This course aims to provide behavioural and social science graduates with high-quality training in quantitative research methods and statistics, which advances on their undergraduate-level training and is tailored to their future doctoral research training needs. It also aims to provide academic staff and other professionals with a platform to undertake certified training in a specialised skill-set, which is necessary to facilitate the testing of specific research questions via the collection, sourcing and analysis of quantitative data, for the production of high-quality, high-impact research outputs.
This new blended-learning PgCert in Quantitative Methods for the Behavioural and Social Sciences has been designed by experienced quantitative research staff in the School of Psychology, based within the Faculty of Life and Health Sciences, at Ulster University. Targeted primarily at prospective PhD applicants who seek focussed and condensed quantitative analysis and methodology skills training; academics who seek flexible and accessible training to become both research literate and active; and researchers who seek expert guidance and training to enhance their quantitative analytic and methodological knowledge and skill, the course is a timely addition to the postgraduate training portfolio of UU. The course offers certified training in a specialised skill-set necessary (i) to design and conduct research studies using quantitative methodologies, (ii) to manipulate and analyse primary and secondary sources of quantitative data appropriately, and (iii) to present resulting research findings in the form of high-quality research outputs. The blended-learning mode of delivery (Coleraine) will offer students the freedom and flexibility to study for a postgraduate award in their own time and at their own pace, whilst also offering expert face-to-face support and guidance to master aspects of methods and statistics training that are traditionally recognised to be challenging for the novice researcher/analyst.
Teaching and learning assessment
Teaching will involve a combination of on-campus teaching blocks (comprising lectures and practical computing and statistics workshops), as well as online lectures, seminars/interactive sessions and practicalexercises. Students will be expected to engage with the material presented, contribute to discussion boards, and will be encouraged to consolidate their skills as independent learners.