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Statistics Requirements

The information here may reflect program requirements for future academic years. If you are a current student and would like to see the current or prior years’ requirements for this program, please see the University Catalog.

Requirements of the Statistics Major (52 Credits)

Statistics Coursework: 16 credits

  • Introductory Statistics (choose one)

    • DATA152 Inferential Statistics with R

    • MATH138 Introduction to Applied Statistics

    • PSYC253 Research Methods and Analysis 2

    • ECON230 Economics Statistics

    • AP Statistics (Score of 4 or 5 on the Advanced Placement exam)

  • 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

Approved Electives: 8 credits

  • Any elective with STAT prefix

  • MATH376 Probability and Computing

  • BIOL342 Biostatistics

  • BIOL347 Bioinformatics

  • DATA380 Environmental Data Science

  • 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.

Requirements for the Statistics Minor (24 semester hours)

Area 1: Proficiency in R (4)

  • DATA151 Introduction to Data Science (4)

Area 2: Theoretic Basis for Statistics Distribution (4)

  • DATA152 Inferential Statistics or

  • MATH138 Applied Statistics or

  • AP Statistics or

  • PSYC253 Research Methods & Analysis 2 or

  • ECON230 Economic Statistics

Area 3: Modeling Distribution (4)

Area 4: Calculus Distribution (4)

  • MATH152 Calculus II or

  • MATH249 Multivariate Calculus or

  • AP Calculus BC, score of 5

Area 5: Probability Theory Distribution (4)

  • MATH266 Probability and Statistics (4) or

  • MATH376 Probability and Computing (topic dependent)

Area 6: Electives (4)

  • MATH256 Differential Equations with Linear Algebra (4) or

  • MATH352 Linear Algebra (4) or

  • DATA380 Environmental Data Science 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

Statistics