24 monthsProgramme duration
15 Apr, 2026Application Deadline
AugStarting Month
Programme overview
Main Subject
Mathematics
Degree
MPH
Study Level
Masters
Study Mode
Blended
The Master of Public Health in Applied Biostatistics in Temple’s Christopher M. Barnett College of Public Health prepares students for careers in public health research and practice, as well as biomedical or pharmaceutical research. The curriculum emphasizes commonly used and advanced statistical techniques to effectively address public health concerns and answer pressing research questions. The Applied Biostatistics MPH will prepare you as a public health professional with expertise in
- study design and appropriate data analyses to accurately quantify and assess population-based, health-related outcomes;
- the application of modern statistical computing software, such as SAS and R, and statistical methods for large and complex data sets in public health and medicine;
- data management of health-related cross-sectional, experimental, longitudinal and survey data; and
- the proficient interpretation and presentation of results to various audiences.
Applied biostatistics involves the thoughtful application of statistical reasoning and techniques to appropriately analyze data, which is ultimately used to advance scientific inquiry and answer practical questions in public health and other health-related fields. Students in the Applied Biostatistics MPH program learn to formulate testable hypotheses and analyze publicly available, nationally representative data. Students will become proficient in handling complex data to monitor public health trends and services, and informing policy decisions.
Our graduates are prepared to work in a wide range of settings, including academic institutions; health systems; local, state and federal health departments; and pharmaceutical companies. Graduates may pursue careers as applied biostatisticians, clinical/research data specialists, data analysts, data managers, drug safety specialists, quantitative healthcare research scientists or SAS/statistical programmers, among other positions.
Programme overview
Main Subject
Mathematics
Degree
MPH
Study Level
Masters
Study Mode
Blended
The Master of Public Health in Applied Biostatistics in Temple’s Christopher M. Barnett College of Public Health prepares students for careers in public health research and practice, as well as biomedical or pharmaceutical research. The curriculum emphasizes commonly used and advanced statistical techniques to effectively address public health concerns and answer pressing research questions. The Applied Biostatistics MPH will prepare you as a public health professional with expertise in
- study design and appropriate data analyses to accurately quantify and assess population-based, health-related outcomes;
- the application of modern statistical computing software, such as SAS and R, and statistical methods for large and complex data sets in public health and medicine;
- data management of health-related cross-sectional, experimental, longitudinal and survey data; and
- the proficient interpretation and presentation of results to various audiences.
Applied biostatistics involves the thoughtful application of statistical reasoning and techniques to appropriately analyze data, which is ultimately used to advance scientific inquiry and answer practical questions in public health and other health-related fields. Students in the Applied Biostatistics MPH program learn to formulate testable hypotheses and analyze publicly available, nationally representative data. Students will become proficient in handling complex data to monitor public health trends and services, and informing policy decisions.
Our graduates are prepared to work in a wide range of settings, including academic institutions; health systems; local, state and federal health departments; and pharmaceutical companies. Graduates may pursue careers as applied biostatisticians, clinical/research data specialists, data analysts, data managers, drug safety specialists, quantitative healthcare research scientists or SAS/statistical programmers, among other positions.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Scholarships
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