Statistics, BSLAS
Program Overview
Statistics, BSLAS
for the degree of Bachelor of Science in Liberal Arts & Sciences 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
- Statistics, BSLAS
- Statistics & Computer Science, BSLAS
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.
Course List
| Course List 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
- STAT 107 | Data Science Discovery
- STAT 200 | Statistical Analysis
- STAT 212 | Biostatistics
- Select one from the following: | 3
- MATH 257 | Linear Algebra with Computational Applications
- MATH 415 | Applied Linear Algebra
- MATH 416 | 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
- STAT 385 | Statistics Programming Methods
- STAT 424 | Design of Experiments
- STAT 427 | Statistical Consulting
- STAT 428 | Statistical Computing
- STAT 429 | Time Series Analysis
- STAT 430 | Topics in Applied Statistics
- STAT 431 | Applied Bayesian Analysis
- STAT 432 | Basics of Statistical Learning
- STAT 433 | Stochastic Processes
- STAT 434 | Survival Analysis
- STAT 440 | Statistical Data Management
- STAT 443 | Professional Statistics
- STAT 447 | Data Science Programming Methods
- STAT 448 | Advanced Data Analysis
- STAT 480 | Big Data Analytics
- MATH 444 | Elementary Real Analysis
- MATH 447 | Real Variables Total Hours | 42-44
Sample Sequence
This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.
Students must fulfill their Language Other Than English requirement by successfully completing a fourth level of a language other than English.
First Year
- First Semester | Hours | Second Semester | Hours
- Free elective course | 1 | MATH 231 | 3
- STAT 107 or STAT 200 or STAT 212 | 3 | STAT 385 | 3
- MATH 220 or 221 | 4 | Language Other than English (4th level) | 4
- Language Other than English (3rd level) | 4 | General Education course or Composition I | 3
- Composition I or General Education course | 3 | Free elective course | 3 | 15 | | 16
Second Year
- First Semester | Hours | Second Semester | Hours
- MATH 241 | 4 | MATH 257 or MATH 415 or MATH 416 | 3
- STAT 400 | 4 | STAT 410 | 3
- General Education course | 3 | General Education course | 3
- General Education course | 3 | General Education course | 3
- Free elective course | 3 | Free elective course | 3 | 17 | | 15
Third Year
- First Semester | Hours | Second Semester | Hours
- STAT 425 | 3 | STAT 426 | 3
- Advanced Statistics Elective course | 3 | Advanced Statistics Elective course | 3
- General Education course | 3 | General Education course | 3
- General Education course | 3 | Free elective course | 3
- Free elective course | 3 | Free elective course | 3 | 15 | | 15
Fourth Year
- First Semester | Hours | Second Semester | Hours
- Advanced Statistics Elective course | 3 | General Education course | 3
- General Education course | 3 | Free elective course | 3
- Free elective course | 3 | Free elective course | 3
- Free elective course | 3 | Free elective course | 3
- Free elective course | 3 | | 15 | | 12 Total Hours 120
Learning Outcomes
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.