MMath Master of Mathematics
 ALevel typical
 AAB (2020/1 entry) See All Requirements
About this course
Our fouryear integrated Masters course is ideal if you want to take your studies to the next level and prepare to work in academia or research. Going into greater depth than our threeyear BSc programme, it’s a flexible course that allows you to specialise in either pure or applied mathematics, or a combination of the two.
In your final year you’ll take on a substantial research project. This will give you experience in independent study and help develop key career skills such as report writing and oral presentation. So you’ll not only graduate with a deep understanding of mathematics, but with great career prospects too.
At UEA you’ll also benefit from internationally recognised, researchled teaching and a high academic staff to student ratio. Lectures are complemented by small group teaching in your first year and regular workshops in later years, ensuring you get quality contact time with our worldclass lecturers.
In your final year you’ll take on a substantial research project. This will give you experience in independent study and help develop key career skills such as report writing and oral presentation. So you’ll not only graduate with a deep understanding of mathematics, but with great career prospects too.
At UEA you’ll also benefit from internationally recognised, researchled teaching and a high academic staff to student ratio. Lectures are complemented by small group teaching in your first year and regular workshops in later years, ensuring you get quality contact time with our worldclass lecturers.
Course Profile
Overview
Our prestigious fouryear Master of Mathematics degree programme will allow you to delve deeper and really develop your interests in pure and applied mathematics.
Our flexible course format will enable you to decide whether you want to focus on pure mathematics, applied mathematics, or a combination of the two. And â€“ as well as engaging in the study of essential mathematical theory and technique â€“ youâ€™ll have the opportunity to carry out a substantial research project in your final year. The project is designed to not only allow you to experience the challenge of independent study and discovery, but to also develop skills are essential to many future careers
Complete your studies with distinction you may want to join our active group of postgraduate students, as our Masters programme is also excellent preparation for a career in research â€“ either in industry or within a university. And research is just one of the many challenging career paths open to our Master of Mathematics students.
Course Structure
The first two years of our Masters course run in parallel with our threeyear BSc programme, with more specialised content being covered in your third and fourth years. In these final two years you will learn advanced principles through a huge range of optional subjects, as well as undertaking an independent project.
Year 1
The first year will develop your skills in calculus and other topics which you may have covered at Alevel, such as mechanics and probability. Modules on computation, mathematical skills, and how to present mathematical arguments will encourage you to develop ways of tackling unfamiliar problems, while also providing an opportunity for group working. Modules on algebra and analysis will introduce important new concepts and ideas, which you will use in following years. In addition, youâ€™ll be introduced to mathematical software, which will be invaluable in your individual fourth year MMath project.
Year 2
As you progress into your second year, you will continue to learn essential algebraic principles through compulsory modules while also taking a selection of optional modules to suit your personal interests.
The optional modules on offer change each year but in previous years you could have chosen to study the theory of special relativity, take a module focusing on topology, or see how the mathematical theory youâ€™ve already studied can be applied to meteorology.
Year 3
By year three there are no compulsory modules. Instead youâ€™ll choose six modules from a range of approximately 15 that we offer.
The module topics vary each year, mirroring the research interests of our lecturers. By this stage we anticipate that you will have found the areas of mathematics that most appeal to you, and that youâ€™ll use this year to focus on these topics, laying the foundations for a successful finalyear research project.
Year 4
You will undertake a substantial individual project during your final year, working under the close supervision of a lecturer whose expertise matches your chosen topic. Each of our lecturers will propose project titles covering a wide range of current mathematical research. Some of our students choose to devise their own topics in conjunction with one of our lecturers.
Recent topics have ranged from â€śThe Mobius function of Finite Groupsâ€ť to â€śThe Aerodynamics of Golf Ballsâ€ť (a topic suggested by the student). In order to be assessed, youâ€™ll submit a written report on the project, and youâ€™ll give a short oral presentation on your findings to lecturers and fellow Masters students.
Apart from your individual project, your studies will focus on Masterâ€™slevel modules that explore topics such as Lie Algebras, fluidstructure interaction, and mathematical biology. As with years two and three, the optional modules offered in your final year usually change every year.
