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This module introduces students to the core principles and practices of qualitative research and provides the skills needed to design, conduct, and critically evaluate a small-scale qualitative project. Students will learn a range of qualitative data collection methods and analytic approaches, and will develop an understanding of how these methods are applied within psychological research.The module is suitable for those with little or no prior experience, while also offering opportunities for more experienced students to deepen their knowledge. Advanced captured content on ÌÇÐÄVlogLearn enables students to explore additional analytic methods, and those with prior experience are encouraged to extend their practical skills by applying a new analytic procedure in their project.Students will also develop reflective skills to consider how their cultural background, social identity, gender, experiences, and prior knowledge influence data collection, analysis, and interpretation. The module prepares students to undertake a qualitative dissertation project, should they choose to do so.

his module provides students with an understanding of core theories and concepts in health psychology, and the skills and methods used to translate, and reflect on the translation of, health psychology into real-world contemporary health behaviour contexts. The module thus covers transferrable skills useful for a career in health psychology research and practice. Students will also gain an awareness of professional issues in behavioural health psychology. We will encourage students to think reflexively on how to apply professional and transferrable skills in the context of different issues that impact contemporary health psychology. The module has been designed in accordance with requirements (stage 1) of the British Psychological Society's Division of Health Psychology accreditation criteria. This module addresses the following curriculum areas of a British Psychological Society accredited degree: professional issues, core skills, contexts and perspectives in health psychology, health-related behaviors and cognitions, interventions and healthcare and professional settings. This module will help students to learn to think critically and reflexively about the application of health psychology theories, concepts, methods and skills within different contemporary health behaviour domains.

This module seeks to contextualise behaviour change science, policy and practice. Students are introduced to the policy-making process, how behaviour change strategies are designed, implemented and evaluated among the general public, and the political philosophy of behaviour change science, practice, and policy-making. We critically discuss applied case studies of policy initiatives that have drawn on behavioural science theories and evidence, and external influences, such as the political environment, that can cause policy to deviate from theory or evidence. The module helps students to recognise the tacit assumptions that are made when attempting to change behaviour ‘for the greater good’, and the challenges and counterarguments that often limit the acceptability, feasibility or effectiveness of implementing behaviour change strategies in real-world settings. An overarching purpose of the module is to encourage students to move outside of the academic context and see the ‘bigger picture’ regarding the role of behavioural science and practice for tackling pressing problems in modern societies.

Advances in digital technology are relevant to behaviour change research and practice in three ways: helping behavioural scientists to develop a more sophisticated understanding of human behaviour, enhancing the design and delivery of behaviour change interventions, and shaping everyday behaviours in its own right. This module seeks to explore the contribution that digital tech has made, and continues to make, to understanding and changing behaviour. Students will be introduced to cutting-edge research and practice across a range of tech domains, such as machine learning, Big Data, digital addiction, and digital behaviour change applications. Students will be introduced to a range of disciplinary perspectives, theories and concepts relating to digital technology, and will develop the skills and knowledge required to apply these to behaviour change research and intervention contexts for maximum effectiveness.

Consumer Behaviour is evident in everyday life, therefore knowledge and understanding of this subject can be beneficial to personal decision-making as well as to marketing and strategy formulation, both in offline and online environments. The module Perspectives on Consumer Behaviour deals with a range of theoretical, practical techniques in understanding and researching consumer consumption behaviour and how such an understanding can be used to create successful and viable marketing strategies. This module gives students the opportunity to explore theories and leading-edge research findings and apply knowledge by conducting small group discussion and/or activities. Thus, reflective, and critical applications of relevant behavioural, cognitive, and socio-cultural approaches to consumption are discussed.

This module is offered to students on specialised MSc programmes in the School of Psychology, who are required to take either this advanced module or PSYM188 Fundamentals of Quantitative Data Analysis depending on the extent of their prior statistics training. This module is designed to extend students' skills by equipping them with a range of advanced quantitative methods and associated statistical techniques that are used in research in psychology and closely related social science disciplines. This will help students to develop a broader and more advanced analytical skillset which enables a greater flexibility in how they can approach research datasets. These skills will be very good preparation for using quantitative techniques in doctoral research, professional psychology training, and/or careers that use data analysis (e.g., research, social statistics), enhancing students' employability in these sectors. This module is a suitable option for students who already have a good grounding in statistics from their undergraduate/prior studies, as this module assumes familiarity with basic statistical concepts and mainstream tests such as ANOVA and regression. Students who do NOT have a strong grounding in statistics from their prior studies should instead choose PSYM188 Fundamentals of Quantitative Data Analysis.

This course is a lab-based, practical introduction designed for students with little or no prior experience in statistics. It focuses on developing foundational skills in data analysis using the freely available jamovi software, alongside an understanding of the underlying concepts. Students with more advanced statistical knowledge should consider PSYM187 - Advanced Quantitative Data Analysis instead.

It is a requirement of the University that taught postgraduate programmes include a dissertation and/or major project module. For this module, students will conduct their own piece of empirical research in an area relevant to their Masters course under the supervision of a member of the academic staff. For the assessment, students will write either a qualitative or mixed-method research report of a comparable length to a published single-study journal article.Overall student workload: 600 hoursThis includes 12 hours of tutor supervision. These hours will include development of theoretical framework, aims and hypotheses, recruiting samples, fieldwork and liaison with key personnel as appropriate, data recording and analysis, interpretation and writing up. Specific times for these subsections cannot be given as they vary from project to project.

