Post Graduate Diploma AI in Healthcare (in collaboration with Max) - Bennett University
Source: https://www.bennett.edu.in/progrmas/post-graduate-diploma-ai-healthcare
Archived: 2026-04-23 17:16
Post Graduate Diploma AI in Healthcare (in collaboration with Max) - Bennett University
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Post Graduate Diploma AI in Healthcare (in collaboration with Max)
Post Graduate Diploma AI in Healthcare
(in collaboration with Max)
A unique, industry-aligned Post Graduate Diploma jointly offered by Bennett University and Max Healthcare combines academic depth with real-world clinical exposure. The one-year hybrid program is thoughtfully structured to offer a deep blend of academic learning and hands-on experience, ensuring that students gain not only theoretical knowledge but also practical insights to deploy AI effectively in clinical settings. With more than 50% of the curriculum dedicated to practical application, the program is a beacon for experiential and impactful learning in the rapidly evolving healthcare ecosystem.
Duration
1 Yr.
Credits
40
Mode
Hybrid
Start Date
July 2026
Industry-Aligned Curriculum
Co-designed with Max Healthcare doctors and AI experts.
Covers AI-based medical imaging, predictive diagnostics, health data analytics, and more.
Hospital Integration
Guaranteed clinical training at Max Healthcare hospitals.
Exposure to real-world clinical workflows, hospital AI systems, and patient data.
Promising Career Prospects
AI in Healthcare is projected to grow to $188 billion by 2030 (Statista).
India ranks among the top 3 countries in AI healthcare startup growth (NASSCOM).
Hospitals and health-tech firms are actively seeking AI talent with expertise in healthcare and operations.
Dean’s
Message
Dr. Rajeev Tiwari
Dean, School of Artificial Intelligence
As Dean of the School of Artificial Intelligence and Head of Industry Connects at Bennett University, I am immensely happy to present our PG Diploma in AI in Healthcare, a truly pioneering program designed specifically for executive working professionals. Developed in close collaboration with Max Healthcare, our School of AI, and the School of Engineering-Biotechnology, this program uniquely blends our robust academic excellence with unparalleled hands-on clinical exposure within a leading hospital environment.
My expectation for this program is that it will empower a new generation of healthcare leaders- professionals who can seamlessly integrate cutting-edge AI solutions into clinical practice, driving efficiency, improving patient outcomes, and fostering innovation across the industry. The dual mentorship model, combining academic and clinical expertise , along with practical, industry-relevant capstone projects, are meticulously crafted to ensure our graduates are not just knowledgeable, but also adept at real-world problem-solving. This is more than a diploma; it's a commitment to shaping the future of healthcare through intelligent design and application, further strengthening our ties and moving ahead with TIMES, The Times Group's.
Prof. Latha Narayanan
Head, Department of Biotechnology
Dean, School of Engineering & Applied Sciences
It gives me great pleasure to introduce the PG Diploma program in AI for Healthcare to aspiring participants. Recognizing the urgent need to define Artificial Intelligence (AI) ’s place in health & medicine, Bennett University has partnered with Max Healthcare, in truly preparing India to move with the Times.
As a researcher in Bioinformatics & Computational Biology for over 20 years, I am aware of the role of computation in understanding disease biology and addressing unmet medical challenges. With the ever-increasing volume of data generated from advancement in technologies, integration of AI in healthcare holds promising potential in disease diagnosis, therapeutics & patient care.
Bennett University in partnership with Max Healthcare aims to equip professionals with theoretical knowledge and tools to understand & apply Artificial Intelligence in clinical settings. By bringing together faculty experts in Artificial Intelligence, Computational Biology and Medical Sciences, we are uniquely positioned to highlight the transformative potential of AI. This course provides a valuable platform for participants from diverse backgrounds to explore and excel at the intersection of Artificial Intelligence and healthcare.
As Dean, School of Engineering & Applied Sciences I encourage you to explore this program and thoughtfully consider advancing your career in AI applications for healthcare.
Program
Objectives
This industry-aligned, premium program aims to equip science graduates and working healthcare professionals with advanced AI capabilities tailored to real-world medical challenges.
