Understand
Know how health data works.
Learn how EHRs, FHIR, HL7, ICD-10 and SNOMED record and exchange patient information.
Campus AI · For BSc Life Sciences students
Healthcare Data & AI. Data and AI skills for a healthtech career.
Rooman's Healthcare Data & AI is a 45-hour, 9-week online course for BSc Life Sciences, Biology, Biotechnology and Nursing students. You learn health data standards such as EHR and FHIR, Python for healthcare data, healthcare analytics, privacy rules and clinical research workflows, then analyse a public healthcare dataset in a capstone and earn the Rooman Campus AI Certificate.
45 hours10 modulesWeekly live cohortCapstone project
What you'll be able to do
Add data skills to your life-sciences degree.
Clinical research, healthcare analytics, telemedicine and healthtech product teams all work with health data. This course teaches life-sciences students the practical data and AI skills that connect their degree to that work, from health data standards and Python analysis to privacy rules and clinical research workflows.
Analyse
Turn health data into insights.
Clean healthcare data with Python and Pandas, and run cohort, outcomes and utilisation analyses.
Work responsibly
Handle patient data with care.
Learn PHI handling under HIPAA, India's DPDP Act, and the data side of clinical trials, from CRFs to data management.
Skills covered
- Healthtech landscape India
- Medical data systems and standards
- Python for healthcare data
- AI in clinical diagnostics
- Healthcare analytics
- Telemedicine systems
- HIPAA and India healthcare privacy
- Clinical research workflows
Who it's for
Built for life-sciences students.
The course is for BSc Life Sciences, Biology and Biotechnology students, and BSc Nursing students looking for non-clinical careers, who want to work in healthcare data, clinical research or healthtech. Recent graduates are welcome too.
Who takes this course
- BSc Life Sciences & Biology
- BSc Biotechnology
- BSc Nursing, non-clinical careers
- Aspiring health-data analysts
Entry requirements.
- A current life-sciences or other science student, or a recent graduate
- The Sciences Foundation, or an introduction to Python
- Completion of AI for ALL
New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.
45 hours · 10 modules
A curriculum built from health data standards to your own analysis.
The modules move from how health data is recorded and protected to analysing it with Python, and end with a capstone on a public dataset.
01Healthtech landscape India3 hrs
A map of India's healthtech sub-sectors and the skills their job posts ask for.
Topics covered
- Healthtech sub-sectors: analytics, clinical research, telemedicine, products
- Reading healthtech job posts: the skills and tools they ask for
- Where data and AI skills fit in each sub-sector
You produce: a map of healthtech sub-sectors and the skills they need.
02Medical data systems and standards5 hrs
How health data is recorded and exchanged: EHRs, FHIR, HL7, ICD-10 and SNOMED.
Topics covered
- Electronic health records (EHRs): what they hold and how they are structured
- FHIR and HL7: how health systems exchange data
- Coding systems: ICD-10 for diagnoses and SNOMED for clinical terms
- Reading a sample FHIR record
You produce: an annotated sample FHIR record.
03Python for healthcare data6 hrs
Use Pandas to clean and reshape healthcare data, with its own quirks of codes, dates and gaps.
Topics covered
- Loading healthcare data from CSV files and EHR data formats
- Cleaning codes, dates and missing values
- Reshaping patient-level and visit-level data
You produce: a cleaned healthcare dataset ready for analysis.
04AI in clinical diagnostics5 hrs
A survey of where AI is being used in radiology, pathology and other diagnostic areas, and its limits.
Topics covered
- Where AI is being used in radiology and pathology
- How diagnostic AI tools are built and evaluated
- Limits and bias, and why clinicians stay responsible for decisions
- Reading a research paper on a diagnostic AI tool
You produce: a short briefing on how AI is used in one diagnostic area.
05Healthcare analytics6 hrs
Analyse patient groups, outcomes and the use of services with Python.
Topics covered
- Cohort analysis: defining and comparing patient groups
- Outcomes analysis: measuring the results of care
- Utilisation analysis: how services and resources are used
- Medical data visualisation for clear reporting
You produce: a cohort and utilisation analysis with charts.
06Telemedicine systems4 hrs
How telehealth platforms work and how they connect to other health systems.
Topics covered
- How telehealth platforms work: consultations, records and follow-ups
- Integration patterns: connecting telehealth to EHRs with FHIR
- Data flows and privacy points in a telehealth service
You produce: a data-flow diagram for a telehealth service.
07HIPAA and India healthcare privacy5 hrs
The privacy rules for patient data: PHI under HIPAA, business associate agreements and India's DPDP Act.
Topics covered
- Protected health information (PHI) and how to handle it
- HIPAA and business associate agreement (BAA) basics
- India's DPDP Act and what it means for health data
- De-identifying data before you analyse or share it
You produce: a privacy checklist for a healthcare data project.
08Clinical research workflows4 hrs
How clinical trials are designed and how their data is collected and managed.
Topics covered
- An introduction to clinical trial design
- Case report forms (CRFs): what they capture and why
- Clinical data management basics: collection, cleaning and queries
You produce: a draft case report form (CRF) for a sample study.
09Career paths in healthtech3 hrs
What clinical research associates, healthcare data analysts and healthtech product managers do.
