Bachelor of Science [B.S] [Computer Science and Economics] From University of St Andrews

This programme will involve study of Computer Science and Economics at an advanced, research-led level in which students will gain an understanding of how knowledge is created, advanced and renewed. The programme will encourage in all students a desire to pursue independent learning with curiosity, integrity, accuracy and intellectual rigour.

In the course of this programme students will develop programme-specific skills.

• 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 quantitative and qualitative methods of analysis
• 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
• Demonstrate advanced IT skills
• 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