Program
Details
Mode
: Online + 8 On-Campus Immersions
Schedule
: Weekend Classes (Saturday & Sunday)
Duration
: 1 Year (2 Semesters)
Curriculum
:
2025-26
Intake
: 20 Students/Year |
Lecture Hours
: 15 Hrs./Week
Modules
: 10 (5/Semester) + Capstone Project
Certification
: By Bennett University, jointly branded with Max Healthcare
Program Highlights
NEP-aligned Curriculum:
Balances theory, labs, and clinical practice.
Realworld Research & Projects:
Tackle AI challenges in diagnostics, prognostics, hospital operations.
Mentorship:
Guidance from School of AI faculty and Max Healthcare experts.
State-of-the-Art:
Includes access to State-of-the-art healthcare & AI Labs.
Research:
30-40 % research component in every course.
Program Structure
Semester 1: Bennett University
Focus: AI foundations, data science, healthcare informatics.
Delivery: Lectures, labs, doubt-clearing sessions.
Faculty: Bennett University internal faculty (honorarium-based).
Immersion: Four campus visits.
Semester 2: Max Healthcare
Focus: Clinical AI applications, hospital integration.
Delivery: Simulation labs, patient environments, case studies.
Faculty: Max-employed clinical professional.
Immersion: Four hospital-based visits.
Why PG Diploma AI in Healthcare
First-of-its-Kind: India’s premier industry-linked Postgraduate Diploma in AI for Healthcare with a hospital brand.
Dual Mentorship: Academic + Clinical guidance for practical learning and capstone support.
Who can apply for PG Diploma AI in Healthcare?
The PG Diploma AI in Healthcare is a premium, industry-aligned program for science graduates (B.Sc., B. Tech, B. Pharm…) and working healthcare professionals (doctors, nurses, pharmacists, radiographers, allied health professionals, and clinical researchers).
Future Opportunities
Foundation for long-format UG/PG programs with Max Healthcare.
Unlock exciting career progression opportunities at the intersection of artificial intelligence and healthcare innovation.
AI Models and Tools Covered
As part of the PG Diploma AI in Healthcare, students will get hands-on experience with the following high-impact, free tools that are widely used in AI and medical research. These tools are selected to build strong, job-ready skills in data science, clinical AI, and digital health analytics.
1. Prompt Writing & Optimisation Tools
Learn how to craft precise prompts for AI systems to extract reliable medical insights, generate patient summaries, or build interactive AI assistants.
Practice with tools like ChatGPT, Gemini, and Perplexity AI for evidence-based medical querying and clinical text generation.
2. Machine Learning & Deep Learning Foundations
Use Google Colab (free cloud GPU) to build models using:
TensorFlow / Keras
PyTorch
Scikit-learn
Develop AI models for disease prediction, classification, and prognosis.
3. AI Tools for Medical Imaging & Segmentation
Gain hands-on skills with tools like:
3D Slicer – for CT/MRI/thermal image visualization and segmentation
MITK (Medical Imaging Interaction Toolkit) – for interactive analysis
ITK-SNAP – for anatomical structure annotation
Learn to process DICOM files and perform tumor detection or tissue segmentation.
4. Healthcare Data Visualisation & Storytelling
Create interactive dashboards and visual summaries using:
Power BI (free desktop version)
Tableau Public
Image or 3D data visualization
Ideal for analyzing
hospital data
,
patient trends
, and
AI model outputs
.
5. ICU & Hospital Dataset Handling
Work with real-world clinical datasets.
Learn to extract features from
ECG, vitals, lab data
, and build models for
patient monitoring and outcome prediction
.
6. Medical Data Annotation Tools
Prepare training data for supervised learning models in healthcare.
7. Filtering & Denoising Medical Signals
Learn how to clean noisy health data (ECG, EEG, thermal signals) using:
Python
SciPy
,
OpenCV
,
Matlab
Image Denoising & Filtering
Apply these techniques for
accurate diagnosis and monitoring
.
Why These Tools Matter
All tools are open-source, and used by top hospitals, health-tech firms, and researchers.
Expertise in these tools gives you a practical edge in job roles like AI Engineer, Clinical
Data Analyst, Medical Imaging Scientist, and Healthcare Product Designer among others.
