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Statistics Minor Uf

Statistics Minor Uf
Statistics Minor Uf

The University of Florida (UF) offers a Statistics minor that provides students with a solid foundation in statistical theory, methods, and applications. This minor is designed to complement a variety of majors, including mathematics, computer science, engineering, and social sciences. The Statistics minor at UF consists of 15-16 credits of coursework, which includes a combination of required and elective courses.

Required Courses

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Students pursuing the Statistics minor at UF are required to take the following courses: STA 2023: Introduction to Statistics 1, which covers descriptive statistics, probability, and inference; STA 3032: Introduction to Statistics 2, which covers regression analysis, time series, and statistical computing; and STA 4210: Regression Analysis, which covers simple and multiple linear regression, model building, and validation. These courses provide a solid foundation in statistical concepts, methods, and applications.

Elective Courses

Students can choose from a variety of elective courses to complete the Statistics minor. Some examples of elective courses include: STA 4202: Design of Experiments, which covers the principles of experimental design, including randomization, blocking, and factorial designs; STA 4502: Nonparametric Statistics, which covers nonparametric methods for hypothesis testing and confidence intervals; and STA 4852: Introduction to Biostatistics, which covers statistical methods for biomedical research, including clinical trials and survival analysis. These elective courses allow students to specialize in areas of interest and apply statistical concepts to real-world problems.

Course NumberCourse TitleCredits
STA 2023Introduction to Statistics 13
STA 3032Introduction to Statistics 23
STA 4210Regression Analysis3
STA 4202Design of Experiments3
STA 4502Nonparametric Statistics3
STA 4852Introduction to Biostatistics3
Acp National 2025 Istas Sky
💡 The Statistics minor at UF provides students with a strong foundation in statistical theory and methods, as well as practical experience in data analysis and interpretation. This minor can be beneficial for students pursuing careers in data science, biostatistics, and other fields that involve statistical analysis.

Benefits of the Statistics Minor

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The Statistics minor at UF offers several benefits to students. Firstly, it provides a solid foundation in statistical theory and methods, which is essential for careers in data science, biostatistics, and other fields. Secondly, it offers practical experience in data analysis and interpretation, which is critical for applying statistical concepts to real-world problems. Finally, it complements a variety of majors, including mathematics, computer science, engineering, and social sciences, making it a versatile and valuable addition to any undergraduate degree.

Career Opportunities

Graduates with a Statistics minor from UF can pursue a variety of career opportunities. Some examples include: data analyst, which involves analyzing and interpreting complex data sets to inform business decisions; biostatistician, which involves applying statistical methods to biomedical research and public health; and data scientist, which involves using machine learning and statistical techniques to extract insights from large data sets. These careers are in high demand and offer competitive salaries and opportunities for advancement.

  • Data Analyst: $60,000 - $100,000 per year
  • Biostatistician: $70,000 - $120,000 per year
  • Data Scientist: $100,000 - $150,000 per year

What are the requirements for the Statistics minor at UF?

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The Statistics minor at UF requires 15-16 credits of coursework, including STA 2023, STA 3032, STA 4210, and one elective course.

What are the benefits of pursuing a Statistics minor at UF?

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The Statistics minor at UF provides a solid foundation in statistical theory and methods, as well as practical experience in data analysis and interpretation. It also complements a variety of majors and can lead to career opportunities in data science, biostatistics, and other fields.

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