Statistics Coursework: 16 credits
Introductory Statistics (choose one)
STAT341: Mathematical Statistics 1
STAT342: Mathematical Statistics 2
STAT441: Advanced Linear Regression Models
Data Science Coursework: 8 credits
DATA151: Introduction to Data Science (with R)
Models and Machine Learning (choose one)
Mathematics Coursework: 20 credits
MATH150: Differential Calculus with Precalculus
MATH152: Calculus 2
MATH249: Multivariable Calculus
MATH251W: Foundations of Advanced Mathematics
MATH352: Linear Algebra
Approved Electives: 8 credits
Any elective with STAT prefix
MATH376: Probability and Computing
BIOL342: Biostatistics
BIOL347: Bioinformatics
PHEAL214: Public Health and Epidemiology
ECON350: Introduction to Econometrics and Forecasting
DATA299: Topic Dependent (requires advisor approval)
DATA252 or CS475, the one not used in the Models requirement, above.
As a complement to the Data Science program, which focuses on the applications of data analysis, the goal of the statistics program is to acknowledge and train students in statistics as a rigorous field of mathematical sciences. The statistics programs target different learning objectives that allow students to build a deep appreciation and knowledge of the theoretical foundations that construct statistical methods and reasoning. The distribution format has been built into this program to allow for flexibility for students to customize student experience.
48 credits
Some Introductory Statistics course:
24 credits
Distributions give students more flexibility and make it more attractive to a diverse population of students. More classes can be added to this in the future as they are developed.
Willamette University