The maximum period of study for full-time students is 4 years. This catalogue only shows the taught units on the programme and may not show all years of study.
The MRes is an exit point from the PhD in Computational Statistics and may be awarded to students who leave the PhD following successful completion of the first year of study, comprising the units outlined below.
| Unit name | Unit code | Credit points | Status | Teaching Block |
|---|---|---|---|---|
| BootCamp | MATHM0043 | 20 | Mandatory | TB-1 |
| Statistical Methods 1 | MATHM0041 | 20 | Mandatory | TB-1 |
| Statistical Methods 2 | MATHM0038 | 20 | Mandatory | TB-2 |
| Statistical Computing 1 | MATHM0039 | 20 | Mandatory | TB-1 |
| Statistical Computing 2 | MATHM0040 | 20 | Mandatory | TB-2 |
| Mini-projects | MATHM0042 | 20 | Mandatory | TB-2 |
| Research Project | MATHM6301 | 60 | Mandatory | AYEAR |
| Computational Statistics (MRes) | 180 |
The assessment of the taught component of a doctoral degree is governed by the Regulations and Code of Practice for Taught Programmes and is assessed separately from the research project. Progression to the research project may be dependent on the successful completion of the taught component - please refer to the relevant handbook for the structure of the particular programme.
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
It may be possible to exit the programme with a taught award. For detailed rules on progression please see the Regulations and Code of Practice for Research Programmes and the relevant faculty handbook.
Students must pass 120 credit points of the taught component to progress to the PhD.
Additional Exit Awards
A Postgraduate Certificate may be awarded on successful completion of 60 credit points and a Postgraduate Diploma on successful completion of 120 credit points.
