Health Care Administration
Master of Statistics (MS) programs require courses in probability, mathematical statistics and applied statistics (e.g., design of experiments, survey sampling, etc.). Professional competence in statistics requires a background in mathematics—including at least multivariate calculus, linear algebra and a year of calculus-based probability and statistics.2 Most students pursuing a career in academia and research typically pursue a PhD. However, a master's degree can help students to enlarge their toolkit, so they can get into a better PhD program in fields such as economics, for example.
Statistics provides the reasoning and methods for producing and understanding data. Statisticians are specialists, but statistics demands they be generalists, too. There are a variety of fields that statisticians pursue, such as experiment and analysis of data in environmental studies, medicine, market research and governments surveys, to name a few.1 Statistics uses mathematics, but it is not abstract or isolated. Statistics uses modern computing to organize and analyze data, and statisticians command specialized tools. However, the emphasis is on the data to be understood and the problem to be solved rather than on computing for its own sake.2 Statisticians need the ability to communicate well with others in order to solve the practical problems they will work on with other professionals.1