Course overview

This module provides the tools necessary for carrying out independent research. Covering qualitative and qualitative statistical methods for analyzing data, the module builds towards participants identifying a suitable dissertation topic. The participant will be taught to evaluate existing research published in a range of different sources and evaluate the different knowledge exchange mechanisms that are appropriate to the audience.

This module is compulsory for anyone intending to undertake a full MSc or who has been accepted for a research degree (Research Masters or Professional Doctorate). It runs twice a year for five months. The additional length of the module is to allow you the time to work with your supervisor in developing the research proposal for your MSc, MRes or Doctoral research. 

Key facts file

Course Dates:

January 2019

Title: Research Methods (Aberystwyth)
Type/Duration:

14 weeks

Entry Requirements:

Graduate level or relevant experience

Credits: 20
Cost: £750.00
CQFW Level: 7
Course Provider: Aberystwyth University
Provider Reference Number:

BDM0120

Course Arrangements: Full joining instructions will be confirmed by the course provider.
Course Location: Aberystwyth University, Online
Course Logistics:

online distance learning

Tutors:

Neil Mackintosh

 

 

Learning outcomes

On successful completion of this module participants should be able to:

  • Apply statistical knowledge in the context of postgraduate research.
  • Identify appropriate methods for different types of data.
  • Analyse and interpret the results from a range of different statistical analyses.
  • Generate appropriate research hypotheses and research objectives.
  • Assimilate and synthesise information from published research and databases.
  • Clearly describe and communicate research findings.

 

Additional Course Information

The aim of this module is to provide training relevant to assessments within other modules, including the Masters' dissertation. The module will cover the following principal areas:

Statistics

  • T-tests, ANOVA, post-hoc significance tests, data handling and presentation Correlation/Regression and Non-parametric tests.
  • Participants will choose a further three sub-units from the following subject areas:

Multifactorial ANOVA, repeated measures/split-plot ANOVA, Multivariate Analysis of Variance (MANOVA), principal component analysis, canonical variate analysis (CVA), discriminant function analysis (DFA),
survey/questionnaire design and analysis, introduction to R.

Research skills

The nature of research and the research process

  • Evaluation of quantitative and qualitative research
  • Assessment of published research
  • Scientific writing and the production of a postgraduate dissertation

Meet the Academic Staff *

Dr. Neil Mackintosh
Lecturer in Animal Science
Aberystwyth University
* Course delivery staff may be subject to change at short notice.
My AFTP training course has given me greater confidence day-to-day and more insight into the impact of new techniques and technologies.
Andy Russell - Fresh Produce Technologist, Bakkavor

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