MSc Statistics (Financial Statistics) (Research)
Academicyear programme. Students take three compulsory courses (two units), a dissertation, and optional courses to the value of one unit.
Paper 
Course number and title  

1 
Statistical Inference: Principles, Methods and Computation  
2 
Financial Statistics (H)  
3 
Time Series (H)  
4 
Dissertation  
5 
Courses to the value of one 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)  
Applied Stochastic Processes (H)  
Insurance Mathematics (H)  
Probabilistic and Statistical Methods in Risk Management (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)  
Econometric Analysis  
Financial Risk Analysis (H)  
Forecasting Financial Time Series (H)  
Fixed Income Markets (H)  
Asset Markets A (H)  
Derivatives (H)  
Algorithms and Computation (H)  
The Mathematics of the Black and Scholes Theory (H)  
The Foundations of Interest Rate, Foreign Exchange, and Credit Risk Theory (H)  
Quantifying Risk Modelling and Alternative Markets (H)  
Survey Methodology (H)  
Causal Inference for Observational and Experimental Studies (H)  
Special Topics in Quantitative Analysis: Advanced Regression Modelling (H)  
Mathematical Programming: Theory and Algorithms (H)  

Other courses with the permission of the Programme Director 