MSc in Statistics
Programme code: TMST
Academic-year programme. Students must take courses to the value of four full units.
Paper |
Course number and title | |
|---|---|---|
1 |
Statistical Inference: Principles, Methods and Computation | |
2-4 |
Courses to the value of three full unit 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) | ||
Developments in Statistical Methods (H) | ||
Time Series (H) | ||
Applied Stochastic Processes (H) | ||
Advanced Probability Theory (H) | ||
Longitudinal Data Analysis (H) | ||
Machine Learning and Data Mining (H) | ||
Statistical Computing (H) | ||
Econometric Analysis | ||
Algorithms and Computation (H) | ||
Survey Methodology (H) | ||
Causal Inference for Observational and Experimental Studies (H) | ||
Mathematical Programming: Theory and Algorithms (H) (formerly OR406) | ||
Population Analysis: Methods and Models (H) | ||
|
Other non-ST course(s), with permission | |
Note: |
The total value of all non-ST courses, including those listed under paper 2-4 above, should not exceed one unit. | |
This programme is externally accredited by the RSS. Further information is available on the Department of Statistics website.
The Bologna Process in relation to taught masters programmes of nine or ten months duration.
