Diploma in Healthcare Data Science

The Diploma in Healthcare Data Science is a 10-month, non-credit, project-based online learning programme designed in alignment with the principles of the National Education Policy (NEP) 2020, offered by the School of Biotechnology and Bioinformatics, D.Y. Patil Deemed to be University, Navi Mumbai in academic collaboration with TechMedBuddy. Designed at the intersection of medical Informatics, technology, and innovation, this program is tailored to meet the growing demand for skilled professionals in the rapidly evolving landscape of digital healthcare.

This interdisciplinary program blends foundational medical and life sciences knowledge with cutting-edge advancements in data science, computational biology, and digital health technologies. Through a carefully curated curriculum and hands-on learning approach, participants will gain deep insights into the application of Artificial Intelligence (AI), machine learning, and data-driven decision-making in the healthcare ecosystem.

Whether you’re a healthcare professional aiming to upskill, a life sciences graduate looking to transition into digital health, or a tech enthusiast passionate about healthcare innovation, this program empowers you to become a leader in the future of AI-driven, patient-centric care.

Graduates of this program will be well-equipped to take on roles in clinical informatics, health tech product development, research and development, and healthcare analytics across hospitals, biotech companies, startups, and global healthcare organizations.

For more information: visit www.techmedbuddy.com

The primary objectives of the programme are to:

• Provide interdisciplinary knowledge integrating healthcare and data
• Develop proficiency in analytical tools and programming languages used in biomedical data
• Equip students with skills to handle, analyze, and interpret complex healthcare
• Foster an understanding of ethical and regulatory aspects of digital health
• Prepare learners for careers in research, healthtech, pharma, and clinical

Upon successful completion of the programme, students will be able to:

• Apply statistical, computational, and machine learning techniques to healthcare
• Analyze omics, clinical, and imaging datasets for biomedical
• Design and implement AI-based solutions for healthcare
• Navigate regulatory frameworks and ethical considerations in health data
• Contribute to the development and deployment of digital health technologies and

Students pursuing MBBS, BDS, BHMS, BAMS, BPT.

Students who have completed minimum 2 years of UG studies in B.Pharm or B.Sc in any Biological Sciences or BE/ B.Tech in Biotechnology, Bioinformatics, Computer Science or any related disciplines

10 Months

Graduates of the programme will be prepared for diverse roles in the following domains:

• Health Data Analyst / Clinical Data Scientist
• Bioinformatics Specialist
• AI/ML Engineer in Healthcare
• Digital Health Product Developer
• Research Associate in Translational Medicine
• Regulatory & Compliance Analyst
• Personalized Medicine Analyst

They may find employment opportunities in hospitals, pharmaceutical companies, digital health startups, research institutes, public health organizations, and government health departments.