MAX Faculty
Dr. Sandeep Budhiraja
Group Medical Director, Max Healthcare
Mr. Arjun Sharma
Director & Chief Digital Officer – Product, Max Healthcare
Mr. Nikhil Goel
Vice President - Information Technology, Max Healthcare
Dr. Bharat Aggarwal
Principal Director - Radiology Services – Radiology, Max Healthcare
Dr. Dinesh Jain
Vice President - Clinical Analytics, Max Healthcare
Dr. Saroj Sabath
Vice President Clinical Research, Max Healthcare
BU Faculty
Prof. N. Latha
Dean, School of Engineering and Applied Sciences, Bennett University
Prof. (Dr.) Rajeev Tiwari
Dean, School of Artificial Intelligence
Dr. Manoj Sharma
Ph.D. - IIT Delhi
Dr. Pratyush Pranav
Ph.D. - University of Groningen
Dr. Dinesh Kumar
Ph.D. - University of Coimbra, Portugal
Dr. Shakshi Sharma
Ph.D. - University of Tartu, Estonia
Dr. Neelam Choudhary
Ph.D. - IIT Guwahati
Dr. Navneet Pratap Singh
Ph.D. - IIT Indore
Dr. Yajnaseni Dash
Ph.D. - IIT Delhi
Dr. Gaurav Sharma
Ph.D. - NIT, Hamirpur
Dr. Prateek Yadav
Ph.D.- IIT Delhi
ELIGIBILITY
PGD AI Healthcare
Eligibility Criteria & Selection Process
Eligibility Criteria
Academic
(Min. 55% UG in):
Healthcare: MBBS, BDS, BAMS, BPT, B.Sc. Nursing, B.Pharm
Tech/Science: B. Tech/B.E., B.Sc. (Biotech, Life Sci, Math, Stats, CS, etc.)
Others
: Allied Health, Nutrition, Data Science, Health Informatics
Preferred Experience
: 1–3 yrs in healthcare, research, IT, clinical data, pharma (not mandatory)
Selection Criteria
Academic Profile – 35%
SOP – 25%
Personal Interview
– 40% (online or offline with Bennett University + Max panel)
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Post Graduate Diploma AI in Healthcare (in collaboration with Max)
Post Graduate Diploma AI in Healthcare
(in collaboration with Max)
A unique, industry-aligned Post Graduate Diploma jointly offered by Bennett University and Max Healthcare combines academic depth with real-world clinical exposure. The one-year hybrid program is thoughtfully structured to offer a deep blend of academic learning and hands-on experience, ensuring that students gain not only theoretical knowledge but also practical insights to deploy AI effectively in clinical settings. With more than 50% of the curriculum dedicated to practical application, the program is a beacon for experiential and impactful learning in the rapidly evolving healthcare ecosystem.
Duration
1 Yr.
Credits
40
Mode
Hybrid
Start Date
July 2026
Industry-Aligned Curriculum
Co-designed with Max Healthcare doctors and AI experts.
Covers AI-based medical imaging, predictive diagnostics, health data analytics, and more.
Hospital Integration
Guaranteed clinical training at Max Healthcare hospitals.
Exposure to real-world clinical workflows, hospital AI systems, and patient data.
Promising Career Prospects
AI in Healthcare is projected to grow to $188 billion by 2030 (Statista).
India ranks among the top 3 countries in AI healthcare startup growth (NASSCOM).
Hospitals and health-tech firms are actively seeking AI talent with expertise in healthcare and operations.
Dean’s
Message
Dr. Rajeev Tiwari
Dean, School of Artificial Intelligence
As Dean of the School of Artificial Intelligence and Head of Industry Connects at Bennett University, I am immensely happy to present our PG Diploma in AI in Healthcare, a truly pioneering program designed specifically for executive working professionals. Developed in close collaboration with Max Healthcare, our School of AI, and the School of Engineering-Biotechnology, this program uniquely blends our robust academic excellence with unparalleled hands-on clinical exposure within a leading hospital environment.
