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.
Major
48 credits
From CAS MATH:
- MATH 150
- MATH 152
- MATH 249
- MATH 352
FROM SCIS:
- DATA 151: Introduction to Data Science (with R)
- STAT 341: Mathematical Statistics I
- STAT 342: Mathematical Statistics II
- STAT 441: Advanced Linear Regression Models
- DATA 252: Models and Machine Learning in R OR CS 475: Machine Learning in Python
From Both (CAS and SCIS):
Some Introductory Statistics course:
- DATA 152
- MATH 138
- PSYCH 253
- ECON 230
- AP STAT (Score of 5)
8 credits of approved electives
- Any elective with STAT prefix
- MATH 376: Probability and Computing
- BIOL 342
- BIOL 347: Bioinformatics
- PHEAL 214: Public Health and Epidemiology
- ECON 350: Introduction to Econometrics and Forecasting
- DATA 299: Topic Dependent
Minor
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.
- Proficiency in R
- DATA 151: Introduction to Data Science in R
- Introductory Statistics – 4 credits (choose one)
- DATA 152: Inferential Statistics
- MATH 138: Applied Statistics
- PSYCH 253
- ECON 230
- AP Statistics
- Modeling Distribution – 4 credits (choose one)
- DATA 252: Models and Machine Learning with R
- CS 475: Machine Learning with Python
- Calculus Distribution – 4 credits (choose one)
- MATH 152 - Calc II
- MATH 249 - Multivariate Calculus
- AP Calc BC 5
- Probability Theory Distribution (Calculus Based) – 4 credits (choose one)
- STAT 341: Mathematical Statistics I
- MATH 376: Probability and Computing (topic dependent)
- Elective – 4 credits (choose one)
- MATH 256 Differential Equations with Linear Algebra
- MATH 352 Linear Algebra
- ECON 350 Introduction to Econometrics and Forecasting
- BIOL 342 Biostatistics (1)
- BIOL 347 Bioinformatics (1)