This module introduces students to the core principles and practices of qualitative research and provides the skills needed to design, conduct, and critically evaluate a small-scale qualitative project. Students will learn a range of qualitative data collection methods and analytic approaches, and will develop an understanding of how these methods are applied within psychological research.The module is suitable for those with little or no prior experience, while also offering opportunities for more experienced students to deepen their knowledge. Advanced captured content on ÌÇÐÄVlogLearn enables students to explore additional analytic methods, and those with prior experience are encouraged to extend their practical skills by applying a new analytic procedure in their project.Students will also develop reflective skills to consider how their cultural background, social identity, gender, experiences, and prior knowledge influence data collection, analysis, and interpretation. The module prepares students to undertake a qualitative dissertation project, should they choose to do so.

Consumer Behaviour is evident in everyday life, therefore knowledge and understanding of this subject can be beneficial to personal decision-making as well as to marketing and strategy formulation, both in offline and online environments. The module Perspectives on Consumer Behaviour deals with a range of theoretical, practical techniques in understanding and researching consumer consumption behaviour and how such an understanding can be used to create successful and viable marketing strategies. This module gives students the opportunity to explore theories and leading-edge research findings and apply knowledge by conducting small group discussion and/or activities. Thus, reflective, and critical applications of relevant behavioural, cognitive, and socio-cultural approaches to consumption are discussed.

This module is offered to students on specialised MSc programmes in the School of Psychology, who are required to take either this advanced module or PSYM188 Fundamentals of Quantitative Data Analysis depending on the extent of their prior statistics training. This module is designed to extend students' skills by equipping them with a range of advanced quantitative methods and associated statistical techniques that are used in research in psychology and closely related social science disciplines. This will help students to develop a broader and more advanced analytical skillset which enables a greater flexibility in how they can approach research datasets. These skills will be very good preparation for using quantitative techniques in doctoral research, professional psychology training, and/or careers that use data analysis (e.g., research, social statistics), enhancing students' employability in these sectors. This module is a suitable option for students who already have a good grounding in statistics from their undergraduate/prior studies, as this module assumes familiarity with basic statistical concepts and mainstream tests such as ANOVA and regression. Students who do NOT have a strong grounding in statistics from their prior studies should instead choose PSYM188 Fundamentals of Quantitative Data Analysis.

This course is a lab-based, practical introduction designed for students with little or no prior experience in statistics. It focuses on developing foundational skills in data analysis using the freely available jamovi software, alongside an understanding of the underlying concepts. Students with more advanced statistical knowledge should consider PSYM187 - Advanced Quantitative Data Analysis instead.

his module provides students with an understanding of core theories and concepts in health psychology, and the skills and methods used to translate, and reflect on the translation of, health psychology into real-world contemporary health behaviour contexts. The module thus covers transferrable skills useful for a career in health psychology research and practice. Students will also gain an awareness of professional issues in behavioural health psychology. We will encourage students to think reflexively on how to apply professional and transferrable skills in the context of different issues that impact contemporary health psychology. The module has been designed in accordance with requirements (stage 1) of the British Psychological Society's Division of Health Psychology accreditation criteria. This module addresses the following curriculum areas of a British Psychological Society accredited degree: professional issues, core skills, contexts and perspectives in health psychology, health-related behaviors and cognitions, interventions and healthcare and professional settings. This module will help students to learn to think critically and reflexively about the application of health psychology theories, concepts, methods and skills within different contemporary health behaviour domains.

This module seeks to contextualise behaviour change science, policy and practice. Students are introduced to the policy-making process, how behaviour change strategies are designed, implemented and evaluated among the general public, and the political philosophy of behaviour change science, practice, and policy-making. We critically discuss applied case studies of policy initiatives that have drawn on behavioural science theories and evidence, and external influences, such as the political environment, that can cause policy to deviate from theory or evidence. The module helps students to recognise the tacit assumptions that are made when attempting to change behaviour ‘for the greater good’, and the challenges and counterarguments that often limit the acceptability, feasibility or effectiveness of implementing behaviour change strategies in real-world settings. An overarching purpose of the module is to encourage students to move outside of the academic context and see the ‘bigger picture’ regarding the role of behavioural science and practice for tackling pressing problems in modern societies.

Advances in digital technology are relevant to behaviour change research and practice in three ways: helping behavioural scientists to develop a more sophisticated understanding of human behaviour, enhancing the design and delivery of behaviour change interventions, and shaping everyday behaviours in its own right. This module seeks to explore the contribution that digital tech has made, and continues to make, to understanding and changing behaviour. Students will be introduced to cutting-edge research and practice across a range of tech domains, such as machine learning, Big Data, digital addiction, and digital behaviour change applications. Students will be introduced to a range of disciplinary perspectives, theories and concepts relating to digital technology, and will develop the skills and knowledge required to apply these to behaviour change research and intervention contexts for maximum effectiveness.

It is a requirement of the University that taught postgraduate programmes include a dissertation and/or major project module. For this module, students will conduct their own piece of empirical research in an area relevant to their Masters course under the supervision of a member of the academic staff. For the assessment, students will write either a qualitative or mixed-method research report of a comparable length to a published single-study journal article.Overall student workload: 600 hoursThis includes 12 hours of tutor supervision. These hours will include development of theoretical framework, aims and hypotheses, recruiting samples, fieldwork and liaison with key personnel as appropriate, data recording and analysis, interpretation and writing up. Specific times for these subsections cannot be given as they vary from project to project.