Teaching and Learning
You will be taught by leading mathematicians in their fields. As well as teaching, our academics are actively involved in research collaborations with colleagues throughout the world, examples from which will be used to illustrate lectures and workshops. In fact, over 87% of our mathematical sciences research outputs were judged as internationally excellent or worldleading (REF 2014), so you can be sure youâ€™ll be learning in the most uptodate of environments.
New material will usually be delivered through lectures, which are complemented by online notes and workshops, where youâ€™ll focus on working through examples, either individually or in small groups, under the guidance of lecturers and mathematical teaching assistants.
In your first year youâ€™ll have around 16 or 17 hours of timetabled classes per week, comprised of approximately eleven hours of lectures, five or six hours of workshops or computer lab classes, and one tutorial.
In tutorial groups, youâ€™ll work with your academic advisor and the same six or seven students each week. Itâ€™s great way to get to know your fellow students and your academic advisor, who will be there to guide you throughout your degree.
Contact hours are similar in your second year, but with a greater emphasis on workshops, because the best way to truly understand complex mathematical theories is to work through examples with the guidance and support of your lecturers.
In your final two years your formal contact hours will be slightly reduced as you become more independent, but there will be increased emphasis on using the office hours of your lecturers for individual feedback and guidance.
Individual Study
Your final year project will of course best exemplify your independent study but, to succeed at universitylevel mathematics, youâ€™ll need to spend at least as much time on individual study as you spend in classes and workshops throughout your four years. Working through your lecture notes and trying the exercises set will be vital to really understanding the mathematics.
We offer a wide range of feedback to our students. Each lecturer has at least two office hours available each week, giving you the chance to discuss the material in more detail or to get facetoface feedback on exercises youâ€™ve attempted.
Prior to undertaking formal coursework (which will contribute to your module mark), youâ€™ll submit answers to questions based on similar material for comments from the lecturer. The feedback you receive will then help with your coursework.
Assessment
We employ a variety of assessment methods; the method we use is determined by the module in question. They range from 100% coursework to 100% examination, with most Mathematics modules combining 80% examination and 20% coursework.
The coursework component will be made up of problems set from an example sheet, which will be handed in, marked and returned, together with the solutions. For some modules there are also programming assignments and/or class tests.
Study abroad or Placement Year
Depending on your academic progress, you may be able to transfer onto our Masters of Mathematics with a Year Abroad programme at the end of year one.
After the course
Study with us and youâ€™ll graduate with a deep understanding of mathematics â€“ and with great career prospects. The experience of previous students suggests that completing a substantial project dissertation report, and a n oral presentation, are viewed very positively by prospective employers.
You could choose to enter one of the professions traditionally associated with mathematics, such as accountancy, banking and finance, statistics and data analysis, and secondary or higher education. Or you could follow other graduates into roles in which logicalthinking and problemsolving are important capabilities. These include information technology, engineering, logistics and distribution, central or local government, as well as other business areas. Many of our graduates also choose to continue their studies by going on to a higher degree.
Career destinations
Example of careers that you could enter include:
 Secondary school teacher
 Cyber Security consultant
 Mathematical modeller in industry
 Accountant
 Data Scientist
 Actuary
Course related costs
Please see Additional Course Fees for details of other courserelated costs.