Topics covered
- Clinical research associate: the role and skills
- Healthcare data analyst: the role and skills
- Healthtech product manager: the role and skills
- Presenting your course projects to employers
You produce: a plan for the healthtech role you want.
10Capstone4 hrs
Analyse a publicly available healthcare dataset and produce insights on a clinical or operational question.
Topics covered
- Choosing a publicly available healthcare dataset
- Framing a clinical or operational question
- Cleaning, analysing and visualising the data
- Writing up your insights and their limits
You produce: your capstone analysis and insights report.
Tools covered
The tools you'll work with.
Every tool is used hands-on in cohort labs, and the capstone uses a publicly available healthcare dataset.
| Tool group | Tools | What you use them for |
|---|---|---|
| Programming | Python, Pandas | Clean, reshape and analyse healthcare data |
| Data standards | EHR data formats, FHIR | Read and structure health records |
| Visualisation | Medical data visualisation | Chart cohorts, outcomes and service use clearly |
| AI assistant | ChatGPT | Write and debug code, explain standards and draft reports |
Capstone
Public data. Real questions.
Take a publicly available healthcare dataset and produce a clean analytical deliverable, with insights relevant to a clinical or operational question.
Along the way you complete hands-on lab exercises in every module.
Your capstone portfolio.
- An annotated sample FHIR record
- A cleaned healthcare dataset
- A cohort and utilisation analysis
- A privacy checklist for patient data
- Your capstone: a healthcare dataset analysis
Your credential
Rooman Campus AI Certificate.
A skill certificate with a completion record. It is not a degree. It records the course you completed and the capstone you built.
Your capstone portfolio shows what you can do with AI, which is what employers, clients and interviewers ask to see.
What's included
Everything you need to finish.
- Certified industry-expert trainers
- Weekly live cohort sessions online
- AI-powered LMS with 1-year access
- Hands-on lab exercises and a capstone project
- Résumé, LinkedIn and portfolio workshop
- Help with internship matching
Before you enrol
Questions life-sciences students ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
The course is for BSc Life Sciences, Biology and Biotechnology students, and BSc Nursing students looking for non-clinical careers, who want to work in healthcare data, clinical research or healthtech. Recent graduates are welcome too.
Which AI course should a life-sciences student take?
Start with AI for ALL, then the Sciences Foundation if you are new to Python. Healthcare Data & AI then teaches health data standards, Python analysis, privacy rules and clinical research workflows for healthcare data, clinical research and healthtech careers.
Is this for college students only?
Mostly, yes. Recent graduates and career-switchers are welcome too.
What do I need before I start?
You need to have completed AI for ALL, plus either the Sciences Foundation or an introduction to Python. The Python module focuses on healthcare data, so it helps to know the basics before you start.
Will I learn to diagnose patients with AI?
No. The course is about data, not clinical decisions. One module surveys where AI is being used in radiology, pathology and other diagnostic areas so you understand the field, but your own work is in data analysis, documentation and research workflows.
Is it suitable for BSc Nursing students?
Yes, if you are looking for a non-clinical career. BSc Nursing students who want to move into healthcare data, clinical research or healthtech are part of the audience.
Does it cover HIPAA and India's privacy law?
Yes. One module covers PHI handling and business associate agreement basics under HIPAA, and India's DPDP Act as it applies to healthcare.
How much time does it take?
45 hours over 9 weeks, combining self-paced lessons with one live cohort session each week.
Is it online or classroom?
It is taught online, with self-paced lessons and a weekly live cohort session, so it fits around college or work. Ask a counsellor about classroom batches.
Will I get hands-on with real tools?
Yes. Every tool listed on this page is used hands-on in cohort labs.
What is the capstone?
Take a publicly available healthcare dataset and produce a clean analytical deliverable, with insights relevant to a clinical or operational question.
What can I do after this course?
You can go further with science data in Bioinformatics & Computational Biology or Data Analytics & AI Foundations, or move towards AI engineering with AI Foundation, Tier 1 of Rooman's Build AI track (120 hours).
Is this course AICTE or UGC approved?
It is a skill course from Rooman, not a UGC-approved degree. You receive the Rooman Campus AI Certificate and a completion record.
Will my college recognise this?
Rooman's partner colleges may count it as a skill credit. Check with your college's placement officer.
Does the course include placement support?
Yes: a résumé and LinkedIn workshop, and help with internship matching. It is not one of Rooman's job-guaranteed programmes.
Which certificate will I receive?
The Rooman Campus AI Certificate, with a record of the course you completed.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
Can my college run this course for a whole batch?
Yes. Colleges can bring Campus AI courses to their students through Rooman's university partnerships. Placement or training officers can call 080 6945 1000.
Related courses.
All Sciences courses
70 hrs11 modulesSciences FoundationPython, data analysis and AI tools for science students, and the base for Sciences specialisations.
60 hrs10 modulesBioinformatics & Computational BiologyWhere biology meets data science.
60 hrs10 modulesData Analytics & AI FoundationsSQL, Python, Power BI and machine learning for data analyst roles.For collegesBring Campus AI to your college?Placement and training officers can run this course for a whole batch through Rooman's university partnerships.Talk to usNext step
Start with a conversation.
Tell us your course and year, and a counsellor will call you with batch dates, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.