HINF 6400 — Introduction to Health Data Analytics
3 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional
Introduces the field of health data analytics. Topics include understanding stakeholder needs; the variety of types of health data; software tools; as well as case studies from pharma, public health, electronic health records, claims data, and home-monitoring data. Emphasizes the importance of understanding the complexity and potential biases in how health data (direct or indirect) is collected and represented. Presents all data-analytic discussions within a context of health data and stakeholder information needs. Offers students an opportunity to practice presenting the results of analyses. Requires a basic knowledge of statistics.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 34 | 60 | 57% | 13.0 |
| Fall 2024 | 2 | 47 | 55 | 85% | 4.0 |
| Spring 2025 | 1 | 7 | 30 | 23% | 23.0 |
| Fall 2025 | 2 | 35 | 55 | 64% | 10.0 |
| Spring 2026 | 2 | 13 | 40 | 33% | 13.5 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 29% · W 0% · Th 0% · F 0%
Common patterns: async (71% of sections), T (29% of sections) — in patterns, R means Thursday
Professors
Fall
- Daniel Ries (100% of students) · reviews
Spring
- Daniel Ries (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (HINF course descriptions) · Student reviews on RateMyHusky · All HINF courses · Plan it at numap.app