MSc in Statistics (Financial Statistics)
Programme code: TMSTFS
Academicyear programme. Students take three compulsory courses (two units) and options to the value of two units.
Paper 
Course number and title  

1 
Statistical Inference: Principles, Methods and Computation  
2 
Financial Statistics (H)  
3 
Time Series (H)  
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)  
Nonlinear Dynamics and the Analysis of Real Time Series (H)  
Developments in Statistical Methods (H)  
Applied Stochastic Processes (H)  
Insurance Mathematics (H)  
Probabilistic Methods in Risk Management and Insurance (H)  
Computational Methods in Finance and Insurance (H)  
Advanced Probability Theory (H)  
Stochastics for Derivatives Modelling (H)  
Recent Developments in Finance and Insurance (H)  
Introduction to Markov Processes and Their Applications (H)  
Longitudinal Data Analysis (H)  
Machine Learning and Data Mining (H)  
Statistical Computing (H)  
Econometric Analysis  
Financial Risk Analysis (H)  
Forecasting Financial Time Series (H)  
Fixed Income Markets (H)  
Asset Markets A (H)  
Derivatives (H) (n/a 15/16)  
Algorithms and Computation (H)  
The Mathematics of the Black and Scholes Theory (H)  
The Foundations of Interest Rate and Credit Risk Theory (H)  
Quantifying Risk Modelling and Alternative Markets (H)  
Survey Methodology (H)  
Causal Inference for Observational and Experimental Studies (H)  
Mathematical Programming: Theory and Algorithms (H) (formerly OR406)  

Other nonST course(s), with permission.  
Notes: 
The total value of all nonST courses, including those listed under paper 4 above, should not exceed one unit. 
The Bologna Process in relation to taught masters programmes of nine or ten months duration.