The courses in statistics form a coherent Masters-level course in statistics, covering theoretical statistics, applied statistics and applications. You may take all of them, or a subset of them. Core courses are Modern Statistical Methods and Topics in Statistical Theory in the Michaelmas Term, and Statistical Learning in Practice in the Lent Term.
Please read the introduction and pre-requisites for the Statistics subject area as well as the detailed course descriptions below.
| Title | Examinable | Term | Number of Lectures |
|---|---|---|---|
| Modern Statistical Methods | Part III Examinable | Michaelmas | 24 |
| Causal Inference | Part III Examinable | Michaelmas | 16 |
| Topics in Statistical Theory | Part III Examinable | Michaelmas | 16 |
| Statistics in Medical Practice (Statistics in Medicine) | Part III Examinable | Michaelmas | 12 |
| Bayesian Modelling and Computation | Part III Examinable | Lent | 24 |
| Functional Data Analysis | Part III Examinable | Lent | 16 |
| Bayesian Non-linear Statistical Inverse Problems | Graduate Non-Examinable | Lent | 16 |
| Analysis of Survival Data (Statistics in Medicine) | Part III Examinable | Lent | 12 |
| Statistical Learning in Practice | Part III Examinable | Lent | 12 + 12 |
