The Applied Statistics and Financial Modelling programme at Birkbeck, University of London is ideal if students are considering a career move into statistics, or if students 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. It covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
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 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 students will find theirself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.
Highlights
- Accredited by the Royal Statistical Society- graduates are normally granted Graduate Statistician (GradStat) status.
- Birkbeck brings together research and teaching across economics and finance, mathematics and statistics in a single department, which creates significant interdisciplinary synergies.
- College teaching is informed by the needs of employers and students will be taught by academics who are professional practitioners involved in the world of economics and international finance. They provide specialist advice and in-house training for government departments, City firms and banks.
- College Department houses active research groups in mathematics, econometrics and statistics, macroeconomics and microeconomics, which all host visiting speakers and organise seminars.
- The Birkbeck Centre for Applied Macroeconomics and the Commodities Finance Centre are two research centres, which disseminate research, host events and house visiting academics.
- Students will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.
