8498 modules
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HIST6151 2026-27
MA History Dissertation
The culmination of your Masters’ degree, this module will provide you with the opportunity to convert your learning into a 12000 word dissertation on a historical research topic of your choice, subject to available supervisory expertise. Your final dissertation will present a coherent, detailed, and sustained argument on a subject which may follow on from work completed in other elements of the programme. It will involve conducting independent research using a variety of primary sources, and the analysis and interrogation of existing historiography. While you will work independently to produce the final submission, you will be allocated a suitable supervisor, and the project will develop under their supervision. -
ARTD6279 2026-27
MACC Final Project
This module is the culmination of your studies on the MA Contemporary Curating programme, affording you the opportunity to demonstrate the theoretical and practical approaches to curation you have developed.
Through tutorials and seminars, but primarily through independent practice, students will be supported in this module in their development of realisations of their individual curatorial interests, exploring experimental techniques and attitudes, demonstrating the knowledge, skills and relationships built over the course of the programme.
You will deliver an in-depth written academic dissertation, realise a documented project or submit a fully-detailed project proposal for a designated space. -
ARTD6279 2025-26
MACC Final Project
This module is the culmination of your studies on the MA Contemporary Curating programme, affording you the opportunity to demonstrate the theoretical and practical approaches to curation you have developed.
Through tutorials and seminars, but primarily through independent practice, students will be supported in this module in their development of realisations of their individual curatorial interests, exploring experimental techniques and attitudes, demonstrating the knowledge, skills and relationships built over the course of the programme.
You will deliver an in-depth written academic dissertation, realise a documented project or submit a fully-detailed project proposal for a designated space. -
MATH6168 2026-27
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets. -
MATH6168 2027-28
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets. -
MATH6168 2028-29
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets. -
STAT6121 2025-26
Machine Learning
The module aims to equip students with the necessary foundations to make practical and effective use of machine learning methods on complex datasets. This course uses R and is delivered as an intensive one-week module for the MSc in Data Analytics for Government. -
MATH6168 2025-26
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets. -
STAT6143 2027-28
Machine Learning
The module aims to equip students with the necessary foundations to make practical and effective use of machine learning methods on complex datasets. This course uses R and is delivered as an intensive one-week module for the MSc in Data Analytics for Government. -
MATH3097 2027-28
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets.