Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, together with shape and image analysis.
Key facts
- ThisÊStatistics course fromÊUniversity of NottinghamÊis founded by the work being carried out in the Statistics and Probability research group.
- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 70 full-time academic staff.
- The Research Excellence Framework (REF) 2014 results place the School in the top 10 nationally within Mathematical Sciences for 'research power' and 'research quality'; with 32% of its research recognised as world-leading and a further 56% as internationally excellent.Ê
- The research environment was classified as 75% world-leading in vitality and sustainability, with the remaining 25% internationally excellent, reflecting the outstanding setting the School provides for its academic staff as well as its postdoctoral and postgraduate researchers.
- Ranked 8th in the UK for three subject areas within the School, namely pure mathematics, applied mathematics, statistics and operational research.
- This course is accredited by the Royal Statistical Society.
- The School scored 94% for Student Satisfaction in the 2017 National Student Survey
Careers
The programme will provide you with specific techniques and skills suitable for a professional career in statistics or as a solid basis for research in statistics. There is great demand for people with postgraduate qualifications in this area.
