Mathematics with Economics
(MMath) Mathematics with Economics
Entry for 2025
FHEQ level
This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.
Course Aims
The Mathematics with Economics (MMath) degree programme aims to provide:
* teaching in the mathematical sciences that is advanced and broad-based and, where appropriate, informed by a research base of international standard; training that develops their interest in the discipline of economics through a curriculum supported by scholarship, staff development and a research culture that promotes breadth and depth of intellectual enquiry and debate;
* a programme structure which allows transfer between certain programmes at appropriate stages, and a guided choice of courses to meet students' developing interests;
* coherent sets of courses in both disciplines, grouped for intellectual and vocational reasons, based on a mathematics and statistics core building progressively on advanced skills and knowledge acquired during the programme; as befits a Minor component, the economics is a coherent part of the core economics programme for a Major in Economics in the first two years. This background will prepare students for the final year courses from the Management studies programme.
* an admissions policy which gives access to students with special needs and to mature and other prospective students who may have unconventional academic backgrounds;
* a sound preparation for further training and research and for a career requiring advanced mathematical or statistical knowledge and understanding;
* provision for students to develop personal, transferable and intellectual skills, enabling them to think analytically, express themselves clearly, work independently, meet deadlines, and compete successfully on the employment market; subject-specific skills appropriate to the level and extent of their programme that enable them to access, analyse and appraise economic theories and related evidence.
* a caring and supportive environment for students from a diversity of cultures and backgrounds.
Course learning outcomes
Knowledge and Understanding: By the end of the programme a successful student is expected to be able to: demonstrate in depth knowledge and understanding of a core of analysis, algebra, applied mathematics, probability and statistics, much of which is at (or is informed by) the forefront of the discipline; demonstrate knowledge and understanding of advanced topics, depending on his or her own choice.
Knowledge and Understanding: By the end of the programme a successful student is expected to be able to: demonstrate knowledge of the core principles of economics as well as knowledge and understanding of advanced topics in economics; demonstrated a knowledge of quantitative techniques appropriate to the study of economics.
Intellectual Skill: By the end of the programme a successful student is expected to be able to: demonstrate ability to understand and use mathematical arguments and deductive reasoning; demonstrate awareness of the importance of mathematical and statistical assumptions and awareness of their use.
Intellectual Skill: By the end of the programme a successful student is expected to be able to understand and critically evaluate current research and, where appropriate, to suggest new ideas.
Practical Skills: By the end of the programme a successful student is expected to be able to: demonstrate competence in the use of mathematical methods and techniques in problem solving and modelling, in particular in economics; explore and solve advanced mathematical problems, by selecting appropriate techniques; demonstrate knowledge and understanding of the process of mathematical or statistical modelling; exhibit advanced skills of numeracy, involving use of quantitative concepts and arguments, where appropriate, at all stages of work.
Transferable Skills: By the end of the programme a successful student is expected to be able to: communicate scientific information effectively, orally and in writing; work and learn independently, including taking responsibility for their own learning, time-management and organisation.
Transferable Skills: By the end of the programme a successful student is expected to be able to: take decisions in complex and unpredictable contexts; apply a range of mathematical, computational, numerical and statistical skills.
Full-time course composition
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.