Competencies

Master of Science in Biostatistics

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

  • 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