Limited 30 Seats with Early Bird Fee

6 Reasons Why Professionals Prefer this Programme

  • IISc Advantage
    Get certified by IISc, India’s #1 University and access the world-class institutional knowledge in Biomedical Science and Deep Tech Research

  • Expert Faculty
    Learn from top Biomedical faculty with combined expertise in Computational Data Science and Biological Sciences

  • Unique Design
    A unique executive programme designed to help professionals at the intersection of healthcare and technology

  • 1:1 Mentoring
    Personal mentoring by experts to help you in your learning journey

  • Peer Networking
    Join the elite community of top digital health professionals, practitioners and researchers

  • TalentSprint Advantage
    Build your expertise 24x7 with our best-in-class pracademic platform

AI will create 7 lakh jobs for healthcare sector by 2030

The Indian Digital Health market is estimated to reach INR 485 Bn by 2024.

By 2020, medical data will double every 73 days.

Covid-19 Accelerates the Adoption of Telemedicine.

Career Outlook: Top Digital Health Jobs to Watch Out

  • Healthcare Data Analyst
  • Research Scientist, Health AI
  • Senior Medical Imaging Software Engineer
  • Research Scientist - Healthcare Image Analytics
  • Digital Health Consultant
  • Digital Health Developer
  • And more

Be at the epicenter of the future of health

Digital Health

About the Programme

The healthcare ecosystem is rapidly shifting towards innovative care delivery models such as virtual, remote, and alternate care. The deployment of AI, advanced data analytics, Internet of Things (IoT) as well as other emerging technologies and data-driven tools, are changing the nature of healthcare solutions and delivery systems.

Companies are innovating faster to adapt to new needs: patients are being treated remotely through mobile doctor apps, symptom-checking bots are triaging patients and providing tailored advice, and new remote consultation and tracking solutions are hitting the market fast.

Indian Institute of Science (IISc), Centre for Continuing Education (CCE), with its expertise in multi-disciplinary science is best positioned to offer a programme on Digital Health and Imaging. Delivered in association with TalentSprint, this executive friendly in-depth and comprehensive programme is best suited for professionals creating cutting edge technology solutions in eHealth, Personalized Healthcare, BioTech, Medical Devices, Wearables, Digital Therapeutics and more.

About Indian Institute of Science

  • India’s #1 University by NIRF (2016-20)
  • 2 Bharat Ratna Awardees
    (1954, 2014)
  • Times Higher Education
    #1 University in India (2020)
  • RUR World
    #62 (2020)

IISc (Indian Institute of Science) is the oldest and the finest higher education institute of its kind in India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit

The Programme will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of target groups: Research & Development (R&D) Laboratories and Industries, Research Scientists/Engineers, to enable them to grow into competent managers of technology intensive and data-driven organizations. For more information visit

Learn from Leaders

  • Prof. Phaneendra Yalavarthy
    Programme Coordinator
    Ph.D. Engineering Sciences, Dartmouth College, USA

    An Associate Professor at the Department of Computational and Data Sciences, IISc. and a Faculty Associate for Interdisciplinary Mathematical Sciences and Convenor for Medical Imaging Group, CDS at IISc. Subject expert in Computational methods in Medical Imaging, Medical Image Processing, and Physiological Signal Processing.

  • Prof. Jaya Prakash
    Programme Faculty
    Ph.D. Medical Imaging, Indian Institute of Science, India

    Assistant Professor at the Department of Instrumentation and Applied Physics, IISc. His prior experience is with companies like Shell Technology Center, and iThera Medical-Munich. His key research areas include: Optical/Optoacoustic Imaging and Multi-Modal Imaging Systems.

  • Prof. Ambedkar Dukkipati
    Programme Faculty
    Ph.D. Indian Institute of Science, India

    Associate Professor at Department of Computer Science and Automation, an IIT Madras and IISc alumni. His research interests include statistical network analysis, network representation learning, spectral graph methods, machine learning in low data regime, sequential decision-making under uncertainty and deep reinforcement learning.

  • Prof. Venkatesh Babu R
    Programme Faculty
    Ph.D. Electrical Engineering, Indian Institute of Science, India

    An Associate Professor in Computational and Data Sciences, IISc. He has held postdoctoral positions at Universities across Europe and worked in industry before taking active interest in academics. His research interests include: Signal Processing, Compression, Machine Vision, Image/Video Processing, Pattern Recognition and Multimedia.

