Public Health Data Science, MPH
The MPH in Public Health Data Science will prepare graduates to utilize data-driven insights to improve healthcare outcomes, optimize operations, and drive innovations in the field of Public Health. Students will apply principles of foundational statistics, mathematics, and computer science elements of data science to analyze and generate information from public health databases. We aim to address complex public health problems at local, state, national, and global levels by leveraging the principles of data science.
Upon completion of the program the graduate will be able to:
- Apply statistical and epidemiological principles to analyze public health databases and prepare data summaries.
- Apply data analysis and machine learning principles to solve complex public health problems at local, state, national, and global levels.
- Apply data science principles, quantitative and methodological innovations to solve complex public health problems and promote innovation in the field of Public Health.
| Code | Title | Credits |
|---|---|---|
| PH-601 | Public Health Systems and Practice | 3 |
| PH-605 | Behavioral and Social Aspects of Public Health | 3 |
| PH-640 | Environmental and Occupational Health | 3 |
| PH-650 | Health Policy and Management | 3 |
| PH-660 | Principles of Biostatistics | 3 |
| PH-690 | Global Health | 3 |
| PH-705 | Principles of Epidemiology | 3 |
| PH-770 | Research Methods in Public Health | 3 |
| PH-785 | Culminating Experience in Public Health | 3 |
| CS-628 | Data Science | 3 |
| CS-630 | Database Systems | 3 |
| CS-632 | Data Structures and Algorithms in Public Health | 3 |
| CS-642 | Data Visualization in Public Health | 3 |
| CS-655 | Machine Learning | 3 |
| KG-604 | Graduate Research & Critical Analysis | 3 |
| Total Credits | 45 | |
| Semester 1 | Credits | |
|---|---|---|
| PH-601 | Public Health Systems and Practice | 3 |
| PH-605 | Behavioral and Social Aspects of Public Health | 3 |
| PH-660 | Principles of Biostatistics | 3 |
| KG-604 | Graduate Research & Critical Analysis | 3 |
| Credits | 12 | |
| Semester 2 | ||
| PH-640 | Environmental and Occupational Health | 3 |
| PH-650 | Health Policy and Management | 3 |
| PH-705 | Principles of Epidemiology | 3 |
| CS-628 | Data Science | 3 |
| Credits | 12 | |
| Semester 3 | ||
| PH-690 | Global Health | 3 |
| PH-770 | Research Methods in Public Health | 3 |
| CS-630 | Database Systems | 3 |
| CS-632 | Data Structures and Algorithms in Public Health | 3 |
| Credits | 12 | |
| Semester 4 | ||
| PH-785 | Culminating Experience in Public Health | 3 |
| CS-642 | Data Visualization in Public Health | 3 |
| CS-655 | Machine Learning | 3 |
| Credits | 9 | |
| Total Credits | 45 | |