Advanced Data AnalysisCity University London
Preço a consultar
- Bachelor's degree
- Islington (Reino Unido)
O que se aprende nesse curso?
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 linkCourse Information Start Date Cost Course Code Apply Friday 27 January 2017 Home / EU - £1,000 HRM003 Apply Now For additional dates please register your interest Home / EU - £1,000 HRM003 Register Interest Eligibility
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.English Requirements
For those students whose first language is not English, the following qualification is also required:
- IELTS: 7.0
Please note that due to changes in the UKVI's list of SELTs we are no longer able to accept TOEFL as evidence of English language for students who require a CAS as of April 2014.Application Deadline: