# Biostatistics Courses If you're interested in pursuing a graduate degree in biostatistics, it would be a good idea to know what you're getting into. I've been in two graduate programs, so I've been able to compare and contrast the material that was offered at my two universities. Feel free to use it as a guide for your own studies or inform your choice of graduate school. My guess is that most universities will teach the same core methodologies, but may differ more on what electives are offered. As the Statistical Garden grows, I will tag specific topics that appeared in these classes. ## Prerequisites These are courses typically required to *apply* to biostatistics programs. - Calculus (derivatives, integrals, series, multivariate stuff) - Linear Algebra - Real Analysis ## Master's Courses These are the core courses I took as a Masters' student: - Probability - R Programming - Biostatistical Methods I (hypothesis testing, linear regression) - #linear-models - Biostatistical Methods II (generalized linear models) - Mathematical Statistics (MS level) - Longitudinal Analysis (GEE, mixed-effects models) - Survival Analysis (Kaplan-Meier, Proportional Hazards) - Capstone Project These were the electives: - Machine Learning - Causal Inference - Bayesian Clinical Trials - Mathematical Statistics (Ph.D level) - Statistical Computing - Data Mining* - SAS* - Randomized Clinical Trials* ## Ph.D These are the core courses I took as a Ph.D student: - Mathematical Statistics - Linear Algebra - Linear Regression - #linear-models, #anova, #diagnostics, #variable-selection - Generalized Linear Models - Longitudinal Analysis - Survival Analysis - Clinical Trials and Experimental Design - #clinical-trials - Journal Club** These were the electives - Bootstrap** - Functional Data Analysis** - Semiparametric Statistics** - Machine Learning* - Observational Studies* - Statistical Programming* ## Remarks \* indicates that the course was offered, but I didn't take it \*\* indicates that the course was a seminar - Some graduate programs do not separate mathematical statistics by MS and Ph.D. Often, they will take the same class. - On a similar note, MS and Ph.D students will often take many of the same classes.