# Statistics BS

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 (4 units)
- MATH 151: Calculus II (4 units)
- MATH 170: Discrete Mathematics (4 units)
- MATH 250: Multivariate Calculus (4 units)
- MATH 265: Differential Equations and Linear Algebra (4 units)
- CST 231: Problm-Solving/Programng (4 units)
- STAT 210: Statistical Computing Tools (1 units)

Complete **all** of the following upper division core courses:

- MATH 320: Applied Probability and Statistics (4 units)
- MATH 300: Major Proseminar (4 units)
- MATH 362S: Service Learning for Mathematics Consultants (5 units)
- MATH 400: Capstone Seminar (4 units)
- STAT 410: Generalized Linear Models (4 units)
- STAT 420: Statistical Theory I (4 units)
- STAT 421: Statistical Theory II (4 units)

Complete **two** of the following Statistics elective courses:

- STAT 310: Data Visualization (3 units)
- STAT 320: Nonparametric Statistics (4 units)
- STAT 325: Experimental Design and Analysis (4 units)
- STAT 330: Sampling Design and Analysis (4 units)
- STAT 335: Data Simulation and Analysis (4 units)
- STAT 440: Bayesian Inference (4 units)

Complete **two** of the following Mathematics/Statistics elective courses:

- MATH 374: Mathematical Modeling (4 units)
- MATH 375: Numerical Analysis for Mathematics and Statistics (4 units)
- MATH 322: Foundations of Modern Math (4 units)
- MATH 330: Advanced Linear Algebra (4 units)
- MATH 420: Mathematical Analysis I (4 units)
- MATH 421: Mathematical Analysis II (4 units)
- STAT 310: Data Visualization (3 units)
- STAT 320: Nonparametric Statistics (4 units)
- STAT 325: Experimental Design and Analysis (4 units)
- STAT 330: Sampling Design and Analysis (4 units)
- STAT 335: Data Simulation and Analysis (4 units)
- STAT 440: Bayesian Inference (4 units)

## 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.