Module finder

Explore TV modules. Search our module catalogue to find any course module available for undergraduate or postgraduate study.

3211 modules

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MATH6183 (2025-26)

Data Mining and Analytics

The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques.
MANG3056 (2025-26)

Data Mining for Marketing

Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using ‘Big Data’ to improve marketing activities. Specifically, it focuses of the use of data mining techniques to manage customer relationships. Relevant marketing issues such as customer surveys, profiling/segmentation, communications, campaign measurement, satisfaction, loyalty, profitability, social media and other current topics will be discussed with regard to how data mining and analytical approaches can be used to improve marketing decision making. In this module, students will get hands-on experience and will be introduced to software commonly used in marketing departments and organisations. Thus, this module seeks to equip students with key skills needed to manage real marketing decisions based on marketing data.
SESA1018 (2025-26)

Data Science & Computational Methods

“The purpose of computing is insight, not numbers” (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.

In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.

In this module you will

- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms

This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond.
FEEG1203 (2025-26)

Data Science and Computing for Engineers

This module will help you become proficient in data analysis and computational methods with coding that you will need for solving engineering challenges throughout your degree and beyond.
STAT6114 (2025-26)

Data Science Foundations

The aim of this module is to present a range of data science concepts, including dealing with administrative and big data sources, and to present some basic methods for data analysis.
STAT6119 (2025-26)

Data Visualisation

Data visualisation is the process of summarising and communicating the information in a dataset through graphics. This course examines what makes good visualisations, and how this depends on the audience and purpose of the visualisation and the type of data being displayed. The link between good graphics and an understanding of human perceptual and information-processing capacities are discussed. These principles are put into practice by using the R programming language to construct and deploy high quality visualisations.
COMP6234 (2025-26)

Data Visualisation

Welcome to the Data Visualisation module! In this course, you would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. You will gain an understanding of how humans perceive data, and why certain techniques can greatly enhance the effectiveness of any visualisation. We will look at example images to critique them, building up knowledge about what works, and what doesn't. The course will include a mix of lectures, tutorials, seminars and hands-on exercises.
HUMA2027 (2025-26)

Data, Culture, and Justice

Data organise our present and shape our future. Those data are never neutral because they are the product of human labour, of choices made by people about what data to record, how to record it, and who is best equipped to do that recording. Drawing on work from intersectional feminism, anti-colonial theory, and infrastructure studies, this module takes a justice-led approach to data as both products and producers of culture. It examines the ways that the datafication of culture has produced predictive systems that police us, structures that define us, and products that simulate us. It explores the connections between historical forms of data production and present day inequities. It discusses the value, purpose, and variety of justice-led approaches to analysing data and culture. And it considers how we might creatively resist, reimagine, and remake the relationship between data, culture, and social justice.

No technical or theoretical knowledge is required to take this module. It is open to all, whether you want to develop a justice-led approach to thinking about the intersections of data and culture, or you want to work with data to apply justice-led thinking to your analysis of culture.
SESA6083 (2025-26)

Data-Driven Fluid Mechanics

The module will introduce contemporary computational methods for fluid flow analysis, with a specific focus on techniques that use simulation or experimental data. The module will cover aspects of flow stability, model order reduction and pattern identification, as well as data-assimilation techniques and machine learning for system identification. Through a blend of lectures and hands-on laboratory sessions, the module will provide students with the practical knowledge required to implement and apply these methods, together with a solid understanding of fundamental fluid mechanics and mathematical concepts underpinning their use.
ARCH1047 (2025-26)

Debates and Issues in Archaeological Science

The application of scientific techniques is increasingly embedded in archaeological studies and is an area where the UK currently leads the world. Techniques such as dating methods, the use of isotopes to reconstruct past diet or human migrations and the sequencing of ancient DNA are responsible for many major recent breakthroughs in our understanding of the past. But rather than teach students to produce scientific data, or bog them down with scientific equations, this module aims to give the students the skills required to be consumers of archaeological science. They will become familiar with the scientific literature and learn to cast a critical eye over scientific data; interpret it for themselves and engage in the archaeological debates arising from the science.
MANG6312 (2025-26)

Decision Making and Analysis in Projects

Decision making and analysis are among the most critical skills of successful project managers throughout their career. Significance of these skills and the outcome of decisions in a project’s success or failure have been emphasised in theory and highly appreciated in practice of project management. This module introduces the characteristics of decisions and decision making in project environments. Different theoretical and practical approaches, styles and methods of making and analysing project decisions will be discussed and practiced throughout the module.
ENGL2107 (2025-26)

