11354 modules
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PAIR3061 2029-30
Gender, Power and Politics
How can we understand the role of gender in political systems? Why is it important to acknowledge the intersections of gender with race, class, sexuality and disability? What can/should be done about male over-representation in legislatures worldwide? Why are women still missing from many of our highest offices? What is the role of masculinity in campaign rhetoric? Can conservative politicians claim to be feminist?
This module considers these questions and more. It analyses the link between gender, power and representation in politics. The issues of gender gaps in voting patterns and political participation are explored alongside questions of female representation, women’s paths to executive office, and questions of intersectionality. Students will gain an understanding of how inequalities based on gender, race, class and sexuality influence our politics and learn the tools to undertake gendered critiques and analyses of politics. -
CHEM2029 2026-27
General Practical Chemistry I
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CHEM2035 2026-27
General Practical Chemistry II
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STAT6135 2027-28
Generalised Linear Models
This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented, with emphasis on the underpinning theory and practical examples. Students are also exposed to the basic foundations of estimation for GLMs. -
STAT6135 2026-27
Generalised Linear Models
This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented, with emphasis on the underpinning theory and practical examples. Students are also exposed to the basic foundations of estimation for GLMs. -
STAT6135 2025-26
Generalised Linear Models
This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented, with emphasis on the underpinning theory and practical examples. Students are also exposed to the basic foundations of estimation for GLMs. -
SSPC6906 2027-28
Generative AI
In this module you will explore Generative AI, the recent advance in AI system capability that produces text, images, video, audio or software code in response to a user’s prompting. The module explains some of the novel techniques used in this form of AI (e.g. large language models, transformers, attention) and gives you the opportunity to use generative AI to solve specific problems with hands-on experience of deployment through training large language models (LLMs), prompt engineering and fine tuning.
Students will develop a responsible AI perspective by examining the problems, limitations , economic and human costs of these technologies in terms of hallucinations, energy consumption, intellectual property violations, the social impact on labour markets and challenges to the cultural sector.
The module will also address the claims made by technology leaders concerning the future evolution of Generative AI chat-bots into Artificial General Intelligence (AGI), and the so-called “existential” risks of AI. -
SSPC6906 2026-27
Generative AI
In this module you will explore Generative AI, the recent advance in AI system capability that produces text, images, video, audio or software code in response to a user’s prompting. The module explains some of the novel techniques used in this form of AI (e.g. large language models, transformers, attention) and gives you the opportunity to use generative AI to solve specific problems with hands-on experience of deployment through training large language models (LLMs), prompt engineering and fine tuning.
Students will develop a responsible AI perspective by examining the problems, limitations , economic and human costs of these technologies in terms of hallucinations, energy consumption, intellectual property violations, the social impact on labour markets and challenges to the cultural sector.
The module will also address the claims made by technology leaders concerning the future evolution of Generative AI chat-bots into Artificial General Intelligence (AGI), and the so-called “existential” risks of AI. -
SSPC6906 2025-26
Generative AI
In this module you will explore Generative AI, the recent advance in AI system capability that produces text, images, video, audio or software code in response to a user’s prompting. The module explains some of the novel techniques used in this form of AI (e.g. large language models, transformers, attention) and gives you the opportunity to use generative AI to solve specific problems with hands-on experience of deployment through training large language models (LLMs), prompt engineering and fine tuning.
Students will develop a responsible AI perspective by examining the problems, limitations , economic and human costs of these technologies in terms of hallucinations, energy consumption, intellectual property violations, the social impact on labour markets and challenges to the cultural sector.
The module will also address the claims made by technology leaders concerning the future evolution of Generative AI chat-bots into Artificial General Intelligence (AGI), and the so-called “existential” risks of AI. -
MEDI6235 2027-28
Genomic Informatics
This module is only compulsory for the MSc Genomics (Informatics) pathway, and optional for other pathways.
This module builds on the knowledge and experience gained from the Genomic Technologies and Basic Informatics module, introducing the Linux command line environment. Students will perform analysis of data generated by different omic technologies, particularly transcriptomic and cancer genomic data. Upon completing this module students will be in a strong position to base their MSc research project on NGS data.