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: Math 161 & Math 162
- Multivariable Calculus: Math 263
- Linear Algebra: Math 212
- Statistics: Stat 203 or Biostatistics: Stat 335
- SAS Programming & Applied Statistics: Stat 303
- One year of Probability & Statistics: Stat 304 & Stat 305
- Applied Regression Analysis: Stat 308
- Statistical Design and Analysis of Experiments: Stat 307 - capstone
- Three electives: any 3-credit class at the 300 level
- 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):
Recent elective courses have included:
- Categorical Data Analysis: Stat 310
- Applied Survival Analysis: Stat 311
- Computer Principles of Modeling and Simulation: Stat 321
- Advanced Biostatistics: Stat 336
- Quantitative Methods in Bioinformatics: Stat 337
- Predictive Analytics: Stat 338
- Nonparametric Statistical Methods: Stat 351
Note: 48 total credit hours
Students must also satisfy all requirements of Loyola university and the college of arts and sciences. Students pursuing this major are excempt from the "Quantitative Knowledge and Inquiry" and "Scientific Knowledge and Inquiry" core requirements.
Curriculum (Prior to Fall 2023)
Requirements
- One year of Single Variable Calculus: Math 161 & Math 162
- Multivariable Calculus: Math 263
- Linear Algebra: Math 212
- Statistics: Stat 203 or Biostatistics: Stat 335
- SAS Programming & Applied Statistics: Stat 303
- One year of Probability & Statistics: Stat 304 & Stat 305
- Applied Regression Analysis: Stat 308
- Statistical Design and Analysis of Experiments: Stat 307 - 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: Stat 321
- Advanced Biostatistics: Stat 336
- Quantitative Methods in Bioinformatics: Stat 337
- Predictive Analytics: Stat 338
- Nonparametric Statistical Methods: Stat 351
Note: 42 total credit hours
