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Psychological Research Methods with Data Science
School of Psychology,
Faculty of Science
Course description
Bringing together practical training in the latest research techniques with computational data analysis classes, this course has been developed to enable psychology students to make the transition to becoming data scientists.
We'll train you in the most commonly applied quantitative methods including multilevel modelling, factor analysis, and structural equation modelling, as well as the skills of when to apply such techniques and how to interpret the output.
Our leading psychologists, your teachers, have extensive experience of handling large data sets to answer pressing problems in psychology and they will lead your computational data analysis training and aid your transition to data science. Throughout your course, we'll teach you the skills you need and give you the opportunities to apply them to the area of psychology that you're interested in: from cognitive and developmental, to social and clinical psychology.
Alongside your data science training you'll learn a broad range of research techniques such as neuroimaging (EEG, fMRI), behavioural genetics, clinical trial design, qualitative interview, diary study methodologies and specialist methods for working with infants, children and clinical populations. You'll also begin training in a range of skills that are important for data scientists in academia and professional roles: you'll understand ethical issues and the implications of using data to predict and influence human behaviour, learn how to write a grant proposal, and develop your presentation skills ready to take part in our summer postgraduate students' conference.
The research project and literature review elements of the course, which include coverage of meta-analysis, give you the opportunity to focus on a chosen psychological research question in detail under the supervision of one of our world-class researchers. You can choose a supervisor from an area of psychology that matches your research interests and future career aspirations within cognitive, developmental, social or clinical psychology.
This project gives you the opportunity to put your new data science and research methods knowledge into practice while addressing an issue at the cutting edge of psychological research. MSc research projects often form the basis of publications in peer-reviewed journals.
- Example research projects
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- Multilevel modelling of therapeutic change trajectories within clinical service delivery
- The effects of food advertising through advergames on children’s eating behaviour – exploring children’s understanding of advertising as a moderator
- Using Social Identity Theory to explore predictors of affirmative action support: the indirect effect of policy maker prototypicality.
- Example student publications
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- Vaci, N., Stafford, T., Ren, Y., & Habgood, J. (2024). Proceedings of the Annual Meeting of the Cognitive Science Society, 46(0).
- Simmonds-Buckley, M., Osivwemu, E. O., Kellett, S., & Taylor, C. (2022). . Clinical Psychology Review, 96, 102187.
- Griffin, B., Conner, M., & Norman, P. (2022). . Social Science & Medicine, 298, 114819.
- Tait, J., Edmeade, L., & Delgadillo, J. (2022). Psychology and Psychotherapy: Theory, Research and Practice, 95, 98–112.
Psychological Research Methods at 91̽»¨
In addition to Psychological Research Methods with Data Science, at 91̽»¨ we offer two other specialist masters courses in this area that allow you to specialise further and develop the skills you need for a successful career:
Modules
Core modules:
- Research Project in Psychological Research Methods with Data Science
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The module allows students to conduct, analyse, and write up a research project under the guidance of an academic supervisor. Students gain first-hand practical experience of managing the research process, from the formulation of a specific research question on the basis of a review of relevant literature and guidance from the supervisor, to the design, execution, analysis, and report of a study. Projects typically involve the management, analysis, and visualisation of scientific datasets, through the use of current techniques in data science. Projects are written up in the standard format for submission to an appropriate academic journal.
60 credits - Intermediate Multivariate Statistics for Psychology
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This module covers the intermediate level statistical techniques needed in psychology. Lectures will be used to teach the rationale behind hypothesis testing and describe the principles behind techniques such as linear regression, including testing for mediation and moderation, reliability analysis and factor analysis. Students will also attend practical classes in order to apply and develop their knowledge with respect to selecting the appropriate analytic technique, interpreting output, and applying critical thinking to the results.
15 credits - Research Methods
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This course provides coverage of both quantitative and qualitative methods for psychology graduates. It emphasises the relationship between the research question being addressed and choice of method of data collection. The course combines lectures and tutorials to help students develop critical awareness of the conceptual basis of various methods, their advantages and limitations. Topics may change from year to year depending on staff availability but include: diary methods and experience sampling, eye tracking, EEG methods, fMRI, questionnaire design and behavioural genetics. This module will help in the integration of knowledge from different strands of Psychology, and how to think analytically, critically and logically. It will provide essential preparation for being able to critically evaluate scientific literature from broad fields of psychology. It will also enhance students' transferable skills in critical thinking, and skills necessary to present logically structured arguments.
30 credits - Current Issues in Psychological Research
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This unit describes how multiple research methods can address current debates in Psychological research. Sessions will cover a current debate and illustrate how research being conducted at the University of 91̽»¨ and further afield is contributing to and shaping these debates. Group activities and discussions, will allow students to develop a position on contemporary debates in Psychology, informed by various research methods. Individual written work will allow students to explore one of the debates in depth allowing them to weigh up evidence, take a position on the debate and make suggestions for next research steps.The module will encourage critical appraisal, collaborative discussion and individual articulation of a position on contemporary debates in Psychology.
