While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non'standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.
The programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance.
The programme has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time'dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.
Year 1 core modules:
Probability and Stochastic Modelling;
Year 2 compulsory modules:
Continuous Time Stochastic Processes I;
Stochastic Processes and Financial Applications ;
MSc Applied Statistics and Financial Modelling project;
Project Applied Statistics.
Indicative option modules:
Analysis of Dependent Data;
Continuous Time Stochastic Processes II;
Further Statistical Analysis;
Individually Prescribed Reading Course Applied Statistics;
Mathematical Methods of Operational Research;
Special Topics Applied Statistics;
Statistical Data Mining;
Stochastic Methods of Operational Research;
Stochastic Models and Forecasting .
|Duration & Attendance||Qualification||Tuition fees||Fee type|
- A good upper second-class degree or above, with mathematics or statistics as a main subject.
- Other degrees or professional qualifications may also be acceptable, such as the Birkbeck Graduate Certificate in Statistics or the Graduate Diploma of the Royal Statistical Society. If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.