Decolonising Modernity

Literary history is often told in epochs. In particular, it can be useful to understand the world in relation to some or other idea of “modernity”: for example, English literary studies is often organised through conceptions of the early modern, the modern, and the post-modern. But many influential constructions of modernity assume and promote Eurocentric ideas of progress, development, and history. This module invites you to interrogate these ideas. The module begins with work that reveals the cultures of violence and inequity that are instituted by imperialist constructions of modernity and civilisation. You will then learn to work with debates that have been conducted through formulations of ‘postcolonial studies’, ‘subaltern studies’, ‘diaspora studies’, ‘world systems’, ‘history wars’, ‘world literature’ and ‘decolonisation’. Across the module, you will explore fictions of various genres from Africa, the Americas, Australia and other parts of the world, and you will consider the importance of literature to debates about race, law, identity, belonging, political and economic geography, and citizenship.
COMP6252 (2025-26)

Deep Learning Technologies

Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with large datasets. This module explores how deep learning can be applied to real world data by implementing models through combinations of pre-built building blocks.
SOES3055 (2025-26)

Deep Sea Ecology

This module examines the patterns of life in deep-sea environments & the processes that govern those patterns.
SOES6008 (2025-26)

Deep Sea Ecology

This module examines the patterns of life in deep-sea environments & the processes that govern those patterns.
MANG6568 (2025-26)

Deeper Analytics and Big Data

In today’s era of “big data”, business analytics has become a key part of management decision making. Modern managers must now develop a deeper understanding of the use and value of big data and of the various analytical tools which are available to make sense of it. This module provides a deeper insight into the use of analytics with big data in a business environment; and, critically, how it can be used to inform strategic decision-making in organisations.
ARTD6273 (2025-26)

Define, Consolidate, Connect

This module offers students the chance to apply the skills and knowledge acquired during the program in the development of a final practice-led research project. The module places a significant emphasis on self-initiation, as students independently refine their design proposals, establish connections with external sources, and advance their ideas. The instructional focus is on project supervision sessions, where each student is assigned a Tutor to provide guidance and support throughout the project. Emphasizing progressive independence, a rigorous approach to design research, and a thorough exploration of key contemporary issues in the discipline, this module provides a unique opportunity for students to construct a portfolio that reflects the professional or academic context they aspire to engage with post-graduation.
SSPC1004 (2025-26)

Delivering Justice: Mapping the Criminal Justice System

In this module you will develop an understanding of the England and Wales criminal justice system, with a particular focus on its philosophies, institutional practices and processes and outcomes. You will gain an understanding of how the criminal justice system attempts to uphold the rule of law, deter criminal behaviour, promote law abiding behaviour and sanction those who violate laws through criminal penalties. Consideration will also be given to due process protections against abuse of policing and prosecution powers.
PAIR2026 (2025-26)

Democratic Theory

Most states claim to be democratic. This module looks at the theory of democracy, including foundational questions about political inclusion, participation, and equality. As a result, students will develop a greater understanding of what democracy requires and why we might value it, an understanding that will enable them to reflect critically on claims about democracy.
PAIR3033 (2025-26)

Democratic Theory

Most states claim to be democratic. This module looks at the theory of democracy, including foundational questions about political inclusion, participation, and equality. As a result, students will develop a greater understanding of what democracy requires and why we might value it, an understanding that will enable them to reflect critically on claims about democracy.
GERO6050 (2025-26)

Demographic Change, Ageing & Globalisation

This module provides you with a foundation of knowledge on demographic change and population ageing in a cross-cultural, global perspective. The module views ageing through an international development lens, focusing on less economically developed countries (LEDCs) and on linkages between different regions of the world. You will gain an understanding of the implications of contemporary demographic and health changes for the welfare of individuals, families and societies; and an awareness of how, with globalisation, demographic, social and economic change in one part of the world impacts upon trends in another. The module takes an intergenerational and lifecourse approach by stressing the close interaction between generations, and between older and younger selves, in the production of care, risk, and welfare in later life. You will be introduced to examples from around the world, including Southeast, East and South Asia, sub-Saharan Africa, Central and Eastern Europe and Latin America.
GERO6043 (2025-26)

Demographic Change, Ageing & Globalisation (DL)

