This course has a specialist focus on advanced methods for the systematic review of research, also known as evidence syntheses, and explores how research is combined with professional and community knowledge to support policy decision-making by governments and other national and international organisations around the world. The course offers students the opportunity to conduct systematic reviews of both qualitative and quantitative data, with an emphasis on the challenges and innovations in evidence synthesis, including the use of AI and machine learning tools.
Students learn from an interdisciplinary team of research-active tutors based at UCL’s EPPI Centre, all with specialist expertise across a range of policy areas. The MSc can be taken on campus or through distance learning (not all methods modules), full-time (1 year), part time (2 years) or flexible (between 2 and 5 years). International students on a student visa must study full-time and on campus.
For more details, including how to apply, please see the UCL prospectus page, and/or contact Specialist Route Lead, Professor Sandy Oliver: sandy.oliver@ucl.ac.uk.
This course explores contemporary social problems, policy intervention, and policymaking processes across different sectors and countries, combined with rigorous training in traditional and innovative research methodologies which also include these modules: Digital Technologies for Research Evidence Synthesis (Term 1) and Systematic Reviews for Policy: Taking a Complexity Perspective required in the study of social policy (Term 2). A key course them is learning about the relationship between methods and policy.
For more details, including how to apply, please see the UCL prospectus page, and/or contact Programme Director, Dr Meena Khatwa: m.khatwa@ucl.ac.uk.