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 | |
|---|---|---|---|---|
| Causal Inference and Statistical Designs | Part III Examinable | Michaelmas | 16 | |
| Modern Statistical Methods | Part III Examinable | Michaelmas | 24 | |
| Robust Statistics | Part III Examinable | Michaelmas | 16 | |
| Statistics in Medicine (Statistics in Medical Practice) | Part III Examinable | Michaelmas | 12 | |
| An Introduction to Deep Learning Theory | Part III Non-Examinable | Michaelmas | 12 | |
| Statistics in Medicine (Analysis of Survival Data) | Part III Examinable | Lent | 12 | |
| Statistical Learning in Practise | Part III Examinable | Lent | 24 | |
| Topics in Statistical Theory | Part III Examinable | Lent | 16 | |
| Astrostatistics(See Astrophysics) | Part III Examinable | Lent | 24 |