**Curriculum Topics for Undergraduate Degrees in Statistical Science**

The approach to teaching the following topics should:

• Emphasize real data and authentic applications

• Present data in a context that is both meaningful to students and indicative of the science behind the data

• Include experience with statistical computing

• Encourage synthesis of theory, methods, and applications

• Offer frequent opportunities to develop communication skills

**Statistical Topics**

• Statistical theory (e.g., distributions of random variables, point and interval estimation, hypothesis testing, Bayesian methods)

• Graphical data analysis methods

• Statistical modeling (e.g., simple, multiple, and logistic regression; categorical data; diagnostics; data mining)

• Design of studies (e.g., random assignment, replication, blocking, analysis of variance, fixed and random effects, diagnostics in experiments; random sampling, stratification in sample surveys; data exploration in observational studies)

**Mathematical Topics**

• Calculus (integration and differentiation) through multivariable calculus

• Applied linear algebra (emphasis on matrix manipulations, linear transformations, projections in Euclidean space, eigenvalue/eigenvector decomposition and singular-value decomposition)

**Probability**

• Emphasis on connections between concepts and their applications in statistics

**Computational Topics**

• Programming concepts; database concepts and technology

• Professional statistical software appropriate for a variety of tasks

**Nonmathematical Topics**

• Effective technical writing and presentations

• Teamwork and collaboration

• Planning for data collection

• Data management

**Electives** - There are many electives that might be included in a statistics major. As resources will vary among institutions, the identification of what will be offered is left to the discretion of individual units.

**Practice** - When possible, the undergraduate experience should include an internship, senior-level "capstone" course, consulting experience, or a combination of these. These and other opportunities to practice statistics should be included in a variety of venues in an undergraduate program.