MSBST Master of Science in Biostatistics Academics & Curriculum
Overview
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.
Learning Objectives and Core Courses
Learning Objectives
- 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
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
Electives
- 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
