Biostatistics Track
The Biostatistics Track provides students the necessary statistical reasoning and methodology skills to effectively design, assess, and analyze studies of the effectiveness and safety of therapeutic interventions, the characteristics and distribution of diseases in populations, health services research, and programs of health care delivery.
The Biostatistics Track builds on the core curriculum in the MPH program to offer students a practical foundation in biostatistics through courses in important areas such as statistical inference, probability, multivariable models, analysis of longitudinal and time to event (or survival) data, genetics, and statistical computing. This foundation is meant to be a springboard to launching a successful career in clinical research, for both clinical researchers seeking quantitative skills and those seeking careers as biostatisticians.
Apply the necessary quantitative, logical, or computational skills to successfully conduct clinical research.
Translate clinical questions into statistical hypotheses.
Construct and manage datasets for cross-sectional and longitudinal studies using statistical software.
Develop analytical strategies that take account of the specific qualities of data to be analyzed, sources of variation, or assumptions required.
Effectively communicate complicated statistical concepts and results to clinical colleagues or community partners.
Biostatistics Track Requirements and Electives
| Course Number and Title | |
|---|---|
MPH0412 Epidemiology II | 3 |
MPH0801 Introduction to Probability | 3 |
MPH0802 Statistical Computing with SAS | 2 |
MPH0812 Applied Linear Models I | 3 |
MPH0822 Applied Linear Models II | 3 |
MPH0413 Introduction to Epidemiology Data Analysis with R* | 3 |
MPH0420 Epidemiology III* | 3 |
MPH0422 Big Data Epidemiology: Intro to OMICS Research* | 3 |
MPH0624 Outcomes Research Methods* | 3 |
Students may choose other additional electives from across Tracks | variable |
*Elective Options
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