Statistics - Data Science

Overview

The program includes concentrations in in Actuarial Science, Applied Statistics, Data Science, and Mathematical Statistics. All students are expected to master a wide variety of applied statistical, computational, and probabilistic techniques and the theoretical foundations upon which these techniques are based. 

Students are expected to be familiar with recent developments in the field 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, students must satisfy the departmental requirements stated in the following paragraphs.

Program Learning Outcomes

Students graduating the Statistics - Data Science program at California State University East Bay will be able to:

• Apply statistical methodologies, including a) descriptive statistics and graphical displays, b) probability models for uncertainty, stochastic processes, and distribution theory, c) hypothesis testing and confidence intervals, d) ANOVA and regression models (including linear, and multiple linear) and analysis of residuals from models and trends at the Master’s level.

• Derive basic theory underlying these methodologies.

• Model practical problems for solutions using these methodologies.

• Produce relevant computer output using standard statistical software and interpret the results appropriately.