In order to obtain a degree, students on the MPhil in Machine Learning and Machine Intelligence will be required to obtain:
- an aggregate mark of 60% or higher on the core and optional modules
- a passing mark of 60% or higher on the dissertation
Taught modules will contribute to the aggregate mark either as a full module, or as a part module (with a weight of 50% or 75%). Module assessment is performed using various methods and sometimes more than one method as appropriate. These include unseen written tests, take-home tests, reports, practical write-ups, presentations, essays, demonstrations, or other exercises. For 4th year undergraduate modules (e.g. Deep Learning and Structured Data, Probabilistic Machine Learning), assessment will be as posted for those modules.
The overall course mark will be weighted 60% taught / 40% dissertation. Students achieving an exceptional performance may be awarded a Distinction. 'Exceptional performance’ will be a mark of 75% or more in both components; a distinction may be awarded on the strength of a dissertation judged exceptional by the examiners. Cases of marginal failure (55%-59%) will be dealt with individually by the Examiners. Students failing the dissertation will be examined through a viva.