Jun 08, 2023  
Catalog 2019-2020 
Catalog 2019-2020 [ARCHIVED CATALOG]

Statistics, B.S.

Return to {$returnto_text} Return to: Programs and Degrees

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

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, use multiple programming languages, answer research questions through appropriate software coding, and perform basic statistical computation.

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 target audience. Students demonstrate ethical reasoning, global awareness, and civic and intercultural engagement though statistical practice in ways that promote sustainability, and social justice and equity across diverse communities.

Return to {$returnto_text} Return to: Programs and Degrees