This module provides you with a foundation of knowledge on demographic change and population ageing in a cross-cultural, global perspective. The module views ageing through an international development lens, focusing on less economically developed countries (LEDCs) and on linkages between different regions of the world. You will gain an understanding of the implications of contemporary demographic and health changes for the welfare of individuals, families and societies; and an awareness of how, with globalisation, demographic, social and economic change in one part of the world impacts upon trends in another. The module takes an intergenerational and lifecourse approach by stressing the close interaction between generations, and between older and younger selves, in the production of care, risk, and welfare in later life. You will be introduced to examples from around the world, including Southeast, East and South Asia, sub-Saharan Africa, Central and Eastern Europe and Latin America.
DEMO6030 (2025-26)

Demographic Methods 1

This Module provides an introduction to the technical basis of demography. It focuses on concepts and methods underpinning demographic analysis and provides a practical introduction for those professionally engaged with demographic work (in government departments, for example) as well as for MSc and doctoral students in a wide range of cognate disciplines.

The module is numerical but not highly mathematical so that some prior familiarity with quantitative methods is an advantage but not required.

This module is run as a 3-day short course.
DEMO6032 (2025-26)

Demographic Methods 2

The module will cover a range of more advanced methods of demographic analysis, including multiple decrement life tables, health expectancies, an introduction to event history analysis, the use of type 1 and type 2 rates in demography and sources of bias in event history data, parity-specific measurement, empirical and relational model life tables, models for age patterns, stable population theory, the cohort-component method and other selected topics in population projections, selected topics in migration, as well as elements of linear algebra and matrix models of population dynamics.
DEMO6020 (2025-26)

Demographic Methods I

This Module provides an introduction to the technical basis of demography. It focuses on concepts and methods underpinning demographic analysis and provides a practical introduction for those professionally engaged with demographic work (in government departments, for example) as well as for MSc and doctoral students in a wide range of cognate disciplines.

The module is numerical but not highly mathematical so that some prior familiarity with quantitative methods is an advantage but not required. Extensive use is made of Excel worksheets.

Pre-requisite for DEMO6016

One of the pre-requisites for DEMO6022
MANG6018 (2025-26)

Derivative Securities Analysis

This module explores the key concepts and theories of financial derivatives. The focus is mainly on futures and options whose underlying asset is a financial asset (e.g., stock index options). Students will learn how to price these derivatives with the use of suitable pricing models. Additionally, they will learn how to use them to implement various risk management strategies. Overall, this module will enable students to possess a solid knowledge on derivatives and will give them the foundation to read further in the area and at a more advanced level (e.g., high quality journals).
MANG3117 (2025-26)

Derivatives Trading Book Management with Programming

Derivatives Trading Book Management with Programming is a practically focused advanced course in the market-making of derivatives products using computational modelling. Students will get a bird's eye view of the derivatives industry, and the roles of the major buy- and sell-side players, across all underlying asset classes. They will learn how to use the main 'vanilla' products - forwards, swaps, options, caps and floors - to structure bespoke features and exotic contracts for prospective clients. Using Python, students will create their own Monte Carlo engine and use it in the practice of market making: pricing, dynamic hedging, and risk management. Finally, students will learn about the role and social impact of financial market regulations.
GGES3016 (2025-26)

Desert Landscapes: Modelling and Measuring Aeolian Systems

Some of the biggest uncertainties in climate change predictions come from our lack of understanding of the impact of some of the smallest airborne dust particles. These dust particles are transported between continents from some of the hottest and most unpopulated regions on our planet, and potentially end up fertilising tropical rain forests or ocean algal blooms. Yet, even in the harshest of desert environments, vegetation or bacteria may still exist, and help to shape the windy landscapes that they reside in. Landscapes where wind-blown sand forms some of the most exquisite, self-organised patterns visible on satellite images and recognisable on other planets.
ELEC2300 (2025-26)

Design

Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills, in addition to the understanding of underlying engineering principles.

This module includes individual and team design exercises devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercise has real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.

Exercises share common characteristics:
• Customer orientated rather than proscriptive specifications are given
• Design work carried out, bringing academic knowledge to bear on practical problems
• Laboratory sessions are used for development/ construction/ verification of designs
• Allow students to demonstrate their communication skills in writing individual and group reports/presentations.
HLTH6200 (2025-26)

Design & Methods for Clinical and Health Research

This module is suitable for students who are planning to conduct an empirical project for their dissertation, those who work in clinical and health research settings and those who wish to develop their knowledge and understanding of design and methods for clinical and health research. It forms a basis for other research modules comprising the MRes programme. Learning is shared with the doctoral training programme.

