MSc in Statistics (Research)
Full-year programme. Students must take courses to the value of three full units and a dissertation.
| Paper | Course number and title | |
|---|---|---|
| 1 | Statistical Inference: Principles, Methods and Computation | |
| 2 | Dissertation | |
| 3 & 4 | Courses to the value of two full units from the following: | |
| 
 | Multivariate Methods (H) | |
| 
 | Stochastic Processes (H) | |
| 
 | Generalised Linear Modelling and Survival Analysis (H) | |
| 
 | Multilevel Modelling (H) | |
| 
 | Non-linear Dynamics and the Analysis of Real Time Series (H) (n/a 14/15) | |
| 
 | Developments in Statistical Methods (H) | |
| 
 | Time Series (H) | |
| 
 | Applied Stochastic Processes (H) | |
| 
 | Advanced Probability Theory (H) | |
| 
 | Longitudinal Data Analysis (H) | |
| 
 | Econometric Analysis | |
| 
 | Algorithms and Computation (H) | |
| 
 | Fundamentals of Social Science Research Design (H) | |
| 
 | Survey Methodology (H) (n/a 14/15) | |
| 
 | Causal Inference for Observational and Experimental Studies (H) | |
| 
 | Special Topics in Quantitative Analysis: Advanced Regression Modelling (H) | |
| 
 | Mathematical Programming: Theory and Algorithms (H) | |
| 
 | Population Analysis: Methods and Models (H) | |
| 
 | Other non-ST course(s) (to the value of one unit, with permission) | |
This programme is externally accredited by the RSS. Further information is available on the Department of Statistics website.