  • Prof. Sriram Ganapathy
    Programme Faculty
    Ph.D. Speech Signal Processing, Johns Hopkins University, USA

    Assistant Professor at the Department of Electrical Engineering, IISc. His research areas include: Signal Processing, Machine Learning, Deep Learning and Neuroscience with applications to Robust Speech Recognition, Speech Enhancement, Speech Coding and Audio Analytics including Biometrics.

  • Prof. Yogesh Simmhan
    Programme Faculty
    Ph.D. Computer Science, Indiana University, USA

    Assistant Professor at the Department of Computational and Data Sciences, IISc. His research interests include: Temporal Graphs: Abstractions, Platforms and Algorithms, Edge Computing and Storage & Scalable Data Management and Analytics for Science and Engineering.

Curriculum and Format

Best Suited for Professionals having basic digital skills


  • Digital Health: Introduction
  • Wearable Devices and Physiological Signal Processing
  • Basics of Machine Learning
  • Deep Learning in Digital Health
  • Deep Learning in Imaging/Vision

Python Refresher Sessions Included


  • 6 months
  • Faculty-led Interactive Live Classes


Hyderabad Live Online Sessions

  • Faculty-led Interactive Sessions
  • Convenient Schedule
  • Direct to Device

View Details

  • Classes on Saturdays & Sundays

What should you expect from this Programme?

  • LearnLearn from Leading IISc Faculty
  • ReinforceReinforce Learning by Applying Concepts
  • NetworkNetwork with Current and Future Digital Health Industry Practitioners
  • CertificateExecutive Programme Certificate by IISc
IISC Certificate


  • Education: Bachelors (four years or equivalent) or Masters in Science/Engineering/Medicine/Pharmacy/Management
  • Work Experience: Relevant experience of 1 year

Enrolment Process

  • Apply for

  • Submit

  • Await

  • Join

Selection for the Programme will be done by IISc and is strictly based on education, work experience and motivation of the participants.

Participant Profile

  • 75%Participants with over
    5 Years of Experience

  • 10%Doctors

  • 20%Top Management Level

  • 18%Women Participants

From Top Organizations

GE Healthcare
The World Wide Pharma
Piramal Swasthya
Dr. Reddy's Laboratories
Boston Scientific

From Indian and Global Locations

Abu Dhabi

Find out why professionals want to join the programme

"As a Sr. Clinical Project Manager at a Healthcare firm, this programme will help me in improving my skills around digital technologies and help me get ready for the future."

"I aspire to become a product manager or lead a healthcare informatics division of a company. I believe my professional experience, combined with expertise built during the programme, will prepare me for a senior role in the organization."

"My acumen of AI, ML and IoT, combined with expertise in Imaging technology, will help me earn a spot in my dream company. And pursuing this programme from a reputed institute like IISc will help me achieve this goal."

"My company will soon foray into numerous dimensions of Healthcare, including Provider/Payer Analytics etc. The capabilities built here will help me contribute to the upcoming project in my organization."

"As an entrepreneur of a deep-tech startup that caters to the need of patients suffering from diabetes, I want to develop in-depth understanding of the digital ecosystem to build right products for my customers."

"My current work revolves around Medical Imaging. Through this programme, I am looking forward to building a sound knowledge of Digital Health technologies to further deploy the same in our upcoming R&D Projects of Medical Imaging."

"With over 3 decades of professional experience in Healthcare industry, I am keen to understand how the Digital Health technologies can revolutionize healthcare delivery mainly in providing quality healthcare in rural areas."

Note: These are edited versions based on the details submitted by various programme applicants.


Details Domestic Participants International Participants
Programme Fee
Early Bird Fee
24-month interest-free EMI
EMI Details

About TalentSprint

TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programs. TalentSprint's hybrid platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow. Funded by Nexus Venture Partners and the NSDC, it is the recipient of several national and international awards including Dream Company To Work For 2017, Best Innovative Technology Organisation In Education Sector Award 2016, World HRD Congress HR Tech Leader Award 2014, CIO Review Company of the Year Award 2014, Silicon India Industry Performer of the Year Award 2014 and others. For more information please visit

Programme Media Coverage

Most Frequently Asked

Digitization is impacting the medical industry like never before. AI and Machine Learning are taking this field to a new level.

