
| 8 | |
9 | Introduction to Github |
| 9 | Data Visualization & GIS |
| 9 |
| 9 | ||
10 | Digital Health Terminology |
| 10 | Practicals in Data Visualization & GIS |
| 10 |
| 10 | ||
11 | Practical’s in Coding |
| 11 |
| 11 |
| 11 | |||
Teaching Pedagogy
1 Academic year = 2 Semesters
Semester = 90 working days = Minimum 15 weeks
1 credit = 15 hours of lectures/tutorials = 2.5 – 3 days (or)
1 credit = 30 hours of Practical/Lab/Fieldwork/Seminar = About 5 days
20 credits = approximately 12-15 weeks including holidays and other requirements
Summer term = 8 weeks
Summer Internship/Work-based occasional training/Regular courses/Additional courses/Backlogs = 1-2 weeks
2 credits – Summer internship
9 credits – Skills enhancement Courses
9 credits – Ability enhancement Courses
Teaching hours per day = 6 hours (9:00 AM to 4:00 PM, with a 1-hr lunch break)
S. No | Broad Category of Course | Minimum Credit Requirement | |
| 3-year UG | 4-Year UG | |
1 | Major (Core) | 60 | 80 |
2 | Minor Stream | 24 | 32 |
3 | Multidisciplinary | 9 | 6 |
4 | Ability Enhancement Courses (AEC) | 8 | 8 |
5 | Skill Enhancement Courses (SEC) | 9 | 9 |
6 | Value Added Courses common for all UG | 6-8 | 6-8 |
7 | Summer Internship | 2-4 | 2-4 |
8 | Research Project/Disseration | – | 12 |
| Total | 120 | 160 |
Note — Honours students not undertaking research will take 3 courses for 12 credits instead of a research project/Dissertation.
| |||
1 year UG certificate – 40 credits + 4 occasional credits
2-year UG Diploma – 80 credits + 4 occasional credits
3-year B.Sc. degree – 120 credits major discipline
4-year B.Sc. degree with honours – 160 credits in Major discipline
4-year Multidisciplinary B.Sc. degree with honours + research – 160 credits [75% marks and above in UG degree with 4th year research project or dissertation (12 credits) in the major discipline]
Students who exit with a UG certificate or UG diploma are allowed to re-entry within 3 years and complete the program within a maximum of 7 years
Eligibility for the UG Programs
3-year Bachelors degree – Senior Secondary School Leaving Certificate or Higher Secondary (12th Grade) Certificate obtained after successful completion of Grade 12 or equivalent stage of education
4-year Bachelors degree with honours – Senior Secondary School Leaving Certificate or Higher Secondary (12th Grade) Certificate obtained after successful completion of Grade 12 or equivalent stage of education
4-year Multidisciplinary Bachelors degree with Honours + Research B.Sc. – Senior Secondary School Leaving Certificate or Higher Secondary (12th Grade) Certificate obtained after successful completion of Grade 12 or equivalent stage of education
- School of Digital Health Sciences & Technology