15 credits - Advanced Statistical Methods for Psychologists
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This module covers advanced statistical techniques increasingly required in psychological research, specifically confirmatory factor analysis, structural equation modelling, multilevel modelling for both cross-sectional and longitudinal data, and generalised linear models. Lectures will be used to teach the rationale and principles behind these techniques, with practical sessions offering the opportunity to apply and develop students' knowledge. The course will use the statistical environment R.
15 credits - Data Analysis and Visualisation
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This module provides basic skills in computational data analysis. Students will learn how to import/export scientific data sets in different formats, how to process and transform them, and how to visualise results. Teaching will be hands-on and computer lab-based. Teaching will focus on the programming language R and associated scientific software. No prior programming experience will be necessary.
15 credits - Systematically Reviewing Psychological Research
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This module provides training in the advanced use of information retrieval and literature searching resources, such as Web of Knowledge and Google Scholar. Students will also be introduced to the different types of literature reviews that are commonly used to review psychological research, including narrative, systematic and meta-analytic reviews. In addition, students will be taught the use of a reference manager to organise and present references according to different journal styles. Students will be required to write a literature review of psychological research - the precise topic and journal styles will be agreed with the supervisor and module organiser.
30 credits
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.
Open days
An open day gives you the best opportunity to hear first-hand from our current students and staff about our courses.
Duration
- 1 year full-time
- 2 years part-time
Teaching
You’ll learn through small-group teaching in a mixture of seminars, workshops and one-to-one supervision.
Your individual research project is the biggest part of the course. Here you’ll gain first-hand experience as a researcher, and will have access to the outstanding research facilities offered in 91̽»¨.
You'll be partnered with a dedicated academic mentor who will provide guidance and oversee your work. This involves weekly meetings with your supervisor, fostering a platform for in-depth discussions surrounding your independent exploration of the research question.
For part-time students, the engagement with the research project and systematic review assignment takes place in the second year of the program, giving a structured and paced approach to your academic work.
Assessment
All assessment is coursework-based. Regular feedback is provided, so students can understand their own development throughout the course.
Your career
Demand is growing for Data Scientists. With practical skills in data handling and interpretation, coupled with an understanding of the ethical implications of using data to predict and influence human behaviour, you'll be readfy to pursue an exciting career in a range of industries, including:
- Government and the Civil Service, working on services that millions of people use every day;
- Large technology and social media companies, interpreting marketing research to build customer insight;
- Higher education conducting scientific research;
- Finance or banking, building bespoke customer solutions.
If you choose to continue your research training, you’ll be well equipped to pursue a PhD.
Learn more about where your psychology masters could take you here.
By choosing the School of Psychology for your postgraduate study, you'll join our global alumni network, where hundreds of our employed graduates are working across academia, healthcare, and related fields, and completing further study around the world. Explore our interactive map of graduate destinations:
School
School of Psychology
The School of Psychology at 91̽»¨ is focused on exploring the science behind the human brain and human behaviour.
Our teaching is informed by cutting-edge scientific research, which ranges from cognitive and neural processes across the lifespan to the wellbeing of individuals and society. All of this has an impact on the population.
Our work explores child development, psychological therapies, health and wellbeing, lifestyle choices, cognitive behavioural therapy, safe driving, mother-baby interaction, autism, Parkinson's disease, and reducing prejudice and inequality. It’s research like this that our students are able to get involved in throughout their course.
Facilities
At 91̽»¨, we have a range of practical teaching and research facilities where you can get hands-on, applying the knowledge you’ve gained in your masters.
For your statistical training, we have computer labs where you can access industry standard statistical analysis software SPSS, computational modelling software MATLAB, as well as flexible programming languages Python and R.
You’ll also have the chance to access a range of tools for testing participants during your research projects. Depending on your project, these may include eye-tracking technology used in perception studies, TMS and TDCS equipment for experiments involving brain stimulation, and our state-of-the-art EEG suite for measuring brain activity. Individual and group testing rooms are also available.
Entry requirements
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Subject requirements
We accept degrees in the following subject areas:
- Experimental Psychology
- Psychology
- Psychology with Research Methods
- Quantitative Psychology
We may be able to consider degrees relating to Statistics for Psychology.
Module requirements
You should have studied at least one module from the following areas:
- Advanced Research Methods in Psychology
- Data Analysis in Psychology
- Experimental Design
- Psychology of Research
- Quantitative Research Methods
- Research Ethics in Psychology
- Research Methods in Psychology
- Research Skills for Psychology
- Scientific Writing for Psychology
- Statistics for Psychology
English language requirements
IELTS 6.5 (with 6 in each component) or University equivalent
If you have any questions about entry requirements, please contact the school/department.
Fees and funding
Alumni discount
Save up to £2,500 on your course fees
Are you a 91̽»¨ graduate? You could save up to £2,500 on your postgraduate taught course fees, subject to eligibility.
Apply
You can apply now using our Postgraduate Online Application Form. It's a quick and easy process.
Contact
study@sheffield.ac.uk
+44 114 222 6533
Any supervisors and research areas listed are indicative and may change before the start of the course.
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