Having successfully completed this module, you will be able to:

LO1.Critically appraise and integrate a wide range of literature related to your area of research, both from a scientific and a pragmatic perspective, and in the context of a health care environment

LO2.Identify questions or topics relating to your area of practice and carry out a comprehensive literature search

LO3.Demonstrate an understanding of relevant research design and methods through critical appraisal of selected literature

LO4.Critically evaluate relevant research evidence and synthesise recommendations for your area of research or practice

LO5.Identify and justify appropriate and feasible research question(s).
MATH3014 (2025-26)

Design and Analysis of Experiments

A well-designed experiment is an efficient way of learning about the world. Typically, an experiment may involve varying several factors and observing the value of a response at settings of combinations of values of these factors. The mathematical challenge is then to choose which settings to use in order to gain the maximum information from the resulting data.

Experiments are performed in all branches of science, engineering and industry. In recent years, traditional application areas such as agriculture, manufacturing, medicine and pharmaceutical science
have been joined by bioinformatics, genetics, drug discovery, finance and economics. Problems of increasing size and complexity from these new areas have led to the development of many new
methods for designing and analysing experiments. The aim of this module is to provide a grounding in the statistical and mathematical methods that underpin the design and analysis of experiments, before exploring a number of areas where recent and ongoing developments are taking place. Mathematical criteria for quantifying the information available from a given design will be defined and explored, and will underpin much of the material in the module.
PHYS2011 (2025-26)

Design and Observation in Astronomy

The course takes place during the Easter vacation at La Laguna University, Tenerife, Spain.

The course consists of two separately assessed modules.
Module 1 is a one week design study of an astronomical spacecraft.
Module 2 is a week of practical observations at the Teide Observatory using optical and infra-red telescopes involving both solar and night-time observations.

Due to space limitations at the observatory, only 12 students can take part in this module. Offers to participate are made only to the 12 academically strongest students registered on the MPhys with Astronomy Programme, based on performance in Year 1. Academic performance will be judged by the credit-weighted Year 1 average, using only marks obtained at the first attempt (i.e. no referral marks).

Only students registered on the MPhys with Astronomy programme by the end of the summer term of their first year will be considered for invitation onto this module.
OCCT2032 (2025-26)

Design for Occupation 2

In this level 5 module, you will build on your understanding of design as an art and a science at level 4 and its effects on occupational performance. You will apply this to your understanding of OT practice, to support occupational engagement for health and well-being.

You will be introduced to assessments from Occupational Therapy and other appropriate disciplines to enable you to evaluate features of design and their potential impact on occupational performance and well-being. You will also take part in workshops and receive presentations from external speakers to further your knowledge of design principles and processes.

This level 5 module involves collaboration with outside agencies in designing systems, environments or artefacts to enhance occupational engagement/performance for service users.
ARTD6255 (2025-26)

Design Management Final Project: Critical Paper

The Final Project is a culmination of your studies on the PGT Design Management programme, preparing you for either further studies or a future career in Design Management. This module gives you the opportunity to demonstrate your knowledge of ‘real world scenarios’ and consider progressive thinking in sustainable practice and design management theories, and how this informs design management & strategic planning in industry. It also gives you the opportunity to develop an extended focus on a single topic to advanced critical levels, with a focused portfolio of skills. You will be considering real world scenarios together with your progressive learning on Design Management, to apply to an independently constructed project demonstrating your deeper understanding of concepts and methodologies. This is an independent and self-directed project with the guidance of a supervisor.

On this module you will put into practice the research and analytical skills that you have learned on the programme. Focusing on a contemporary design management discussion, debate or issue, you will investigate this thoroughly to prepare a critical paper collating, critically analysing and commenting on the ideas and viewpoints of others, together with those of your own.

This enables you to develop critical thinking and problem-solving abilities and apply to . As well as improves your communication and presentation skills that are key for employability.

