MSHT3305
AI & MACHINE LEARN IN HLTHCARE
- Department
- Master of Sci Healthcare Tech
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
With a solid foundation in data analytics and security, this course introduces students to advanced technologies like AI and machine learning, emphasizing how these tools are transforming healthcare delivery through predictive analytics, diagnostics, and personalized care.
Syllabi
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Offering history & forecast 2026
2026
| 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. |
| 2026 | Not offered | 1 section | Not offered | No data for this term |
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- Wed, 6:30 PM–9:30 PM BP326 2026
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Gerald Elysee | Lecture | 1 | 3 of 30 enrolled | 34855 |