Statistics, B.S.

Statistics is the study of data collection, analysis, interpretation, and presentation. Statisticians summarize and visualize data in meaningful ways, test hypotheses, estimate unknown quantities in the population, and predict unknown outcomes based on available data.

The Statistics B.S. prepares you (i) to summarize and visualize data, (ii) to analyze data to address research objectives, (iii) to communicate results clearly and effectively in both oral and written forms, (iv) to understand the role of the profession in service of society, and (v) to work in interdisciplinary environments.

Our program is designed for two paths. The first path is for workforce immediately after the B.S. degree such as industry (e.g., business, pharmaceuticals, actuarial science) and federal agencies. The second path is to pursue graduate degrees (M.S., M.A., or Ph.D.) in statistics, biostatistics, data science, and related fields requiring the statistical skills.

Required Courses

Complete all of the following lower division core courses:
MATH 150 - Calculus I Units: 4 *
MATH 151 - Calculus II Units: 4
MATH 170 - Discrete Mathematics Units: 4
MATH 250 - Multivariate Calculus Units: 4
MATH 265 - Differential Equations and Linear Algebra Units: 4
*Note: MATH 150 requires prior preparation for calculus (e.g. to a level provided by successful completion of MATH 130)
Complete one of the following courses:
CST 231 - Problm-Solving/Programng Units: 4
CST 319 - Computing Across the Disciplines Units: 3
Complete one of the following courses:
STAT 210 - Statistical Computing with R Units: 1
STAT 211 - Statistical Computing with SAS Units: 1
Complete all of the following upper division core courses:
MATH 300 - Major Proseminar Units: 4
MATH 320 - Applied Probability and Statistics Units: 4
MATH 362S - Service Learning for Mathematics and Statistics Consultants Units: 5
MATH 400 - Capstone Seminar Units: 4
STAT 410 - Generalized Linear Models Units: 4
STAT 420 - Statistical Theory I Units: 4
STAT 421 - Statistical Theory II Units: 4
Complete two of the following Statistics elective courses:
STAT 310 - Data Visualization Units: 3
STAT 320 - Nonparametric Statistics Units: 4
STAT 325 - Experimental Design and Analysis Units: 4
STAT 330 - Sampling Design and Analysis Units: 4
STAT 335 - Data Simulation and Analysis Units: 4
STAT 440 - Bayesian Inference Units: 4
Complete two of the following Mathematics/Statistics elective courses:
MATH 322 - Foundations of Modern Math Units: 4
MATH 330 - Advanced Linear Algebra Units: 4
MATH 374 - Mathematical Modeling Units: 4
MATH 375 - Numerical Analysis for Mathematics and Statistics Units: 4
MATH 420 - Mathematical Analysis I Units: 4
MATH 421 - Mathematical Analysis II Units: 4
STAT 310 - Data Visualization
Units: 3
STAT 320 - Nonparametric Statistics
Units: 4
STAT 325 - Experimental Design and Analysis
Units: 4
STAT 330 - Sampling Design and Analysis
Units: 4
STAT 335 - Data Simulation and Analysis
Units: 4
STAT 440 - Bayesian Inference
Units: 4

Learning Outcomes

MLO 1: Mathematical and Statistical Theory

Based on mathematical foundations, students demonstrate the ability (i) to interpret theoretical statistical statements, (ii) to communicate statistical ideas using mathematical language, and (iii) to address research questions using statistical theory.

MLO 2: Statistical Methods

Students demonstrate the ability to follow the statistical investigative process to formulate an answerable research question, collect, manipulate, and explore data, and analyze and conduct inference via statistical models.

MLO 3: Data Manipulation and Computation

Students demonstrate the ability to manage and manipulate data and perform statistical computations using appropriate programming languages or software in order to answer a research question.

MLO 4: Statistical Practice and Communication

Students demonstrate the ability to communicate with collaborators effectively and respectfully. Students are able to adjust their use of language depending on the collaborators’ backgrounds, to practice ethics (particularly for human-subject data), to understand (or reformulate) a research question (or a project goal), and to implement appropriate statistical methods. Students are able to produce an informative report, both written and oral, which is easily readable by the target audience. Students engage in ethical reasoning and public action through their profession to promote social justice and equity.