Program Information
The M.S. in Biostatistics in the College of Public Health and Health Professions requires a minimum of 36 post-baccalaureate credit hours. The program is designed to facilitate students’ development of a strong theoretical foundation in biostatistics, broad-based understanding of biostatistical methods, and expertise in a cognate field. A typical student will be enrolled full-time for two years. Upon successful completion of the program, graduates will be awarded an M.S. degree in biostatistics.
The principal goal of the M.S. program is to prepare highly qualified individuals for future Ph.D. training and for careers in biostatistics practice. This training is conducted in the innovative and interdisciplinary public health culture of the College, and it will produce graduates who will help address the shortage of biostatisticians. We expect our graduates to be highly competitive in three primary settings: academic university-based settings, industry, and federal agencies that involve research and/or public health practice.
The core biostatistics courses for the M.S. degree are PHC 6937 Biostatistical Methods I, PHC 6937 Biostatistical Methods II, STA 6326 Introduction to Theoretical Statistics I, STA 6327 Introduction to Theoretical Statistics II, STA 6177 Survival Analysis and Clinical Trials, and PHC 6001 Principles of Epidemiology in Public Health. In addition, students must complete three credits from the Public Health Core, selected from PHC 6102 Introduction to Public Health Administrative Systems, PHC 6313 Environmental Health Concepts in Public Health, and PHC 6410 Psychological Behavoiral, and Social Issues in Public Health. Twelve additional credits in biostatistics/statistics electives and a three credit consulting course are also required.
Learning Outcomes:
All graduates of the program will be expected to be able to:
Interpret and apply basic biostatistical methods using state-of-the art software in a way that meets the goals of a collaborating health scientist.
Support successful collaborations with investigators in new quantitative fields.
Interpret biostatistical analyses while remaining aware of limitations.
Compete for positions in three primary settings: academic (either in a PhD program or as an academic research assistant), industry, and federal agencies that involve research and/or public health practice.
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