Four courses: two required foundation courses in statistical modeling (plus a prerequisite of introductory statistics), and two electives (as described below). Concentrators are encouraged to participate in an experiential learning opportunity, such as those available with the Center for Interdisciplinary Research.
1. Required Foundation
Statistics 272: Statistical Modeling
Statistics 316: Advanced Statistical Modeling
In addition, a prerequisite for the required foundation: either AP Statistics, Statistics 110, Statistics 212, Statistics 214, or Economics 263 (or permission of instructor)
Math-Economics double majors can substitute Economics 385: Econometrics for Statistics 316: Advanced Statistical Modeling.
2. Electives (Students choose at least two of the following courses):
Computer Science 125: Computer Science for Scientists and Mathematicians (taken Spring 2013 or later)
Economics 385: Econometrics
Mathematics 262: Probability Theory (strongly recommended for mathematics majors)
Psychology 230: Research Methods in Psychology
Sociology/Anthropology 371: Foundations of Social Science Research: Quantitative Methods
Statistics 270: Intermediate Statistics for Social Science Research
Statistics 282: Topics in Statistics
Statistics 302: Biostatistics: Design and Analysis
Statistics 322: Statistical Theory (strongly recommended for mathematics majors)
3. An Experiential Learning Component (Optional)
Each concentrator is encouraged to participate in experientially-based research or employment that takes statistical methods beyond the traditional classroom. This can occur on or off campus. Prior approval by the director of Statistics Program and a letter after the fact from a supervisor are required to earn credit. Excellent opportunities for experiential learning in statistics are available through academic internships (Statistics 294), the mathematics practicum (Mathematics 390), and the Center for Interdisciplinary Research (CIR) (Mathematics, Statistics, Computer Science 389). As a CIR fellow, students can work during the academic year or summer with faculty on research from a variety of disciplines.
Note: For students considering graduate school in statistics or a closely related field, the following courses are recommended: Mathematics 126 or 128: Calculus II, Mathematics 220: Elementary Linear Algebra, Mathematics 226: Multivariable Calculus, Mathematics 230: Differential Equations I, Mathematics 242: Modern Computational Mathematics, Mathematics 244 and 344: Real Analysis I and II, Computer Science 251-252: Software Design and Implementation.
Statistics 110, Statistics 212, and Economics 263 all provide an introduction to statistics, and students should not take more than one; they can all serve as a prerequisite for further courses, although Economics 263 is geared toward majors in economics. Statistics 214 is also an introductory course that assumes no background in statistics, but it can also be taken by students coming from Statistics 110, Economics 263 or AP Statistics who would like a transition into the statistics concentration.