BS in Statistics
Students earning a B.S. in Statistics will acquire knowledge of a broad range of statistical techniques and methods, an understanding of the mathematical underpinnings of these methods and techniques, and the computational skills, such as R and SAS, to apply and implement these methods using real data. Statistics majors are in high demand in industry in a wide array of fields such as medical research, technology companies, pharmaceuticals, insurance, finance, government, genetics, public health, sports, and epidemiology to name a few.
Curriculum (Effective Fall 2023)
Requirements
- One year of Single Variable Calculus: &
- Multivariable Calculus:
- Linear Algebra:
- Statistics: or Biostatistics:
- SAS Programming & Applied Statistics:
- One year of Probability & Statistics: &
- Applied Regression Analysis:
- Statistical Design and Analysis of Experiments: - capstone
- Select three of the following:      
STAT 306 Intro to Stochastic Processes STAT 310 Categorical Data Analysis     STAT 311 Applied Survival Analysis     STAT 321 Computational Aspects of Modeling and Simulation      STAT 336 Advanced Biostatistics  STAT 337 Quantitative Methods in Bioinformatics    STAT 338 Predictive Analytics  STAT 344 Longitudinal Data Analysis and Mixed Modelling    STAT 351 Nonparametric Statistical Methods   STAT 370 Data Science Consulting STAT 388 Topics (must be approved)
- Science requirement:
- Choose 2 from the following list (6 credits):
- BIOL 101 General Biology I (3 cr)
- BIOL 102 General Biology II (3 cr)
- CHEM 160 Chemical Structure and Properties (3 cr)
- CHEM 180 Chemical Reactivity (3 cr)
- PHYS 121 College Physics I (3 cr)
- PHYS 122 College Physics II (3 cr)
- ANTH 101 Human Origins (3 cr)
- ENVS 101 The Scientific Basis of Environmental Issues (3 cr)
- Choose 2 from the following list (6 credits):
Note: 48 total credit hours
Curriculum (Prior to Fall 2023)
Requirements
- One year of Single Variable Calculus: &
- Multivariable Calculus:
- Linear Algebra:
- Statistics: or Biostatistics:
- SAS Programming & Applied Statistics:
- One year of Probability & Statistics: &
- Applied Regression Analysis:
- Statistical Design and Analysis of Experiments: - capstone
- Three electives: any 3-credit class at the 300 level
Recent elective courses have included:
- Categorical Data Analysis: Stat 310
- Applied Survival Analysis: Stat 311
- Computer Principles of Modeling and Simulation:
- Advanced Biostatistics:
- Quantitative Methods in Bioinformatics:
- Predictive Analytics: Stat 338
- Nonparametric Statistical Methods: Stat 351
Note: 42 total credit hours
Students earning a B.S. in Statistics will acquire knowledge of a broad range of statistical techniques and methods, an understanding of the mathematical underpinnings of these methods and techniques, and the computational skills, such as R and SAS, to apply and implement these methods using real data. Statistics majors are in high demand in industry in a wide array of fields such as medical research, technology companies, pharmaceuticals, insurance, finance, government, genetics, public health, sports, and epidemiology to name a few.
Curriculum (Effective Fall 2023)
Requirements
- One year of Single Variable Calculus: &
- Multivariable Calculus:
- Linear Algebra:
- Statistics: or Biostatistics:
- SAS Programming & Applied Statistics:
- One year of Probability & Statistics: &
- Applied Regression Analysis:
- Statistical Design and Analysis of Experiments: - capstone
- Select three of the following:      
STAT 306 Intro to Stochastic Processes STAT 310 Categorical Data Analysis     STAT 311 Applied Survival Analysis     STAT 321 Computational Aspects of Modeling and Simulation      STAT 336 Advanced Biostatistics  STAT 337 Quantitative Methods in Bioinformatics    STAT 338 Predictive Analytics  STAT 344 Longitudinal Data Analysis and Mixed Modelling    STAT 351 Nonparametric Statistical Methods   STAT 370 Data Science Consulting STAT 388 Topics (must be approved)
- Science requirement:
- Choose 2 from the following list (6 credits):
- BIOL 101 General Biology I (3 cr)
- BIOL 102 General Biology II (3 cr)
- CHEM 160 Chemical Structure and Properties (3 cr)
- CHEM 180 Chemical Reactivity (3 cr)
- PHYS 121 College Physics I (3 cr)
- PHYS 122 College Physics II (3 cr)
- ANTH 101 Human Origins (3 cr)
- ENVS 101 The Scientific Basis of Environmental Issues (3 cr)
- Choose 2 from the following list (6 credits):
Note: 48 total credit hours
Curriculum (Prior to Fall 2023)
Requirements
- One year of Single Variable Calculus: &
- Multivariable Calculus:
- Linear Algebra:
- Statistics: or Biostatistics:
- SAS Programming & Applied Statistics:
- One year of Probability & Statistics: &
- Applied Regression Analysis:
- Statistical Design and Analysis of Experiments: - capstone
- Three electives: any 3-credit class at the 300 level
Recent elective courses have included:
- Categorical Data Analysis: Stat 310
- Applied Survival Analysis: Stat 311
- Computer Principles of Modeling and Simulation:
- Advanced Biostatistics:
- Quantitative Methods in Bioinformatics:
- Predictive Analytics: Stat 338
- Nonparametric Statistical Methods: Stat 351
Note: 42 total credit hours