MPH in Health Data Analytics
Baylor University's Master of Public Health in Health Data Analytics equips students with the skills to harness health data for decision-making in health systems and public health.
The demand for professionals trained in health data analytics is growing sharply as health systems, insurers, and public health agencies increasingly leverage large-scale data for improving population health, reducing costs, and enhancing quality of care. Organizations are wrestling with high-volume, high-velocity data from electronic health records (EHRs), insurance claims, registries, device-generated sources, and social determinants datasets. To convert that data into actionable insight, they need people who understand both the clinical/public health context and the advanced quantitative, computational, and methodological approaches.
Baylor's MPH in Health Data Analytics offers the education and training to meet these needs. Through applied expertise, the advancement of technical and analytical skills, a public health and systems context, and communication and leadership development, Baylor graduates are prepared to interpret results and translate analytics into system change in light of population health, policy, and ethical frameworks.
For additional information about Baylor’s MPH in Health Data Analytics, please contact Dr. Beth Lanning at Beth_Lanning@baylor.edu.
Career Opportunities
Baylor's MPH in Health Data Analytics will prepare graduates for a broad range of data-driven careers in health systems, public health agencies, and the private sector, including positions such as:
- Health data analyst
- Clinical data scientist
- Biostatistician
- Population health outcomes researcher
- Health informatics specialist
- Quality improvement analyst
Because the Baylor MPH in Health Data Analytics bridges public health and health system data analytics, graduates are especially competitive for roles inside health systems (hospitals, integrated delivery networks), payer organizations, accountable care organizations, as well as consulting firms and health analytics vendors.
Curriculum
Students pursuing the Health Data Analytics concentration complete the MPH core curriculum (15 hours), advanced coursework in epidemiology and biostatistics, and specialized courses in data management, predictive analytics, and machine learning. Applied learning is emphasized throughout the program, with students working directly with electronic health records (EHRs) and administrative claims data (e.g., Medicare, SEER-Medicare, Optum, Baylor Scott & White, Epic Cosmos).
The 42-hour degree plan is completed in 2 years.
MPH Core Courses
| Course Number | Course Name | Credit Hours |
|---|---|---|
| PUBH 5315 | Theoretical Foundations of Public Health | 3 |
| STA 5300 | Statistical Methods | 3 |
| PUBH 5337 | Public Health Concepts in Epidemiology | 3 |
| PUBH 5378 | Policy and Administration in Public Health | 3 |
| ENV 5302 | Foundations of Environmental Health Science | 3 |
| TOTAL CREDIT HOURS | 15 | |
Additional Required Courses
| Course Number | Course Name | Credit Hours |
|---|---|---|
| PUBH 5379 | Research Methods in Public Health | 3 |
| PUBH 5348 | Applied Data Analysis for Epidemiology and Population Health | 3 |
| STA 5303 | Applied Regression Analysis | 3 |
| STA 5376 | Methods in Biostatistics | 3 |
| STA 5384 | Multivariate Statistical Methods | 3 |
| TOTAL CREDIT HOURS | 6 | |
Electives
Students will select two courses from the following:
| Course Number | Course Name | Credit Hours |
|---|---|---|
| PUBH 5338 | Methods in Epidemiology | 3 |
| PUBH 5349 | Geographic Information Systems and Applications in Public Health Research | 3 |
| STA 5320 | Predictive Analytics | 3 |
| STA 5350 | Statistical Machine Learning | 3 |
| STA 5373 | Computational Statistical Methods | 3 |
Culminating & Practice Experiences
| Course Number | Course Name | Credit Hours |
|---|---|---|
| PUBH 5V94 | Public Health Practicum | 3 |
| PUBH 5399 | Public Health Capstone | 3 |
| TOTAL CREDIT HOURS | 6 | |