In the course of this programme students will develop programme-specific skills. On completing the programme students should be able to demonstrate the graduate attributes outlined below.
- Demonstrate original thought
- Construct a coherent argument or debate by demonstrating logical processing of (complex) information and deductive reasoning
- Apply critical analysis, evaluation and synthesis to solve complex problems
- Test hypotheses, theories, methods and evidence within their proper contexts
- Reason from the particular to the general
- Identify relevant techniques and concepts to solve advanced and complex problems
- Demonstrate use of an appropriate range of resources to the task at hand
- Evaluate relevant best practices for the task at hand
- Engage directly with current research, developments and skills in the discipline
- Engage with primary and secondary material and differentiate between them
- Demonstrate active learning
- Demonstrate reflective learning, including the ability to engage with and learn from feedback
- Demonstrate creativity and curiosity
- Demonstrate independence of thought and reasoning
- Demonstrate skills in time management, self-discipline and self-motivation
- Demonstrate skills in close textual and comparative analysis
- Demonstrate skills in close analysis of visual material
- Demonstrate advanced IT skills
- Demonstrate quantitative and qualitative methods of analysis
- Demonstrate expertise in the use of statistical software packages for recording, manipulation and analysis of data
- Convey statistical results and methods in a manner understandable to the lay-person via written or oral reports
- Work independently
- Work as part of a team
- Communicate with clarity and accuracy, orally (including presentation) and in writing
- Engage with the views and opinions of others
- Present work and findings in a professional manner, with attention to detail
- Learn and use research skills