Statistics

Scheme for the Award of a Taught Master's Degree: Sub-Board 'local rules'

Please read the following local rules in conjunction with the relevant scheme paragraph in the Classification Scheme for this programme:

These Exam Sub-Board 'local rules' apply to the following programmes: MSc Data Science MSc Quantitative Methods for Risk Management (formerly MSc Risk and Stochastics) MSc Statistics MSc Statistics (Research) MSc Statistics (Financial Statistics) MSc Statistics (Financial Statistics) (Research) MSc Statistics (Social Statistics) MSc Statistics (Social Statistics) (Research)
1.	Course critical to assessment: None
2.	Distinction/Merit borderline (scheme paragraph 3.3.2): Classification for students with mark profiles falling into this range will be determined according to an aggregate formula: for a Distinction the aggregate must be 270.
3.	Merit/Pass borderline (scheme paragraph 3.3.4): Classification for students with mark profiles falling into this range will be determined according to an aggregate formula: for a Merit the aggregate must be 240.

For further information on Exam Sub-Board local rules, please contact Martin Johnson