Course Modules 2019/0
Students must study the following modules for 120 credits:
Name  Code  Credits 

ALGEBRA 1 Algebra plays a key role in pure mathematics and its applications. We will provide you with a thorough introduction and develop this theory from first principles. In the first semester, you consider linear algebra and in the second semester, you move on to group theory. In the first semester, you develop the theory of matrices, mainly (though not exclusively) over the real numbers. The material covers matrix operations, linear equations, determinants, eigenvalues and eigenvectors, diagonalization and geometric aspects. You conclude with the definition of abstract vector spaces. At the heart of group theory in Semester 2 is the study of symmetry and the axiomatic development of the theory. The basic concepts are subgroups, Lagrange's theorem, factor groups, group actions and the Isomorphism Theorem.  MTHA4006Y  20 
CALCULUS AND MULTIVARIABLE CALCULUS In this module, you will explore: (a) Complex numbers. (b) Vectors. (c) Differentiation; power series. (d) Integration: applications, curve sketching, area, arclength. (e) First and secondorder, constantcoefficient ordinary differential equations. Reduction of order. Numerical solutions using MAPLE. Partial derivatives, chain rule. (f) Line integrals. Multiple integrals, including change of coordinates by Jacobians. Green's Theorem in the plane.  MTHA4008Y  30 
COMPUTATION AND MODELLING Computation and modelling are essential skills for the modern mathematician. While many applied problems are amenable to analytic methods, many require some numerical computation to complete the solution. The synthesis of these two approaches can provide deep insight into highly complex mathematical ideas. This module will introduce you to the art of mathematical modelling, and train you in the computer programming skills needed to perform numerical computations. A particular focus is classical mechanics, which describes the motion of solid bodies. Central to this is Newton's second law of motion, which states that a mass will accelerate at a rate proportional to the force imposed upon it. This leads to an ordinary differential equation to be solved for the velocity and position of the mass. In the simplest cases the solution can be constructed using analytical methods, but in more complex situations, for example motion under resistance, numerical methods may be required. Iterative methods for solving nonlinear algebraic equations are fundamental and will also be studied. Further examples drawn from pure mathematics and statistics demonstrate the power of modern computational techniques.  MTHA4007Y  20 
MATHEMATICAL SKILLS The module provides you with a thorough introduction to some systems of numbers commonly found in Mathematics: natural numbers, integers, rational numbers, modular arithmetic. It also introduces you to common set theoretic notation and terminology and a precise language in which to talk about functions. There is emphasis on precise definitions of concepts and careful proofs of results. Styles of mathematical proofs you will discuss include: proof by induction, direct proofs, proof by contradiction, contrapositive statements, equivalent statements and the role of examples and counterexamples. In addition, this unit will also provide you with an introduction to producing mathematical documents using Latex, and an introduction to solving mathematical problems computationally using both Symbolic Algebra packages and Excel.  MTHA4001A  20 
PROBABILITY Probability is the study of the chance of events occurring. It has important applications to understand the likelihood of multiple events happening together and therefore to rational decisionmaking. This module will give you an introduction to the modern theory of probability developed from the seminal works of the Russian mathematician A.N. Kolmogorov in 1930s. Kolmogorov's axiomatic theory describes the outcomes (events) of a random experiment as mathematical sets. Using set theory language you will be introduced to the concept of random variables, and consider different examples of discrete random variables (like binomial, geometric and Poisson random variables) and continuous random variables (like the normal random variable). In the last part of the module you will explore two applications of probability: reliability theory and Markov chains. Aside of the standard lectures and workshop sessions, there will be two computerlab sessions of (2 hours each) where you will apply probability theory to specific everyday life case studies. The only prerequisites for this module are a basic knowledge of set theory and of calculus that you would have acquired during the Autumn semester. If you have done probability or statistic at Alevel you will rediscover its contents now taught using a proper and more elegant mathematical formalism.  MTHA4001B  10 
REAL ANALYSIS You will explore the mathematical notion of a limit and see the precise definition of the limit of a sequence of real numbers and learn how to prove that a sequence converges to a limit. After studying limits of infinite sequences, you move on to series, which capture the notion of an infinite sum. You will then learn about limits of functions and continuity. Finally, you will learn precise definitions of differentiation and integration and see the Fundamental Theorem of Calculus.  MTHA4003Y  20 
Students must study the following modules for 80 credits:
Name  Code  Credits 

ALGEBRA We introduce groups and rings. Together with vector spaces these are the most important structures in modern algebra. At the heart of group theory in Semester I is the study of symmetry and the axiomatic development of the theory. Groups appear in many parts of mathematics. The basic concepts are subgroups, Lagrange's theorem, factor groups, group actions and the First Isomorphism Theorem. In Semester II we introduce rings, using the Integers as a model and develop the theory with many examples related to familiar concepts such as substitution and factorisation. Important examples of commutative rings are fields, domains, polynomial rings and their quotients.  MTHA5003Y  20 
ANALYSIS This module covers the standard basic theory of the complex plane. The areas covered in the first semester, (a), and the second semester, (b), are roughly the following: (a) Continuity, power series and how they represent functions for both real and complex variables, differentiation, holomorphic functions, CauchyRiemann equations, Moebius transformations. (b) Topology of the complex plane, complex integration, Cauchy and Laurent theorems, residue calculus.  MTHA5001Y  20 
DIFFERENTIAL EQUATIONS AND APPLIED METHODS (a) Ordinary Differential Equations: solution by reduction of order; variation of parameters for inhomogeneous problems; series solution and the method of Frobenius. Legendre's and Bessel's equations: Legendre polynomials, Bessel functions and their recurrence relations; Fourier series; Partial differential equations (PDEs): heat equation, wave equation, Laplace's equation; solution by separation of variables. (b) Method of characteristics for hyperbolic equations; the characteristic equations; Fourier transform and its use in solving linear PDEs; (c) Dynamical Systems: equilibrium points and their stability; the phase plane; theory and applications.  MTHA5004Y  20 
FLUID DYNAMICS  THEORY AND COMPUTATION This module introduces some of the fundamental physical concepts and mathematical theory needed to analyse the motion of a fluid, with the focus predominantly on inviscid, incompressible motions. You will examine methods for visualising flow fields, including the use of particle paths and streamlines. You will study the dynamical theory of fluid flow, taking Newton's laws of motion as its point of departure, and will discuss the fundamental set of equations comprising conservation of mass and Euler's equations. The reduction to Laplace's equation for irrotational flow is demonstrated, and Bernoulli's equation is derived as a first integral of the equation of motion. Having established the basic theory, the way is set for a broader discussion of flow dynamics.  MTHA5002Y  20 
Students will select 20  40 credits from the following modules:
Name  Code  Credits 

INTRODUCTION TO QUANTUM MECHANICS AND SPECIAL RELATIVITY This module introduces you to quantum mechanics and special relativity. In quantum mechanics focus will be on: 1. Studying systems involving very short length scales  eg structure of atoms. 2. Understanding why the ideas of classical mechanics fail to describe physical effects when subatomic particles are involved. 3. Deriving and solving the Schrodinger equation. 4. Understanding the probabilistic interpretation of the Schrodinger equation. 5. Understanding how this equation implies that certain physical quantities such as energy do not vary continuously, but can only take on discrete values. The energy levels are said to be quantized. For special relativity, the general concept of space and time drastically changes for an observer moving at speeds close to the speed of light: for example time undergoes a dilation and space a contraction. These counterintuitive phenomena are however direct consequences of physical laws. The module will also explain the basis of Special Relativity using simple mathematics and physical intuition. Important wellknown topics like inertial and noninertial frames, the Lorentz transformations, the concept of simultaneity, time dilation and Lorentz contraction, mass and energy relation will be explained. You will end with the implications of special relativity and quantum mechanics on a relativistic theory of quantum mechanics.  MTHF5030Y  20 
MATHEMATICAL STATISTICS It introduces the essential concepts of mathematical statistics deriving the necessary distribution theory as required. In consequence in addition to ideas of sampling and central limit theorem, it will cover estimation methods and hypothesistesting. Some Bayesian ideas will be also introduced.  CMP5034A  20 
TOPOLOGY AND COMPUTABILITY This module provides an introduction to two selfcontained topics which have not been seen before. Topology: This is an introduction to pointset topology, which studies spaces up to continuous deformations and thereby generalises analysis, using only basic set theory. You will begin by defining a topological space, and will then investigate notions like open and closed sets, limit points and closure, bases of a topology, continuous maps, homeomorphisms, and subspace and product topologies. Computability: This is an introduction to the theoretical foundation of computability theory. The main question we will focus on is "which functions can in principle (i.e., given unlimited resources of space and time) be computed?". The main object of study will be certain devices known as unlimited register machines (URM's). We will adopt the point of view that a function is computable, if and only if, I is computable by a URM. You will identify large families of computable functions and will prove that certain naturally occurring functions are not computable.  MTHF5029Y  20 
