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| Application Deadline: | Not fixed | ||
| Location: | Bristol / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | October |
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| Languages: | English | ||
The MRes in Statistics aims to provide a bridge for strong students between Undergraduate and PhD study, allowing them to increase in the depth and breadth of their understanding in a range of topics in statistics and probability, and develop their overall research perspective and vision before finalizing their area of research.
Through a range of core and optional units, the MRes will develop your understanding of appropriate mathematical and statistical theory and equip you with the fundamental skills for the modelling and analysis of statistical problems. The project will provide you with an opportunity to tackle a genuine statistical problem using a variety of theoretical, analytical, methodological and computational techniques.
Although it can be taken as a stand alone programme, we envisage that many students will be already committed to PhD study and will take the MRes as the first year of a 1+3 year MRes/PhD programme.
The programme consists of two terms of taught study on a range of core and optional units, followed by a substantial research project.
Taught Units (October to March)
The taught component is built around the following core units:
* Advanced Time Series
* Graphical Modelling
* Monte Carlo Methods
* Stochastic Processes
* Stochastic Optimisation
There is a wide range of optional units, but students intedning to continue on the PhD degree will normally be expected to include the following:
* Statistical Asymptotics
* Statistical Computing
* Statistical Inference
* Statistical Modelling
Research Project (April to September)
As an integral part of the MRes programme, students are required to complete a project and submit a dissertation. The project gives students the opportunity to carry out a substantial investigation on a topic of their choice and counts for one third of the total assessment. For an indication of staff research interests, please see the web page for PhD Mathematics.
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testEntry requirements
A first or upper second class Honours degree in Mathematics, Statistics, or in a subject with substantial Statistical and/or Mathematical content.
Language requirements
An IELTS score of 6.5. We also accept other language tests; please see our website for details.
| Cambridge English: Advanced (CAE): | Grade B (Score: 75) |
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