Upper Division Requirements: Core and Electives
Upper Division Core Courses
| Requirement | UC Berkeley Course | Alternative |
|---|---|---|
| Concepts in Computing with Data | Stat 133 | Stat/Compsci C100 (Principles & Techniques of Data Science) + Stat 33B (Introduction to Advanced Programming in R) |
| Concepts of Probability | Stat 134 | Stat C140 (Probability for Data Science) |
| Concepts of Statistics | Stat 135 |
Upper Division Elective Courses
Statistics majors must choose three Statistics electives from the list below, with at least one being a lab.
| Course | Course Name |
|---|---|
| Data/Stat C102 (lab) | Data, Inference, and Decisions |
| Stat 150 | Stochastic Processes |
| Stat 151a (lab) | Linear Modeling: Theory and Applications |
| Stat 152 (lab) | Sampling Surveys |
| Stat 153 (lab) | Introduction to Time Series |
| Stat 154 (lab) | Modern Statistical Prediction and Machine Learning |
| Stat 155 | Game Theory |
| Stat 156 | Causal Inference |
| Stat 157 | Seminar on Topics in Probability and Statistics |
| Stat 158 (lab) | The Design and Analysis of Experiments |
| Stat 159 (lab) | Reproducible and Collaborative Statistical Data Science |