The Master of Science in Biostatistics (MSBST) is a 33-credit hour program consisting of 21 credits in core biostatistics courses and a capstone, 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 easily and accurately presents results and interpretations of a statistical analysis, 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.
Analyze data and apply concepts from the intersection between biostatistics and epidemiology.
Develop code for statistical software in order to college and analyze data sets using appropriate biostatistical methods.
Learning Objectives and Core Courses
- 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