Biostatistics

Overview

The Biostatistics program at California State University East Bay includes curriculum designed to prepare students to work in the pharmaceutical and biotech industries. All students are expected to master a wide variety of applied statistical and probabilistic techniques and the theoretical foundations on which these techniques rest. They are expected to be familiar with recent developments and to be able to use the statistical literature to learn new techniques and theories throughout their professional careers. In addition to the general requirements stated elsewhere in this catalog, a student must satisfy the departmental requirements stated in the following paragraphs.

Program Learning Outcomes

Students graduating with an M.S. in Biostatistics from Cal State East Bay will be able to:

• Apply biostatistical methodology to data to (a) produce descriptive statistics, probability models, and visual displays (b) select probability distributions to implement statistical inference (estimation and hypothesis testing), and (c) critique biostatistical models for uncertainty, likelihood, modeling and error analysis at the Master’s level.

• Evaluate practical problems arising in biostatistics to select and formulate models for solutions using these methodologies.

• Select and generate biostatistical software output and evaluate the results appropriately.

• Derive basic theory, explain biostatistical concepts, and clearly communicate analytical results to others.