The Master of Science in Biostatistics (MSBST) is a 33-credit hour program consisting of 21 credits in core biostatistics courses and a culminating project, which gives candidates the opportunity to learn consulting and collaboration practices through valuable experiential learning opportunities. The remaining 12 hours are a mix of customizable electives, which includes epidemiology courses and more. Courses are offered in the Fall and Spring semesters each year.
Demonstrate the ability to construct written or oral communication which accurately presents the results and interpretations of a statistical analysis in an easily comprehendible manner to a collaborating health scientist or other vested audience.
Develop a statistical analysis plan which implements biostatistical methodology to address a biomedical research question while remaining aware of the limitations of the methodology.
Apply concepts from the intersection between biostatistics and epidemiology as it applies to the analysis of data.
Develop code for statistical software to wrangle and analyze data sets using appropriate biostatistical methods.
BST 635 - Databases and SAS Programming
BST 675 - Simulation Based Inference for Health Data Science
BST 681 - Linear Regression
BST 682 - Generalized Linear Models
BST 693 - Statistical Practice in Public Health
CPH 712 - Advanced Epidemiology
BST 699 - Advanced Biostatistics Practice
BST 535 - Introduction to R Programming
BST 631 - Design and Analysis of Health Surveys
BST 636 - Data Mining in Public Health
BST 655 - Introduction to Statistical Genetics
BST 661 - Survival Analysis
BST 762 - Longitudinal Data Analysis
BST 663 - Analysis of Categorical Data
BST 664 - Design and Analysis of Clinical Trials
BST 676 - Theory for Biostatistics Methods
BST 698 - Bayesian Modeling in Biostatistics
EPI 717 - Causal Inference
