UC Berkeley Biostatistics UC Berkeley Biostatistics UC Berkeley UC Berkeley
Curriculum

The curriculum in Biostatistics involves courses from a wide variety of areas including the biological and health sciences. The core to this curriculum includes such topics as:
  • Analysis of mortality and morbidity data
  • Competing risks
  • Survival analysis
  • Design and evaluation of studies of human populations
  • Biological assay and quantal response
  • Statistical methods in clinical trials
  • Epidemic theory
  • Stochastic processes
  • Mathematical modeling
  • Exploratory data analysis
  • Probability theory
  • Statistical inference
  • sampling techniques, multivariate computer methods
  • Nonparametric analysis and computational biology
Courses in the biological sciences, such as genetics, microbiology, and physiology are also part of the curriculum and are basic for an understanding of medical and health problems.  

Biostatistics and Statistics Courses


All courses taught at UC Berkeley are listed and described in the Berkeley Academic Guide (biostatistics courses are the Public Health (PB HLTH) 140 and 240 series of classes, also see courses offered in the Department of Statistics (STAT).

All biostatistics students take courses PB HLTH C240A-C, PB HLTH 252D-E, at least one of PB HLTH C240E or C240F (Statistical Genomics I and II) and STAT 201A and 201B. Some students will have had course work in these subject areas before entering the program and will want to take advantage of more advanced course offerings.



Other areas where Biostatistics students find many relevant courses include...
 
Mathematics: Analysis, differential equations and linear algebra;
Genetics: Human genetics, general genetics and population genetics;
and Computer Science: Software Engineering for Scientific Computing.