M.S. in Biostatistics

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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.

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:
    Describe the core disciplines of public health and how they apply to improving population health
    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 distributions 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, design 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 epidemiologic, 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 with 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 the data
    Interact with different public health, health care and medical professionals to address statistical aspects of their research studies as a part of statistical consultation
    Recognize potential ethical issues and implement the concepts of ethical conduct of research
  • 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.

  • Core Courses (33 credits)
    BST 605 Statistical Principals of Clinical Trials (3 credits)
    BST 610 Introduction to Statistical Collaboration (3 credits)
    BST 625 Survey of Statistical Computing (3 credits)
    BST 650 Topics in Biostatistical Research (2 credits)
    BST 692 Case Studies in Biostatistics (3 credits)
    EPH 600 Introduction to Public Health (3 credits)
    EPH 621 Fundamentals of Epidemiology (3 credits)
    EPH 703 Advanced Statistical Methods I (4 credits)
    EPH 706 Advanced Statistical Methods II (3 credits)
    EPH 751 Survival Analysis in Clinical Trials (3 credits)
    MTH 624 Introduction to Probability Theory (3 credits)

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