Healthcare Data Science
SPS Certificate website: https://sps.northwestern.edu/program-search/certificates.php
Healthcare Data Science and AI, Advanced Graduate Certificate
The continued explosive growth of health data has created great opportunities to improve the quality and delivery of patient care and a great need for professionals with the knowledge and skills to retrieve, interpret, and act on that data. Occupational data across several job categories show continued projected growth in healthcare data science-related jobs at anywhere from 10% to nearly 20% over the next 10 years, well above national averages.
This graduate certificate provides foundational data science skills (R and Python programming, statistical analysis, data modeling) that are increasingly essential for many industries, but also adds exposure to and practice with the unique complexities of health data and the care that must be taken in handling them. Courses in statistical analysis and predictive modeling provide hands-on experience analyzing real health data sets, which are often messy and unstructured, while courses in data visualization and healthcare data science leadership emphasize how to effectively communicate analytics insights to stakeholders across an organization.
Healthcare Data Science, Graduate Certificate
The continued explosive growth of health data has created great opportunities to improve the quality and delivery of patient care and a great need for professionals with the knowledge and skills to retrieve, interpret, and act on that data. Occupational data across several job categories show continued projected growth in healthcare data science-related jobs at anywhere from 10% to nearly 20% over the next 10 years, well above national averages.
This graduate certificate provides foundational data science skills (R and Python programming, statistical analysis, data modeling) that are increasingly essential for many industries, but also adds exposure to and practice with the unique complexities of health data and the care that must be taken in handling them. Courses in statistical analysis and predictive modeling provide hands-on experience analyzing real health data sets, which are often messy and unstructured, while courses in data visualization and healthcare data science leadership emphasize how to effectively communicate analytics insights to stakeholders across an organization.
| Course | Title |
|---|---|
| MHDS 401-DL | Foundation of Healthcare Programming with Python and R |
| MHDS 403-DL | Introduction to U.S. Healthcare, Digital Health & Analytics |
| MHDS 405-DL | Data Literacy and Analytics in Healthcare |
| MHDS 407-DL | Data Governance, AI Ethics & Cybersecurity |
| MHDS 409-DL | Foundations of Health Statistics and Data Exploration |
| MHDS 410-DL | Predictive Modeling and Statistical Inference in Healthcare |
| MHDS 412-DL | Feature Engineering and Unstructured Data |
| MHDS 422-DL | Practical Machine Learning and AI in Healthcare |
| MHDS 426-DL | Applications of AI in Healthcare |
| MHDS 427-DL | Enabling AI: Cloud Platforms, Data Architecture, and Scalable Systems |
| MHDS 428-DL | Digital Twin Intelligence in Healthcare: Foundations, Agents, and Strategy |
| MHDS 455-DL | Data Visualization and Storytelling |
| MHDS 480-DL | Healthcare Strategy, Operations, and AI Leadership |
| MHDS 498-DL | Capstone |