M.S. in Biostatistics

MS in Biostatistics

Below is the academic and application information on the M.S. in Biostatistics program. If you are considering a career in Biostatistics or in applying to the program, please visit Why Study Biostatistics and Student and Alumni Spotlights for additional information. 

Program Overview

The Master’s program in Biostatistics is an applied one-year program intended for quantitative students seeking training in applied biostatistics. The program emphasizes applications and understanding of statistical concepts rather than theoretical and mathematical principles. The program is meant to be a degree to provide students with a necessary background for applying good biostatistical practices in real-world settings. Students will gain practical skills that can be applied immediately to a variety of data settings, which includes, but is not limited to, the biological life sciences, public health, medical studies, health services research. 

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Competencies

The MS in Biostatistics degree is accredited by the Council on Education for Public Health (CEPH).

Upon completion of the MS in Biostatistics degree, all graduates will be able to:

  • Competencies:
    Apply epidemiologic and statistical methods to the measurement and study of population health and the prevention of infectious and chronic disease
    Describe concepts in probability theory, random variation and commonly used statistical distribution and mathematical statistics
    Develop sample size and power calculations for different study designs including those from clinical trials and observational studies
    Perform a variety of basic and advanced statistical analyses (estimation and inference) including ANOVA, univariate and multiple regression models, generalized linear modeling, multivariate analysis, survival analysis, designs of experiments, various new techniques from statistical learning theory, analyze longitudinal data
    Apply quantitative and reasoning skills as well as content-area knowledge to analyze data from epidemiological, clinical, observational and experimental studies
    Interpret results from explanatory and descriptive data analysis and advanced statistical analyses to draw relevant conclusions from data
    Develop a high level of competency in statistical programming both in R and SAS for both managing and analyzing data
    Communicate effectively by producing summary reports, statistical analysis sections of papers, graphical summaries and tabular summaries of data
    Gain successful practical experience in statistical consulting, including interaction with research faculty in the health sciences
  • Average Program Duration:  1 year
  • Total required credits:  33 credits

The Curriculum

The degree consists of 33 credits covering introductory probability, biostatistics, introductory epidemiology and public health, computing, clinical trials, introductory survival analysis, and introductory mathematical statistics. Enrichment will be provided by a statistical practicum and a seminar course. Prerequisites include introductory calculus, introductory linear algebra, and introductory computing.


For curriculum information and course descriptions, please click on the right. For the application, click below.