Courses in Statistics for 2022-2023
- Statistics 1Y: Introduction to Statistics: Learning from Data (20 Credits)
- Statistics 1Z: Data Modelling in Action (20 Credits)
- Statistics 2R: Probability (10 Credits)
- Statistics 2S: Statistical Methods, Models and Computing 1 (10 Credits)
- Statistics 2X: Probability II (10 Credits)
- Statistics 2Y: Statistical Methods, Models and Computing 2 (10 Credits)
- Statistics 3B: Biostatistics (10 Credits)
- Statistics 3G: Generalised Linear Models (10 Credits)
- Statistics 3I: Inference (10 Credits)
- Statistics 3L: Linear Models (10 Credits)
- Statistics 3T: Time Series (10 Credits)
- Statsitics 3D: Design of Experiments (10 Credits)
- Advanced Bayesian Methods (10 Credits)
- Bayesian Statistics (10 Credits)
- Biostatistics (10 Credits)
- Design of Experiments (10 Credits)
- Environmental Statistics (10 Credits)
- Flexible Regression (10 Credits)
- Generalised Linear Models (10 Credits)
- Inference 3 (10 Credits)
- Linear Mixed Models (10 Credits)
- Linear Models 3 (10 Credits)
- Multivariate Methods (10 Credits)
- Principles of Probability and Statistics (10 Credits)
- Spatial Statistics (10 Credits)
- Statistical Genetics (10 Credits)
- Stochastic Processes (10 Credits)
- Time Series (10 Credits)