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Programme structure: Computational Statistics and Data Science (PhD) - what's running in 2020/21

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

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      

Progression/award requirements

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.

Exit awards

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.

Additional progress information

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.

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