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Master of Mathematics - MMath
Main Site
Full Time
Sep 2027
4 Year
Mathematics is a fundamental subject that is critical to our understanding of the world. Through the study of mathematics you’ll advance your problem solving skills, develop your reasoning and increase your analytical thinking. Mathematical models underpin engineering, the applied sciences, computing and many aspects of management today. With the MMath you’ll study for a further year and bring your BSc degree to master’s standard. This means you’ll be able to get that competitive edge when you apply for jobs without having to go through the application process again after Level 3. You’ll study many aspects of pure and applied mathematics, together with general concepts of mathematical modelling. When it comes to the application of mathematics, we cover finance, statistics, operational research (how maths can be applied to commercial and industrial problems), numerical analysis (the approximate solution of very hard problems) and mechanics. In your final year you’ll be able to specialise in areas of mathematics that you’re particularly interested in. You’ll produce a substantial research project under the guidance of a tutor in Level 3 and have the opportunity to build upon this as a MMath student. Follow the five-year ‘Professional Placement’ degree programme and you‘ll benefit from our extensive experience in helping students to find well-paid work placements with blue-chip companies. Our sandwich students find that their mathematical and transferable skills are in demand in many sectors, both in the UK and abroad. Areas recently offering placements include: accountancy, aviation, banking, defence, finance, insurance, IT (software development, network management and design), management (public and private sector), marketing and telecommunications. This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.
Basic results, techniques and elementary functions of differential and integral calculus; rigorous definitions and proofs and solution techniques of first order differential equations.
Further develops skills in differential and integral calculus and associated applications.
Developing a facility for mathematical modelling by examining a problem, extracting principal features, formulating and solving models and interpreting the results.
Second of a pair of modules furthering a facility for mathematical modelling and interpreting results in terms of the original problems.
Manipulating mathematical expressions and using formulae; summation notation, fundamental results, rigour in definitions and proofs and the language of formal mathematics.
Basic linear algebra and the algebra of complex numbers; eigenvalues and eigenvectors, similar matrices and diagonalization and applications.
Key notions of mathematical probability and techniques for calculating with probabilities and expectations; elementary statistical concepts and extracting meaning from data.
Single and multivariable probability; statistical tools for extracting and inferring meaning from data, sampling and inference, confidence intervals and hypothesis tests.
Ideas and methods of multivariable calculus: Taylor series, extrema, Lagrange multipliers and integration of functions of several variables.
Graph theory and its real-world applications; operational research optimisation modelling, linear programming and algorithms for numerical optimisation.
Enlarges the tools of linear algebra and its applications; basic algebraic structures concentrating on group theory and their relevance in real-life applications.
Foundational principles of machine learning with mathematical underpinning and software; the role of ML in AI, regression vs classification and a prediction machine.
Continuous and multivariate probability; statistical concepts and applications, confidence intervals and hypothesis tests applied using software.
Skills for planning and obtaining employment and applying techniques, methods, algorithms and theories to an applied problem cognate to the degree.
Manipulating expressions involving complex quantities; analytic functions with contour integrals and series and evaluating definite integrals using contour integration.
Independent learning and critical thinking; planning and executing a major piece of work and written communication of complex ideas.
The mathematics of differential equations; techniques of analysing such equations and methods of solving them exactly or approximately.
A two-term project developing a topic in advanced mathematics; favouring theoretical depth, working mostly independently using the literature with supervisor advice.
Knowledge and critical awareness of a variety of research methods; critical thinking and transferable skills, the needs of industry and commerce and preparation for the dissertation.
BBB-ABB Grades/points required
Not currently available, please Contact University for up to date information.
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