You will employ professional approaches to engage with relevant academic staff, and peers to explore and undertake an independent project. There will be flexibility to select a project . You will apply research and project management methods and techniques and demonstrate academic and professional ethical awareness. By your application of theory , your analysis and final output will engage with and extend your understanding of current issues and debates and industry and professional contexts.
ARTD6257 (2025-26)

Design Management Principles and Practices

Design as a function is the driver of change so therefore the role of the designer is demanding and dynamic, with an ever-changing landscape of economics, politics, society, culture and values. Designers are challenged to problem solve, working towards the United Nation Global Sustainable Goals (SDGs) to provide strategic plans for competitive advantage leading to global prosperity. We ask an overarching question of how can design enable industry, communities and society as a whole to create a more resilient future.

“The 2030 Agenda for Sustainable Development adopted by all United Nations Member States in 2015, provides a shared blueprint for peace and prosperity for people and the planet, now and into the future. At its heart are the 17 Sustainable Development Goals (SDGs), which are an urgent call for action by all countries - developed and developing - in a global partnership. They recognize that ending poverty and other deprivations must go hand-in-hand with strategies that improve health and education, reduce inequality, and spur economic growth – all while tackling climate change and working to preserve our oceans and forests” (sdgs.un.org, 2023)

The Principles and Practices module explores the relevance and context of the role of a designer in relation to products and services. It explores the designer and their values, principles & processes in practice in relation to responsible design. It looks at different stakeholder perspectives involved in the design processes to examine the interaction and key values & principles a designer must hold to address progressive sustainable practice from a global perspective.

This would inform an approach to problem solving that takes a critical and purposeful direction that understands the human and the problem first. The module will delve into how a designer can harness these advanced skills to add value to the business environment and their own practice from a societal perspective. Decisions made in the design process towards this, advance the definition of sustainable practice to improve the three ‘Ps’ People, Planet and Profits (Tripe Bottom Line) .

You will be expected to develop and present constructive & critical thinking
in relation to your own direction and demonstrate understanding of the academic literature recommended on the module and beyond.

During the course of this module, you will explore the SDGs and delve into models of sustainable practice considering Triple Bottom Line, Circular economy and social practice. The module will cover advanced key concepts in design practices for Human centred design in industry and delve into depth on the theoretical literature related to Human Centre and inclusive practice. You will also be encouraged to discuss, engage and articulate on the wider political, social, environmental and technological shifts in society to position your ideas within your chosen sector in Design Management. This would inform an approach to problem solving that takes a critical and purposeful direction that understands the problem first.
MATH6027 (2025-26)

Design of Experiments

A well-designed experiment is an efficient way of learning about the world. Typically, an experiment may involve varying several factors and observing the value of a response at settings of combinations of values of these factors. The mathematical challenge is then to choose which settings to use in order to gain the maximum information from the resulting data.

Experiments are performed in all branches of science, engineering and industry. In recent years, traditional application areas such as agriculture, manufacturing, medicine and pharmaceutical science
have been joined by bioinformatics, genetics, drug discovery, finance and economics. Problems of increasing size and complexity from these new areas have led to the development of many new
methods for designing and analysing experiments. The aim of this module is to provide a grounding in the statistical and mathematical methods that underpin the design and analysis of experiments, before exploring a number of areas where recent and ongoing developments are taking place. Mathematical criteria for quantifying the information available from a given design will be defined and explored, and will underpin much of the material in the module.
FEEG6009 (2025-26)

Design Search and Optimisation (DSO) - Principles, Methods, Parameterizations and Case Studies

This module introduces students to formal design search and optimization (DSO) approaches using a mixture of lectures covering theory and practice and a series of worked case studies with student participation.
CHEG6008 (2025-26)

Designing for Scale: Commercialising Chemistry

This module will develop your ability as a chemical engineer to communicate effectively with chemists, translating recent developments in chemistry into a business case and designing the next step in the commercialisation process.
SSPC6907 (2025-26)

Designing Research

In this module you will explores the practical challenges of designing and conducting research. The module provides a process focused overview of the stages of a research project from reviewing literature, defining research questions, and identifying appropriate methods of quantitative and qualitative data collection and analysis, to navigating ethics, writing up and presenting the research, and data management. The teaching of these elements is underpinned by a strong emphasis on professional practice, practical research skills and critical reflection. The module is assessed via a research proposal that provides important foundations for conducting an empirical PGT dissertation. The skills covered on this module are a key part of professional research practice and as such are important transferable skills, valued by employers in a variety of sectors and industries as well as in academic career paths.
PSYC6174 (2025-26)

