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The Master of Public Health in Applied Biostatistics (MPH-AB) program is designed for students wanting a broad education in the field of public health, augmented with specialization in biostatistics and informatics. In addition to coursework in four other core areas of public health, students learn a variety of commonly used statistical methods as well as their application in public health and medical research. Coursework, a practicum, and a capstone project provide experience with design, collection, management, analysis, interpretation and presentation of health data.
The Applied Biostatistics concentration in the MPH program (MPH/AB) targets students interested in a broader exposure to areas of public health, with specialization in biostatistics and analysis. The concentration is flexiable and requires 15-24 credits of biostatistics courses, but does not require the statistical theory sequence BIOS 6631/32. The MPH/AB does not prepare students for PhD work in Biostatistics.
Graduates look forward to rewarding careers in local, state and federal agencies, health and medical centers, pharmaceutical companies and research institutions, working in areas such as heart and lung disease, cancer, dental health, genetics, and infectious diseases, among others. This degree targets public health workers and researchers wishing to strengthen their analytic skills, and is particularly useful in combination with a previous research degree or experience. Students with strong skills, training and interest in mathematics and a desire to work primarily as biostatisticians in health care and biological settings should consider the MS in Biostatistics program.
NOTE: Students considering an MPH in Applied Biostatistics may take either the more advanced sequence (Biostatistical Methods BIOS 6611 or BIOS 6612) or the introductory sequence (Applied Biostatistics BIOS 6601 or BIOS 6602). BIOS 6611 requires the following prerequisites: Calculus 1 and 2 with at least a B; a previous course in applied probability and statistics with at least a B; coursework or experience with a statistical package (e.g. SAS, R, Stata, SPSS); linear algebra is highly recommended and will be used extensively in the course.