Advanced Quantitative Methods
Mathematical Sciences (Faculty of Science and Engineering) and Centre for Health Technology (Faculty of Health)
Mathematical Sciences (Faculty of Science and Engineering) and Centre for Health Technology (Faculty of Health)
The Advanced Quantitative Methods (AQM) pathway is for social science researchers who wish to learn and develop advanced quantitative methods and apply them to answer substantive questions from their discipline. It is also well-suited for statistically trained researchers whose interests are more methodological. You will be part of an interdisciplinary research group interested in the development and application of advanced quantitative methods to address research questions in social sciences. Projects may involve applying statistical methods to address social science problems or developing novel statistical methods for analysing social-science data.
The AQM pathway at the Âé¶¹´«Ã½ is part of the Economic and Social Research Council (ESRC) , offering opportunities for funded PhD studentships. 
Research in AQM at Âé¶¹´«Ã½ is carried out in various research clusters, including the 
  Centre for Health Technology
 , 
  Mathematical Sciences
  and 
  Big Data
 . Joining this pathway, you will benefit from insights from a number of disciplines and research groups, including data science, business, health, psychology, mathematics and statistics.
Successful applicants will be part of a large, vibrant, highly collaborative community of PhD students with good interdisciplinary links, providing opportunities for research, training and collaboration.