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AI Master’s · Become a Healthcare AI Scientist

Master's Program in AI for Healthcare & Bioinformatics

Transform patient care with algorithmic precision. Accelerate medical innovation with AI. Build compliant diagnostic models and genomic analysis tools.

Duration
10 Weeks
Delivery
Online
Typical salary (Canada)
$90K–$150K CAD
Coming soonNot open for enrollment yet. See the programs open now →
Download the curriculum PDF
Why it matters

Skills employers are hiring for now

  • Global demand for this AI specialization is unlocking unprecedented medical breakthroughs.
  • Companies struggle to find professionals capable of navigating complex healthcare data regulations.
  • A fully STEM-aligned curriculum integrating biology, medicine, and deep learning.
  • Immigrants benefit from job-ready skills in a universally expanding healthcare technology sector.
  • Real-world industry use cases improving diagnostics and patient outcomes.
What makes it different

Built for real enterprise work

1

Hands-on projects using real (anonymized) patient data sets.

2

Real enterprise use cases from modern hospital IT systems.

3

Portfolio-ready work demonstrating clinical efficacy.

4

Interview preparation for highly regulated biotech and healthtech roles.

5

Cloud deployment of secure, HIPAA-compliant architectures.

6

Intensive governance and compliance awareness for PHIPA/PIPEDA/HIPAA.

Curriculum

10 modules, fundamentals to production

Tap a module to see what you learn in it.

Download the curriculum PDFOpens in a new tab
Module 01 of 10

Foundations of AI in Healthcare

Day 1 — Healthcare AI
  • Introduction to AI in healthcare systems
  • Overview of hospitals, pharmacies, and clinical data systems
  • Electronic Health Records (EHR) fundamentals
  • Medical data types (clinical, imaging, genomics)
  • Healthcare AI opportunities in North America
  • Case Study: Mayo Clinic AI diagnostics systems
  • Case Study: Cleveland Clinic AI patient monitoring
Day 2 — Healthcare Data
  • Healthcare data pipelines
  • Clinical data integration
  • Medical data cleaning and preprocessing
  • Healthcare interoperability standards (HL7, FHIR)
  • Data privacy regulations in healthcare
  • Case Study: Epic hospital EHR data systems
  • Case Study: Kaiser Permanente data infrastructure
Day 3 — AI Use Cases in
  • AI-powered disease prediction
  • Medical decision support systems
  • AI triage assistants
  • Remote patient monitoring
  • AI-powered hospital operations
  • Case Study: AI stroke detection systems
  • Case Study: hospital readmission prediction models
Your career after this program

What you'll become, and what it can do for your pay

You can become
Healthcare AI SpecialistClinical Data ScientistBioinformatics Engineer
🍁 In Canada
$90K–$150K
CAD / year
🇺🇸 In the US
$120K–$170K
USD / year
The typical move
Health data analyst or lab professional$65K–$90K CAD
Healthcare AI Specialist$90K–$150K CAD

About 55% higher at the middle of the range

How it moves your career
  • Use AI to give clinicians time back and patients better answers, with privacy built in.
  • Work with clinical and genomic data the right way: safe, explainable and compliant.
  • Move from analysis into AI roles in hospitals, health-tech and life sciences.
  • Meaningful work in a sector that keeps hiring through every economic cycle.
Why it matters now

Health systems are adopting AI to reduce waitlists and paperwork, and need people who understand both the technology and patient-data rules.

Estimates from 2025–26 job postings (base salary). Typical ranges, not a guarantee: pay depends on your experience, city, employer and the job market.

Career outcomes

Where graduates go

Medical AI ResearcherHealth Data ScientistBioinformatics AI Engineer
Typical salary range
$90K–$150K CAD
Production capstone

Deploy a healthcare diagnostic AI model

Build a deep learning architecture that accurately diagnoses conditions from medical imaging, packaged within a secure, privacy-compliant deployment framework.

Portfolio-grade project

Admission

Bachelor’s degree
Or equivalent professional experience.
Some programming
Basic Python or backend knowledge helps.
Open worldwide
International students and career changers welcome.

Questions

Is this program suitable for beginners?+

Some programming helps, but the curriculum takes committed professionals from the foundations to enterprise deployment, step by step.

Is it fully online?+

Yes. It is delivered 100% online with live, practitioner-led sessions, so you can join from anywhere.

Do I get career support?+

Yes. You build a portfolio-grade capstone, practise technical interviews and get guidance on the roles you are targeting.

What jobs can I get after graduating?+

Graduates move into roles such as Medical AI Researcher, Health Data Scientist, Bioinformatics AI Engineer.

Ready to become a Healthcare AI Scientist?

This program is coming soon. Enrollment is not open yet.

See programs open now