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.
DATA151 Introduction to Data Science (4)
DATA152 Inferential Statistics or
MATH138 Applied Statistics or
AP Statistics
PSYC253 Research Methods & Analysis 2 or
ECON230 Economic Statistics
DATA252 Models and Machine Learning with R
STAT 441 Advanced Linear Models or
CS475 Machine Learning with Python
MATH256 Differential Equations with Linear Algebra (4) or
MATH352 Linear Algebra (4) or
ECON350 Introduction to Econometrics and Forecasting (4) or
BIOL342 Biostatistics (4) or
BIOL347 Bioinformatics (4)
Any subsequent class that would satisfy the Modeling Distribution or the Probability Theory Distribution (see above.)
Willamette University