Statistics, BSLAS
for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics
Statistics is the science of modeling, summarizing, and analyzing data, and of using mathematics and computing tools to make predictions and decisions in the face of uncertainty. Statistical ideas are applicable in any area involving quantitative measurement and in almost every area of scholarly pursuit. The major, administered by the Department of Statistics, is designed to provide students with an understanding of the concepts of statistical inference and a familiarity with the methods of applied statistical analysis. A major in statistics will prepare students for a career in business, industry, or government, and for further graduate study in statistics or in a related area.
Undergraduate degree programs in Statistics
for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics
Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science, Statistics, and Mathematics courses listed below. A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction.
General education: Students must complete the Campus General Education requirements including the campus general education language requirement.
Minimum required major and supporting course work: Normally equates to 70-72 hours.
Twelve hours of 300- and 400-level in the major must be taken on this campus.
Minimum hours required for graduation: 120 hours.
| Code | Title | Hours |
|---|---|---|
| Introductory and Preparatory Coursework (17-19 hours) | ||
| Calculus through MATH 241 - Calculus III | 11-12 | |
| Select one from the following: | 3-4 | |
| Data Science Discovery | ||
| Statistical Analysis | ||
| Biostatistics | ||
| Select one from the following: | 3 | |
| Linear Algebra with Computational Applications | ||
| Applied Linear Algebra | ||
| Abstract Linear Algebra | ||
| Statistical Core Coursework (13 hours) | ||
| STAT 400 | Statistics and Probability I | 4 |
| STAT 410 | Statistics and Probability II | 3 |
| STAT 425 | Statistical Modeling I | 3 |
| STAT 426 | Statistical Modeling II | 3 |
| Advanced Statistics Electives (12 hours) | ||
| Select four of the following: | 12 | |
| Statistics Programming Methods | ||
| Analysis of Variance | ||
| Statistical Consulting | ||
| Statistical Computing | ||
| Time Series Analysis | ||
| Topics in Applied Statistics | ||
| Applied Bayesian Analysis | ||
| Basics of Statistical Learning | ||
| Stochastic Processes | ||
| Survival Analysis | ||
| Statistical Data Management | ||
| Professional Statistics | ||
| Data Science Programming Methods | ||
| Advanced Data Analysis | ||
| Big Data Analytics | ||
| Elementary Real Analysis | ||
or MATH 447 | Real Variables | |
| Total Hours | 42-44 | |
for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics
Statistics students will:
- Be able to apply mathematical and statistical reasoning to draw valid conclusions from data;
- Communicate the results of a statistical analysis effectively in writing, through visualizations, and orally;
- Be competent in the use of statistical software, in data management, and in writing statistical code;
- Be adept in the use of modern methods of statistical computing, statistical learning, and data science;
- Work effectively as part of a team.