Statistics
Many majors at Loyola require a year of calculus; with the addition of just a few more courses you can earn a Statistics Minor. Majors in biology, business, chemistry, computer science, economics, and psychology are especially encouraged to consider this option, as well as pre-med students looking to distinguish themselves on medical school applications. Students will acquire knowledge of statistical techniques and methods, and the computational skills, such as R and SAS, to apply and implement these methods using real data. Students with statistical training 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.
Minor Requirements
- One year of Calculus (Math 161 & Math 162 or Math 131 & Math 132)
- Statistics (Stat 203) or Biostatistics (Stat 335)
- SAS Programming & Applied Statistics (Stat 303)
- Two electives from:
- Introduction to Probability Theory (Stat 304)
- Introduction to Statistical Inference (Stat 305)
- Stochastic Processes (Stat 306)
- Statistical Design and Analysis of Experiments (Stat 307)
- Applied Regression Analysis (Stat 308)
- Categorical Data Analysis (Stat 310)
- Advanced Biostatistics (Stat 336)
- Quantitative Methods in Bioinformatics (Stat 337)
- Predictive Analytics (Stat 338)
- Computer Principles of Modeling and Simulation (Stat 321)
- Longitudinal Data Analysis and Mixed Modelling (Stat 344)
- Data Science Consulting (Stat 370)
- Special Topics in Statistics (Stat 388)
Note: 18-20 total credit hours
Many majors at Loyola require a year of calculus; with the addition of just a few more courses you can earn a Statistics Minor. Majors in biology, business, chemistry, computer science, economics, and psychology are especially encouraged to consider this option, as well as pre-med students looking to distinguish themselves on medical school applications. Students will acquire knowledge of statistical techniques and methods, and the computational skills, such as R and SAS, to apply and implement these methods using real data. Students with statistical training 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.
Minor Requirements
- One year of Calculus (Math 161 & Math 162 or Math 131 & Math 132)
- Statistics (Stat 203) or Biostatistics (Stat 335)
- SAS Programming & Applied Statistics (Stat 303)
- Two electives from:
- Introduction to Probability Theory (Stat 304)
- Introduction to Statistical Inference (Stat 305)
- Stochastic Processes (Stat 306)
- Statistical Design and Analysis of Experiments (Stat 307)
- Applied Regression Analysis (Stat 308)
- Categorical Data Analysis (Stat 310)
- Advanced Biostatistics (Stat 336)
- Quantitative Methods in Bioinformatics (Stat 337)
- Predictive Analytics (Stat 338)
- Computer Principles of Modeling and Simulation (Stat 321)
- Longitudinal Data Analysis and Mixed Modelling (Stat 344)
- Data Science Consulting (Stat 370)
- Special Topics in Statistics (Stat 388)
Note: 18-20 total credit hours