Statistics MSc Back
This course is accredited by the Royal Statistical Society
The MSc Statistics offers a modern advanced curriculum in statistics which will enable you to broaden and deepen your understanding of the subject and its applications.
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 the area.
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, and shape and image analysis.
The course is taught mostly through lectures, backed up with smaller seminar groups which are used to revisit more complex topics. The course is taken full-time over one year and is made up of compulsory and optional modules to give you the flexibility to study your topics of interest.
Course Modules include:
- Fundamentals of Statistics
- Medical Statistics
students must choose a minimum of two of the following:
- Applied Multivariate Statistics
- Applied Statistical Modelling
- Stochastic Financial Modelling
- Time Series and Forecasting
and a minimum of 20 credits from this group, but students may not take both Vocational Statistics and Statistical Machine Learning.
- Computational Statistics
- Statistical Machine Learning
- Vocational Statistics
Please note that all module details are subject to change, and that there are some restrictions regarding choices of modules.
Over the summer period towards the end of the course, you will undertake a maths dissertation of 15,000-25,000 words. In this module, a substantial mathematical investigation will be carried out on a topic in statistics (stats) or probability. The study will be largely self-directed, although a supervisor will provide oversight and input where necessary. The maths topic will be chosen by agreement between yourself and your supervisor. The topic could be based on the statistical analysis of a substantial dataset, an investigation into statistical methodology or an investigation into a topic of applied probability or probability theory. It is expected that most projects will contain an element of statistical computing.
The MSc Statistics is intended for students with a degree in mathematics (or a related subject with a substantial mathematical content). Some knowledge of probability and statistics would be helpful to start the course.
The course is offered on a full-time basis over 1 year and comprises 180 credits, split across 120 credits’ worth of taught modules and a 60-credit research project.
Modules are mainly delivered through lectures and example and /or problem classes for smaller groups. You will typically be assessed by an examination or coursework at the end of the semester in which a given module is taught. The course is designed such that the module `Fundamentals of Statistics' is either a pre- or a co-requisite for all other modules offered in the course, whereas the recommended books to meet the prerequisite for this module are:
- Ross, S.M. (1976) A First Course in Probability (or any of the newer editions - most recent is the 8th edition, 2010), Collier-MacMillan.
- Mann, P.S. (2010) Introductory Statistics, John Wiley & Sons
Masters - Full time
- Start date:
- 1 Year
- Teaching method:
- Nottingham, United Kingdom
- Funding possible:
EUR 8,946.52 (GBP 6,630.00)
EUR 20,429.92 (GBP 15,140.00)
- Tuition fees