Our websites use cookies (session, persistent, third party, advertising and performance) to improve your experience and for targeted advertising. To find out more and learn how to disable these cookies, please see our cookies policy

Professional Development

Tel: +44 (0)117 3281158, Option 1 for PD
followed by option: 1 for CHSS, 2 for CBAL or 3 for CATE

You can view, apply for and review your professional development courses here.

Research Methods


Course Details


Course/Module Code

UFMFGV-15-M

Fees

Course Dates

Select course date below to see all attendance days and to apply.
If no course dates are shown below this could be due to high demand or no availability. If your course is being funded by your employer and they have bought places in advance you will need to contact them to be given the links to apply.


Applications

University

Assessment

Assessment for this module comprises a two-hour examination and a written assignment.

Campus

Frenchay

Careers/further study

This module can contribute towards the MSc Health Technology.

Content

The module syllabus typically includes the following:

  • Advanced modelling techniques
  • Binary, ordinal and nominal logistic regression models: application, theoretical underpinning, model diagnostics
  • Discriminant analysis: applications and interpretation, theoretical underpinning, model diagnostics
  • Multivariate analysis of variance
  • Survival analysis
  • Biomedical research techniques
  • Industrial studies
  • Meta-analysis
  • Research governance
     

Course Director

Dr Adedayo Adeleke

Introduction

This 15 credit module, Research Methods, is designed for those who are eager to explore research, applied statistics and quantitative analysis. The module has a focus on quantitative research methods. It is designed for those who are research active or aiming to be research active, in any part of the NHS/UK health providers including those with keen interests in health technology. It covers core material for those working or aiming to work in health provision. 

The statisticians on the module are applied statisticians by education, training, qualification and experience. Similar subject knowledge experts deliver the qualitative components, systematic review training, and in research ethics. 

This module is ideal for anyone looking to strengthen their foundation in research methods and quantitative analysis, preparing you for real-world applications across various industries. You will be able to discover how to make data-driven decisions and enhance your research skills with practical statistical techniques.

On successful completion of this module, you will be able to:

  • apply advanced statistical techniques in empirical research using modern day software
  • evaluate model diagnostics to inform empirical model building
  • interpret and explain a wide variety of empirical statistical models in different context (own analyses or research papers) 
  • evaluate the role played by statistical design in medicine and industry
  • apply appropriate research governance that is particular to any research project.

Learning and Teaching

The statisticians on this module are applied statisticians by education, training, qualification and experience.  Similar subject knowledge experts deliver the qualitative components, systematic review training, and in research ethics.  

This module will be delivered in discrete sections, following the subject areas outlined in the syllabus. Each topic area will be introduced with underpinning lectures followed by a series of tutorials where extensive use of case studies will be made.

Tutorials will use indicative lists of questions to guide your learning. It is expected that the tutorial work will be completed before the tutorial. 

Study facilities

Find out more about the facilities and resources UWE Bristol has to offer.

Take a personalised virtual tour of the Computing and Creative Technologies facilities and experience what a typical day could look like here for you.

Telephone

+44 (0)117 32 81158

Title

15 credit level 7 module


Click here to ask us a question about this course. Please include your full name with your question. If required, please let us know if you want us to add you to the future dates mailing list. Alternatively you may email us directly at pd@uwe.ac.uk


Enquire

To view all CPD courses offered by UWE Bristol, please select (click on) the box below

View courses