Medical professionals and caregivers are being encouraged to utilize datasets to extract clinically relevant information for patient diagnosis, drug development, precision treatment and more. Accordingly Data Science has created profound uses in Healthcare, which early adopters can capitalize in the future.

For medical professionals, the programme enables

  • Enhance your commitment to patient care with precision medicine, personalized treatment and informed care to significantly reduce the death rate and predictable medical outcomes.
  • To collect, structure and process a high volume of data and further make sense of it in gaining a deeper understanding of the human body.
  • Improve diagnostic accuracy and efficiency.

Biotech professionals,

  • Reduce human suffering and disease by sifting through large, complex data sets and understanding the interconnectivity of genetic codes and diseases.
  • Can help generate a unique health and wellness profile based on both genomic and lifestyle data. For instance, if this is tied to a health and wellness app - the user can be alerted on foods or activities that increase their risk of a particular disease, thereby taking precautions at an early stage of detection.
  • Can help create new combinations of pharmaceutical compounds, perform predictive diagnosis, or even create genetically modified seeds.

Pharma professionals

  • Cure diseases by accelerating drug discovery and development process.
  • Optimize and improve the efficacy of clinical trials.
  • Helps spot trends and patterns in data (diseases, how patients respond to treatment of the same) and allows in formulating more targeted medications for patients that share common features

Other benefits

  • Build Electronic Health Records (EHRs) where patients have their own digital records that include demographics, medical history, allergies, laboratory test results etc.
  • Enhance patient engagement: Build smart devices that record every step patient takes, their heart rates, sleeping habits, etc., on a permanent basis. All this vital information can be coupled with other trackable data to identify potential health risks lurking.

Digital Health and Imaging solutions are the biggest beneficiaries of Data Science, AI and Machine Learning. From saving lives to cutting down costs, data science has a huge role to play in the healthcare system. Take a look at some of the important use cases in healthcare.

  1. Improve Diagnostic Accuracy:
    According to the recent research by the National Academies of Sciences, Engineering, and Medicine, about 5 percent of adult patients are misdiagnosed each year in the US continent that causes approximately 10 percent of patient deaths. Targeting this problem, a deep learning startup, Enlitic, built a deep learning algorithm that reads imaging data (such as x-rays, CT scans, etc.), and analyzes it, checks the given results against an extensive database of clinical reports and laboratory studies. This way the company could deliver up to 70 percent more accurate results, 50,000 times faster.
  2. Advanced pharmaceutical research to find cure for cancer
    Being one of the most common and most deadly diseases, cancer has been a regular subject of scientific research. A Boston healthcare startup, BERG Health, reshapes the cancer medication market through extensive use of data science. Using powerful machine learning algorithms the company extracts and analyzes biological samples from over 1,000 patients in one go. The company has developed BPM 31510, the drug, that detects and triggers the natural death of cells damaged by the disease. Thus, the cancer cells can be removed from the human body naturally, without extensive medication and further damage to the patient’s health. While the drug is still being carefully tested, it gives us a clear understanding of the transformation potential that Data Science and deep technologies can provide to the pharmaceutical industry.
  3. Taking the risk out of prescription medicine
    MedAware, aims to eliminate prescription errors. The company claims that it has tools to help hospitals save up to $5.6 million, not to mention the reduced risk of lethal outcomes. A self-learning software system, provided by MedAware, checks all prescriptions against similar cases in the database and informs the doctor when the prescription contains any deviations from the typical treatment plan.
  4. Disease Prevention
    Omada Health is a digital therapeutics company that uses smart devices to create personalized behavior plans and online coaching to help prevent chronic health conditions, such as diabetes, hypertension, and high cholesterol.

And there are many such organizations who have opened up new opportunities using Data Science and Deep Learning for better healthcare.

Healthcare organizations are looking for professionals with Data Science and Deep Learning capabilities. With Data science and AI capabilities one could look into new career opportunities such as:

  1. Healthcare Data Analyst
  2. Advanced Analytics and Insights Strategist
  3. Research Scientist, Health AI
  4. Health Program Analyst
  5. Associate Scientist, Drug Product Development
  6. Senior Medical Imaging Software Engineer

Apart from new opportunities, this programme will help you take data driven decisions in current healthcare roles.