Data Modeling and Analytics for Health, MS
The Master of Science (MS) in Data Modeling and Analytics for Health is designed to prepare graduates with advanced knowledge and applied skills in extracting, managing, and interpreting complex data for decision-making across diverse fields. This interdisciplinary program integrates statistical modeling, data analytics, and database management with practical applications in public health, genomic, and medical data. Students will gain expertise in designing and implementing data models, applying modern analytic techniques, and using tools such as R, SAS, STATA, and SQL to address real-world problems. Emphasis is placed on both the technical and critical thinking skills needed to transform raw data into actionable insights.
The MS Degree in Data Modeling and Analytics for Health requires a total of 31 credits that includes:
Degree Requirements
| Course ID | Title | Credits |
|---|---|---|
| Public Health Foundational Coursework | 9 | |
| Foundations in Public Health (*) | ||
| Biostatistics for Public Health | ||
| Epidemiology for Public Health | ||
| Required Program Courses | 15 | |
| Data Management and Statistical Computing | ||
| Database Management | ||
| Comparative Analysis: Parametric and Non-Parametric Methods | ||
| Data Modeling with Regression | ||
| Supervised and Unsupervised Methods | ||
| Selectives (Choose 2 in consultation with Advisor) | 6 | |
| Time-to-event and Longitudinal Data Analysis | ||
| Mediation, Moderation and Multivariate Methods | ||
| Sampling and Clinical Trials Methods | ||
| Introduction to GIS for Public Health | ||
| Health Systems Policy and Management | ||
| Thesis | ||
| BIOS 9980 | Master's Thesis Research | 1 |
| Total Credit Hours | 31 | |
*Students who receive a BSPH degree can waive SPHL 6020 and replace the 3 credits with an elective course.
MS Thesis (BIOS 9980; 1 credit)
The MS thesis is the culminating experience of the MS in Data Modeling and Analytics for Health program, allowing students to integrate and apply the knowledge and skills acquired throughout their coursework. Working individually, students will engage in a comprehensive, real-world project that addresses a complex data-driven problem drawn from industry, government, healthcare, or academic research.
MS in Data Modeling and Analytics for Health Model Schedule for Fall Entry
| Year 1 | ||
|---|---|---|
| Fall | Credit Hours | |
| SPHL 6050 | Biostatistics for Public Health | 3 |
| BIOS 6290 | Data Management and Statistical Computing | 3 |
| SPHL 6020 | Foundations in Public Health | 3 |
| Credit Hours | 9 | |
| Spring | ||
| BIOS 7000 | Comparative Analysis: Parametric and Non-Parametric Methods | 3 |
| BIOS 7020 | Data Modeling with Regression | 3 |
| BIOS 6220 | Database Management | 3 |
| Credit Hours | 9 | |
| Summer Session | ||
| SPHL 6060 | Epidemiology for Public Health | 3 |
| Credit Hours | 3 | |
| Year 2 | ||
| Fall | ||
| BIOS 7030 | Supervised and Unsupervised Methods | 3 |
| BIOS 9980 | Master's Thesis Research | 1 |
| 2 of the following electives (BIOS 7110, BIOS 7140, BIOS 7130) | 6 | |
| Selective 1 | ||
| Selective 2 | ||
| Credit Hours | 10 | |
| Total Credit Hours | 31 | |
Accelerated MS Program Model Schedule
| Year 1 | ||
|---|---|---|
| Fall | Credit Hours | |
| Fall Semester, Senior Undergraduate | ||
| SPHL 6050 | Biostatistics for Public Health | 3 |
| BIOS 6290 | Data Management and Statistical Computing | 3 |
| Credit Hours | 6 | |
| Spring | ||
| Spring Semester, Senior Undergraduate | ||
| BIOS 7020 | Data Modeling with Regression | 3 |
| Credit Hours | 3 | |
| Summer Session | ||
| SPHL 6060 | Epidemiology for Public Health | 3 |
| SPHL 6020 | Foundations in Public Health (/Elective*) | 3 |
| *If BSPH student | ||
| Credit Hours | 6 | |
| Year 2 | ||
| Fall | ||
| BIOS 7030 | Supervised and Unsupervised Methods | 3 |
| Any 2 of the following courses (BIOS 7140, BIOS 7130, BIOS 7110) | ||
| Selective 1 | 3 | |
| Selective 2 | 3 | |
| Credit Hours | 9 | |
| Spring | ||
| BIOS 9980 | Master's Thesis Research | 1 |
| BIOS 6220 | Database Management | 3 |
| BIOS 7000 | Comparative Analysis: Parametric and Non-Parametric Methods | 3 |
| Credit Hours | 7 | |
| Total Credit Hours | 31 | |
Program String and Field of Study: PHMS_GR, DMAH
To learn more about the program, visit https://sph.tulane.edu/bios/ms-data-modeling.