MSHT3303
HEALTHCARE DATA ANALYTICS
- Department
- Master of Sci Healthcare Tech
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
Moving into data-driven decision-making, this course teaches students how to leverage analytics to improve clinical and operational outcomes. It's essential at this stage as it builds on the knowledge of data management and interoperability.
Syllabi
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Offering history & forecast 2025
2025
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2025 | 1 section | Not offered | Not offered | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Thu, 6:30 PM–9:30 PM JC215 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2025 | Gerald Elysee | Lecture | 1 | 6 of 30 enrolled | 24036 |