STA_BA - Bachelor of Arts
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About This Program
About this Program
- College: Liberal Arts and Sciences
- Degrees: Bachelor of Arts | Bachelor of Science
- Credits for Degree: 120
- Contact: Email
- More Info
To graduate with this major, students must complete all university, college, and major requirements.
The mission of the Department of Statistics is to provide its students with a fundamental understanding of statistical reasoning and methodology, to train them to apply this knowledge to the collection and analysis of data, and to prepare them for careers in a highly technological society in which science and decision-making are increasingly driven by a rapid expansion in the quantity and availability of data.
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Email | 352.392.1941 (tel) | 352.392.5175 (fax)
P.O. Box 118545
102 GRIFFIN-FLOYD HALL
GAINESVILLE FL 32611-8545
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Curriculum
About This Program
Statistics majors learn how to design studies that effectively address the purpose of a research project and how to properly analyze the data collected in such studies. Core courses cover statistical methods applicable in a wide variety of settings (e.g., regression and design of experiments) as well as the conceptual and mathematical foundations of statistics. Other courses explore specific data types often encountered in practical settings. Statistics majors have the option to minor in actuarial science, a profession involving the statistical and financial practices of insurance.
Students who wish to major in Statistics must consult a department advisor early in their programs.
Requirements for the Major
The BA in Statistics requires a minimum of 12 credits of foundation coursework, 21 credits of core coursework, and 9 credits of major electives for a minimum of 42 credits in statistics and related coursework. It is important that the prerequisites for each course are met before the course is attempted. The BA is intended for students who wish to pursue a career in the field of statistics or to teach statistics at the secondary-school level, but who do not currently contemplate graduate study in statistics.
Students must receive minimum grades of C within two attempts (including withdrawals) in every required core course and in every course counted toward the 9-credit major elective requirement. Students cannot retake foundation, core, or statistics elective courses after earning a minimum grade of C. It is important that the prerequisites for each course are met before the course is attempted.
A minimum GPA of 2.0 must be achieved on all attempts of core and major elective course. The grades from all attempts to satisfy foundation and core requirements will be used to compute the minimum GPA.
A minimum of 18 credits of major coursework must be taken at UF, including a minimum of 12 credits of core coursework.
Required Foundation Coursework
| Code | Title | Credits |
|---|---|---|
| Select one: | 12 | |
| Analytic Geometry and Calculus 1 and Analytic Geometry and Calculus 2 and Analytic Geometry and Calculus 3 | ||
| Honors Calculus 1 and Honors Calculus 2 and Honors Calculus 3 | ||
| Core Courses | ||
| STA 3100 | Programming With Data in R | 3 |
| STA 4210 | Regression Analysis 1 | 3 |
| STA 4211 | Design of Experiments 1,2,4 | 3 |
| STA 4321 | Introduction to Probability 1 | 3 |
| STA 4322 | Introduction to Statistics Theory 1,3 | 3 |
| STA 4504 | Categorical Data Analysis | 3 |
| Select one: | 3-4 | |
| Computational Linear Algebra | ||
| Linear Algebra 1 | ||
| Statistics BA Major Electives | ||
| Select two: | 6 | |
| Sample Survey Design | ||
| Statistical Learning in R | ||
| Statistical Computing in R | ||
| Nonparametric Statistical Methods | ||
| Multivariate Statistical Methods | ||
| Introduction to Survival Analysis | ||
| Stochastic Processes | ||
or MAP 4102 | Probability Theory and Stochastic Processes 2 | |
| Introduction to Time Series and Forecasting | ||
| Special Topics | ||
| Overseas Studies | ||
| Statistics BA Math Elective | ||
| Select one: | 3-4 | |
| Numerical Analysis: a Computational Approach | ||
| Operations Research 1 | ||
| Introduction to Real Analysis 1 | ||
| Real Analysis and Advanced Calculus 1 | ||
| Functions of a Complex Variable | ||
| Introduction to Numerical Analysis | ||
| Linear Algebra 1 | ||
| Linear Algebra for Data Science | ||
| Elements of Set Theory | ||
| Total Credits | 42-44 | |