My expectation for this program is that it will empower a new generation of healthcare leaders- professionals who can seamlessly integrate cutting-edge AI solutions into clinical practice, driving efficiency, improving patient outcomes, and fostering innovation across the industry. The dual mentorship model, combining academic and clinical expertise , along with practical, industry-relevant capstone projects, are meticulously crafted to ensure our graduates are not just knowledgeable, but also adept at real-world problem-solving. This is more than a diploma; it's a commitment to shaping the future of healthcare through intelligent design and application, further strengthening our ties and moving ahead with TIMES, The Times Group's.
Prof. Latha Narayanan
Head, Department of Biotechnology
Dean, School of Engineering & Applied Sciences
It gives me great pleasure to introduce the PG Diploma program in AI for Healthcare to aspiring participants. Recognizing the urgent need to define Artificial Intelligence (AI) ’s place in health & medicine, Bennett University has partnered with Max Healthcare, in truly preparing India to move with the Times.
As a researcher in Bioinformatics & Computational Biology for over 20 years, I am aware of the role of computation in understanding disease biology and addressing unmet medical challenges. With the ever-increasing volume of data generated from advancement in technologies, integration of AI in healthcare holds promising potential in disease diagnosis, therapeutics & patient care.
Bennett University in partnership with Max Healthcare aims to equip professionals with theoretical knowledge and tools to understand & apply Artificial Intelligence in clinical settings. By bringing together faculty experts in Artificial Intelligence, Computational Biology and Medical Sciences, we are uniquely positioned to highlight the transformative potential of AI. This course provides a valuable platform for participants from diverse backgrounds to explore and excel at the intersection of Artificial Intelligence and healthcare.
As Dean, School of Engineering & Applied Sciences I encourage you to explore this program and thoughtfully consider advancing your career in AI applications for healthcare.
Program
Objectives
This industry-aligned, premium program aims to equip science graduates and working healthcare professionals with advanced AI capabilities tailored to real-world medical challenges.
Program
Details
Mode
: Online + 8 On-Campus Immersions
Schedule
: Weekend Classes (Saturday & Sunday)
Duration
: 1 Year (2 Semesters)
Curriculum
:
2025-26
Intake
: 20 Students/Year |
Lecture Hours
: 15 Hrs./Week
Modules
: 10 (5/Semester) + Capstone Project
Certification
: By Bennett University, jointly branded with Max Healthcare
Program Highlights
NEP-aligned Curriculum:
Balances theory, labs, and clinical practice.
Realworld Research & Projects:
Tackle AI challenges in diagnostics, prognostics, hospital operations.
Mentorship:
Guidance from School of AI faculty and Max Healthcare experts.
State-of-the-Art:
Includes access to State-of-the-art healthcare & AI Labs.
Research:
30-40 % research component in every course.
Program Structure
Semester 1: Bennett University
Focus: AI foundations, data science, healthcare informatics.
Delivery: Lectures, labs, doubt-clearing sessions.
Faculty: Bennett University internal faculty (honorarium-based).
Immersion: Four campus visits.
Semester 2: Max Healthcare
Focus: Clinical AI applications, hospital integration.
Delivery: Simulation labs, patient environments, case studies.
Faculty: Max-employed clinical professional.
Immersion: Four hospital-based visits.
Why PG Diploma AI in Healthcare
First-of-its-Kind: India’s premier industry-linked Postgraduate Diploma in AI for Healthcare with a hospital brand.
Dual Mentorship: Academic + Clinical guidance for practical learning and capstone support.
Who can apply for PG Diploma AI in Healthcare?
The PG Diploma AI in Healthcare is a premium, industry-aligned program for science graduates (B.Sc., B. Tech, B. Pharm…) and working healthcare professionals (doctors, nurses, pharmacists, radiographers, allied health professionals, and clinical researchers).
Future Opportunities
Foundation for long-format UG/PG programs with Max Healthcare.
Unlock exciting career progression opportunities at the intersection of artificial intelligence and healthcare innovation.
AI Models and Tools Covered
As part of the PG Diploma AI in Healthcare, students will get hands-on experience with the following high-impact, free tools that are widely used in AI and medical research. These tools are selected to build strong, job-ready skills in data science, clinical AI, and digital health analytics.
