University of Colorado Denver

Master of Public Health - Applied Biostatistics

The Master of Public Health concentration in applied biostatistics trains students to apply analytic methods and statistical reasoning to characterize, investigate, and address problems in public health and medicine.  Students are trained to use statistical measures and good information management practices to collect, manage, protect, analyze, interpret and present health data.

In addition to a wide variety of exciting applications, rewarding career opportunities are available in local, state, and federal health agencies, health and medical centers, and research institutes. Concentration coursework includes: biostatistical methods, data analysis, and managing public health data.  Elective coursework includes: clinical trials, statistical consulting, and analytic epidemiology.

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Master of Science - Biostatistics

The MS in Biostatistics exposes students to a wide variety of studies and research interests including longitudinal data, statistical genetics and genomics, clinical trials, infectious disease, and cancer research.

The program targets students with strong skills and training in mathematics with the interest to apply math in health care and biological settings.  Students pursuing the MS look forward to rewarding careers in academia, research, public health and private industry.  Potential positions include analysis and design of health studies, clinical trials, drug development and public health studies.

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PhD - Biostatistics

The Doctor of Philosophy in biostatistics prepares students for advanced study and research in biostatistics.  The program targets students with strong skills and training in mathematics and statistics who are interested in applications in health care and biological settings.

PhD biostatisticians typically function as independent investigators or key collaborators and co-investigators with researchers in other areas.  In this function they take the lead in designing studies and analyses.  Many continue to teach and carry out research developing new statistical methods.  Areas of faculty research include analysis of longitudinal data, clinical trials, statistical methods in genetics and genomics, causal modeling, treatment of missing data and imputation, and power and sample size analysis.

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