MSc in Statistics
Programme code: TMST
Academicyear programme. Students must take courses to the value of four full units.
Paper 
Course number and title  

1 
Statistical Inference: Principles, Methods and Computation  
24 
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)  
Nonlinear 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 nonST course(s), with permission  
Note: 
The total value of all nonST courses, including those listed under paper 24 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.