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In this module we will introduce a number of advanced and multivariate data analysis methods and lead you through their background, rationale, practical application and interpretation, using step by step explanations. Knowledge of these will help you understand, evaluate and draw informed conclusions from the complex analyses of other researchers, address how you will utilise the data in projects you design and to encourage you to analyse existing datasets in alternative ways.
Upon successful completion of the module, you should be able to use a suite of methods, as well as specialised software for analysis of common multivariate data scenarios.
To view more information about this module and the programme of which it comes under, please use the following link
FEB: Friday 1, 8, 15, 22 February 2019
MAR: Friday 1, 15, 22, 29 March 2019
APR: Friday 5, 12 April 2019
Module Submission Date: Friday 10 May 2019
Non EEA students can only apply as part of a programme, not as a stand-alone module.
You will be required to have completed the HRM001 Introduction to Research Methods and Data Analyses Module prior to taking this module and will be expected to undertake the HRM002 Advanced Research Methods in parallel to this course.
A first degree in a medical/health or social sciences discipline is required (minimum 2:1 honours degree, 3.0 GPA or an equivalent international degree).
Applicants with equivalent qualifications or substantial experience in health services will also be considered on an individual basis.
Dr Charitini Stavropoulou joined City University in September 2014 as a Senior Lecturer in Health Management, in the School of Health Sciences.
Prior to joining City University Charitini has held teaching and research positions at the University of Surrey and Imperial College Business School. She has an MSc in ...