Overview

This module provides the opportunity to work closely with, and be supported by, an expert member of staff on a one-to-one or small group basis to help develop your ideas. You will be supported to advance your understanding of the current knowledge base in an area of interest to you, as well as your problem-solving, writing and presentation skills in preparation to be able to articulate ideas effectively to relevant parties e.g. practitioners, academics.

Assessment Strategy

-threshold - C - A satisfactory overview of relevant literature and theory to justify project rationale and hypotheses. Arguments are communicated in a superficial manner. Satisfactory application of relevant methodological approaches and proposed data analysis techniques. A basic level of understanding with regards to potential problems and possible solutions.

-good -B - A very good critique of relevant literature and theory to justify project rationale and hypotheses. Arguments are communicated clearly and concisely. Very good application of relevant methodological approaches and proposed data analysis techniques. Very good understanding with regards to potential problems and possible solutions.

-excellent -A - Comprehensive critique of relevant literature and theory to justify project rationale and hypotheses. Arguments are communicated clearly and concisely. Excellent application of relevant methodological approaches and proposed data analysis techniques. A high level of understanding with regards to potential problems and possible solutions.

Learning Outcomes

• Critically appraise ideas and empirical findings in order to formulate research hypotheses that address a chosen research question.

• Demonstrate a range of communication skills appropriate to the outcomes of postgraduate study, including the production of a verbal proposal presentation and written proposal.

• Develop and propose an appropriate methodological approach in line with your research question.

• Provide evidence of a critical and analytical approach to how scientific data might be collected, organised and interpreted.