Certified Data Scientist – Healthcare Track
Programme Overview
Comprehensive data science programme with machine learning, healthcare use cases, capstone projects and portfolio building.
A rigorous programme covering Python, statistics, machine learning, and data visualisation with a strong emphasis on healthcare applications. Learners build a professional portfolio through capstone projects and gain the analytical depth required for data science roles.
Curriculum Learning Areas
Detailed Curriculum Modules
4 Structured Phases • Hands-on Labs IncludedTarget Career Outcomes
Graduates of this track are actively qualified for the following industry positions:
Frequently Asked Questions
An analytical aptitude is helpful but not mandatory. The programme covers the required statistics and mathematical foundations.
Yes. You will complete capstone projects that form a professional data science portfolio.
You will apply data science techniques to real healthcare use cases, clinical datasets and health-data challenges.
Complementary Technology & Healthcare Programmes
Discover interconnected pathways in clinical analytics, AI, and medical coding aligned with your career goals.
Healthcare Data Analytics Foundation
- 2–4 Months • Online / Hybrid
- Excel, SQL, Python & Power BI
- Clinical analytics portfolio & capstone
Python for Data & Healthcare Automation
- 4–8 Weeks • Foundation
- NumPy, Pandas & Healthcare APIs
- Data pipelines & clinical automation
