AI will create 7 lakh jobs for healthcare sector by 2030
Career Outlook: Top Digital Health Jobs to Watch Out
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.
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 https://www.iisc.ac.in
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 http://cce.iisc.ac.in
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.
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.
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.
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.
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.
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.
Best Suited for Professionals having basic digital skills
Best Suited for Professionals with Medical & Pharma background
Selection for the Programme will be done by IISc and is strictly based on education, work experience and motivation of the participants.
in Digital Health & Imaging
in Digital Health
|Early Bird Scholarship for Cohort 1||₹72,000||₹20,000|
|Payable Fee||₹1,68,000 + GST||₹1,00,000 + GST|
|24-month interest-free EMI
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 www.talentsprint.com
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
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.
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:
Apart from new opportunities, this programme will help you take data driven decisions in current healthcare roles.