1. Prompt Writing & Optimisation Tools
Learn how to craft precise prompts for AI systems to extract reliable medical insights, generate patient summaries, or build interactive AI assistants.
Practice with tools like ChatGPT, Gemini, and Perplexity AI for evidence-based medical querying and clinical text generation.
2. Machine Learning & Deep Learning Foundations
Use Google Colab (free cloud GPU) to build models using:
TensorFlow / Keras
PyTorch
Scikit-learn
Develop AI models for disease prediction, classification, and prognosis.
3. AI Tools for Medical Imaging & Segmentation
Gain hands-on skills with tools like:
3D Slicer – for CT/MRI/thermal image visualization and segmentation
MITK (Medical Imaging Interaction Toolkit) – for interactive analysis
ITK-SNAP – for anatomical structure annotation
Learn to process DICOM files and perform tumor detection or tissue segmentation.
4. Healthcare Data Visualisation & Storytelling
Create interactive dashboards and visual summaries using:
Power BI (free desktop version)
Tableau Public
Image or 3D data visualization
Ideal for analyzing
hospital data
,
patient trends
, and
AI model outputs
.
5. ICU & Hospital Dataset Handling
Work with real-world clinical datasets.
Learn to extract features from
ECG, vitals, lab data
, and build models for
patient monitoring and outcome prediction
.
6. Medical Data Annotation Tools
Prepare training data for supervised learning models in healthcare.
7. Filtering & Denoising Medical Signals
Learn how to clean noisy health data (ECG, EEG, thermal signals) using:
Python
SciPy
,
OpenCV
,
Matlab
Image Denoising & Filtering
Apply these techniques for
accurate diagnosis and monitoring
.
Why These Tools Matter
All tools are open-source, and used by top hospitals, health-tech firms, and researchers.
Expertise in these tools gives you a practical edge in job roles like AI Engineer, Clinical
Data Analyst, Medical Imaging Scientist, and Healthcare Product Designer among others.
MAX Faculty
Dr. Sandeep Budhiraja
Group Medical Director, Max Healthcare
Mr. Arjun Sharma
Director & Chief Digital Officer – Product, Max Healthcare
Mr. Nikhil Goel
Vice President - Information Technology, Max Healthcare
Dr. Bharat Aggarwal
Principal Director - Radiology Services – Radiology, Max Healthcare
Dr. Dinesh Jain
Vice President - Clinical Analytics, Max Healthcare
Dr. Saroj Sabath
Vice President Clinical Research, Max Healthcare
BU Faculty
Prof. N. Latha
Dean, School of Engineering and Applied Sciences, Bennett University
Prof. (Dr.) Rajeev Tiwari
Dean, School of Artificial Intelligence
Dr. Manoj Sharma
Ph.D. - IIT Delhi
Dr. Pratyush Pranav
Ph.D. - University of Groningen
Dr. Dinesh Kumar
Ph.D. - University of Coimbra, Portugal
Dr. Shakshi Sharma
Ph.D. - University of Tartu, Estonia
Dr. Neelam Choudhary
Ph.D. - IIT Guwahati
Dr. Navneet Pratap Singh
Ph.D. - IIT Indore
Dr. Yajnaseni Dash
Ph.D. - IIT Delhi
Dr. Gaurav Sharma
Ph.D. - NIT, Hamirpur
Dr. Prateek Yadav
Ph.D.- IIT Delhi
ELIGIBILITY
PGD AI Healthcare
Eligibility Criteria & Selection Process
Eligibility Criteria
Academic
(Min. 55% UG in):
Healthcare: MBBS, BDS, BAMS, BPT, B.Sc. Nursing, B.Pharm
Tech/Science: B. Tech/B.E., B.Sc. (Biotech, Life Sci, Math, Stats, CS, etc.)
Others
: Allied Health, Nutrition, Data Science, Health Informatics
Preferred Experience
: 1–3 yrs in healthcare, research, IT, clinical data, pharma (not mandatory)
Selection Criteria
Academic Profile – 35%
SOP – 25%
Personal Interview
– 40% (online or offline with Bennett University + Max panel)
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