Designing Research for Psychology

This applied research methods module aims to cover common research training needs for all students in their first year of postgraduate study in psychology. You will develop the knowledge and skills you need to begin to design your own research project, and work towards competency in some of the Health Professions Council (HPC) Standards of Proficiency (SOP) for practitioner psychologists.
SSPC6011 (2025-26)

Designing Research: Epistemology and Methodology in Practice

This module explores the practical challenges of designing and conducting research. It provides a process focused overview of the stages of a research project from reviewing literature, defining research questions, and identifying appropriate methods of quantitative and qualitative data collection and analysis, to navigating ethics, writing up and presenting the research, and data management. The teaching of these elements is underpinned by a strong emphasis on professional practice, practical research skills and critical reflection. The module is assessed via a research proposal that provides important foundations for conducting an empirical PGT dissertation in SSPC. The skills covered on this module are a key part of professional research practice and as such are important transferable skills, valued by employers in a variety of sectors and industries as well as in academic career paths.
NQCG3149 (2025-26)

Deteriorating patient level 6


To develop their knowledge and skills in relation to the identification, assessment, and management of the acutely unwell adult patient who is at risk of deterioration or critical illness.

As well as exploring issues relating to the assessment and interventions required for the critically unwell adult, the unit will encourage and enable students to take a ‘wider view’ of the care of the patient who is at risk of deterioration in the clinical environment.

By the end of the module you will be able to identify a development, improvement or change in practice which may improve the care given to patients who are at risk of deterioration within your own practice setting.
HLTH6201 (2025-26)

Deteriorating Patient level 7

MATH6002 (2025-26)

Deterministic OR Methods

This module aims to introduce the student to the main deterministic techniques that are used in operational research, namely linear and integer programming, dynamic programming, machine scheduling, project networks, and heuristics. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality
will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed. Dynamic programming will be introduced as a technique for tackling problems in which decisions can be made sequentially. For machine scheduling, the main focus will be to introduce the main problem types, and develop solution procedures for selected models. For project networks, the representation of projects as networks and methods for analysing such networks will be covered. Following a discussion of the reasons for using heuristic methods for complex problems, a
discussion of the properties of good heuristics will be given. Some of the design principles for heuristics will be explained, and local search heuristics will be discussed.

One of the pre-requisites for MATH6158
MATH6161 (2025-26)

Deterministic OR Methods for Data Scientists

This module aims to introduce the student to some of the main deterministic techniques that are used in operational research, namely linear and integer programming. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed.
LING6041 (2025-26)

Developing Approaches to Language Teaching

This module builds on your knowledge of language teaching methodologies developed in LING6022. It will focus on current issues in language teaching methodologies and address more specialised areas taking both a synchronic and diachronic which will complement those explored in LING 6022. It will address the implementation and adaptation of methodologies, with particular emphasis on developing your knowledge of the theoretical framework for CLT. You will build on translating theoretical approaches to language learning into practical activities through practical innovation and observation of lesson videos. We will focus on the learner (including learning processes), the classroom environment and practical implementations of language teaching.
NPCG6002 (2025-26)

Developing Professional Practice

This is an opportunity for you to undertake a period of negotiated self-directed learning. The aim is to embellish your knowledge, skills and capabilities in preparation for your final year and transition into professional practice
HLTH6263 (2025-26)

Developing research skills: practice-based learning

This module is suitable for students who work in clinical and health research settings and those who wish to develop skills for clinical and health research. It forms a basis for other research modules comprising the MRes programme. Learning is shared with the doctoral training programme.
PAIR6080 (2025-26)

Development and International Relations

This module will examine the main points of contention regarding the South, its position in the international economy and changes that have occurred over the last few decades. Students will be asked to critically evaluate the reasons for the economic stasis that has occurred in some regions and the economic changes that have occurred in other regions. The objectives of the course are to understand how less developed countries have been, and are being integrated into the world system, to consider how the nature of the world system influences the form of integration, and to discuss alternative forms of integration that lead to more favourable developmental outcomes for LDC’s.
PAIR6080 (2025-26)

Development and International Relations

This module will examine the main points of contention regarding the South, its position in the international economy and changes that have occurred over the last few decades. Students will be asked to critically evaluate the reasons for the economic stasis that has occurred in some regions and the economic changes that have occurred in other regions. The objectives of the course are to understand how less developed countries have been, and are being integrated into the world system, to consider how the nature of the world system influences the form of integration, and to discuss alternative forms of integration that lead to more favourable developmental outcomes for LDC’s.