Overview
Contacts
Structure
24 credit points
Admission requirements
Learning outcomes
Acquire an understanding of the breadth and depth of the mathematical sciences, and advanced knowledge of the principles, concepts and methods of Mathematics or Statistics
Construct logical, clearly presented and justified arguments incorporating deductive reasoning
Apply mathematical or statistical principles, concepts and techniques to solve practical and abstract problems, and critically appraise the generality and limits of the solution
Formulate mathematical or statistical models for scientific, natural or technological phenomena or processes
Identify and apply suitable numerical methods for the study of mathematical or statistical processes or problems, and use appropriate software to implement computational analyses in the context of mathematics or statistics
Communicate mathematical or statistical matters effectively and accurately to technical and non-technical audiences in oral or written form in ways that conform to professional standards
Develop effective and respectful teamwork skills with an ability to respond to a diverse range of perspectives and contexts, and the skill to work independently with responsibility for set tasks
Use self-guided learning to tackle problems beyond the current level of knowledge or the current level of problem solving ability
Demonstrate behaviour that conforms to ethical and professional standards in dealing with quantitative data, results and methods, and their dissemination and application in real-world situations