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
Design, carry out, and analyse the results of relevant experiment/practical work
Create and use mathematical models of physical situations
Identify simple models and intuitive understanding of complex systems