Overview
Contacts
Admission requirements
Learning outcomes
Acquire an understanding of the breadth and depth of the mathematical sciences and of one further discipline.
Apply quantitative principles, concepts and methods in discipline-specific and interdisciplinary contexts.
Apply discipline-specific principles, concepts and techniques to solve practical and abstract problems, and critically appraise the generality and limits of the approach.
Formulate quantitative models and descriptions for scientific, natural or technological phenomena or processes.
Identify and apply suitable numerical methods for the study of processes or problems, and use appropriate software to implement computational analyses.
Communicate discipline knowledge 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.
Construct logical, clearly presented and justified arguments incorporating deductive reasoning.