Biostatistics, MS

Required Courses

• BIOST 2025 - BIOSTATISTICS SEMINAR
• BIOST 2081 - MATHEMATICAL METHODS FOR STATISTICS
• BIOST 2131 - FOUNDATIONS OF STATISTICAL THEORY
• BIOST 2141 - BIOSTATISTICAL METHODS
• BIOST 2142 - APPLIED REGRESSION ANALYSIS
• BIOST 2143 - LONGITUDINAL AND CLUSTERED DATA ANALYSIS
• BIOST 2150 - APPLIED SURVIVAL ANALYSIS: METHODS AND PRACTICE
• BIOST 2173 - SAS FOR DATA MANAGEMENT AND ANALYSIS
• BIOST 2179 - BIOSTATISTICS CONSULTING PRACTICUM
• EPIDEM 2110 - PRINCIPLES OF EPIDEMIOLOGY
• PUBHLT 2011 - ESSENTIALS OF PUBLIC HEALTH
• PUBHLT 2022 - THE DEAN’S PUBLIC HEALTH GRAND ROUNDS (two terms)
• BIOST 2021 - SPECIAL STUDIES (faculty-guided thesis research: two terms required; 1st term one credit, 2nd term 2 credits)

• OR

• BIOST 2022 - CAPSTONE PREPARATION

• FOLLOWED BY (in the next term)

• BIOST 2099 - CAPSTONE

Elective Courses

At Least 8 Credits

In situations where a student’s special interests or needs indicate an alternative course is more appropriate it may be substituted with the permission of the student’s academic advisor. BIOST 2025 cannot be used to fulfill elective credits.          

• BIOST 2067 - APPLIED META-ANALYSIS
• BIOST 2080 - ADVANCED STATISTICAL LEARNING
• BIOST 2145 - INTRODUCTION TO HEALTH DATA SCIENCE
• BIOST 2151 - BAYESIAN DATA SCIENCE
• BIOST 2154 - STATISTICAL METHODS FOR OMICS DATA
• BIOST 2155 - INTRODUCTORY STATISTICAL LEARNING FOR HEALTH SCIENCES
• BIOST 2162 - CLINICAL TRIALS: METHODS AND PRACTICE
• BIOST 2165 - STATISTICAL EVALUATION OF BIOMARKERS AND CLASSIFICATION TOOLS
• BIOST 2168 - INTRODUCTION TO CAUSAL INFERENCE
• BIOST 2174 - ADVANCED R COMPUTING

Total Credits Required for Degree: 40