Students will select 0  20 credits from the following modules:
Name  Code  Credits 

APPLIED GEOPHYSICS What lies beneath our feet? This module addresses this question by exploring how wavefields and potential fields are used in geophysics to image the subsurface on scales of metres to kilometres. You'll study the basic theory, data acquisition and interpretation methods of seismic, electrical, gravity and magnetic surveys. A wide range of applications are covered, including archaeological geophysics, energy resources and geohazards. Highly valued by employers, this module features guest lecturers from industry who explain the latest 'stateoftheart' applications and give you unique insight into real world situations. In taking this module, you'll normally expected to have a good mathematical ability, notably in calculus and algebra.  ENV5004B  20 
DYNAMICS AND VIBRATION You will build on the introductory material you gained in first year engineering mechanics. An appreciation of why dynamics and vibration are important for engineering designers leads to consideration of Singledegreeoffreedom (SDOF) systems, Equation of motion, free vibration analysis, energy methods, natural frequency, undamped and damped systems and loading. Fourier series expansion and modal analysis are applied to vibration concepts: eigenfrequency, resonance, beats, critical, undercritical and overcritical damping, and transfer function. Introduction to multidegree of freedom (MDOF) systems. Applications to beams and cantilevers. MathCAD will be used to support learning.  ENG5004B  20 
EDUCATIONAL PSYCHOLOGY This module will provide you with an introduction to key areas of psychology with a focus on learning and teaching in education. By the end of the module you should be able to:  Discuss the role of perception, attention and memory in learning;  Compare and contrast key theories related to learning, intelligence, language, thinking and reasoning;  Critically reflect on key theories related to learning,intelligence, language, thinking and reasoning in the practical context;  Discuss the influence of key intrapersonal, interpersonal and situational factors on pupils learning and engagement in educational settings.  EDUB5012A  20 
ELECTROMAGNETISM, OPTICS, RELATIVITY AND QUANTUM MECHANICS You will be introduced to important topics in physics, with particular, but not exclusive, relevance to chemical and molecular physics. You will cover areas including optics, electrostatics and magnetism and special relativity.  PHY4001Y  20 
INTRODUCTION TO BUSINESS (2) How are businesses organised and managed? This module helps nonNorwich Business School students explore the dynamic and everchanging world of business and provides insights into the managerial role. You'll explore the business environment, key environmental drivers and the basic functions of organisations. There will be a review of how organisations are managed in response to various environmental drivers. You will consider some of the current issues faced by every organisation, such as business sustainability, corporate responsibility and internationalisation. This module is designed to provide an overview of the corporate world for nonbusiness specialists, so no previous knowledge of business or business management is required for this module. General business concepts are introduced in lectures and applied in a practical manner during seminars. By the end of this module, you will be able to understand and apply key business concepts and employ a number of analytical tools to help explore the business environment, industry structure and business management. You will be assessed through a range of assignments, for example an individual piece of coursework, group work and an exam. Therefore, the module reinforces fundamental study skills development through a combination of academic writing, presentational skills, teamwork and the practical application of theory. Core business theory is introduced in lectures and applied practically with the use of examples in seminars. By the end of this module you will be able to understand and apply key business concepts and a range of analytical tools to explore the business environment. Introduction to Business facilitates study skills development that is essential across all 3 years of the undergraduate degree by developing academic writing, presentation, team working and communication skills effectively.  NBS4008Y  20 
INTRODUCTION TO FINANCIAL AND MANAGEMENT ACCOUNTING (2) It is vital that everyone working in business has an understanding of accounting data in order that financial information can be used to add value to the organisation. You'll be provided with a foundation in the theory and practice of accounting and an introduction to the role, context and language of financial reporting and management accounting. The module assumes no previous study of accounting. You'll begin with building a set of accounts from scratch so that you will be able to analyse and provide insight form the major financial statements. You'll also look at management decision making tools such as costing, budgeting and financial decision making. You will be required to actively participate in your learning both in lectures and seminars. The module employs a "learn by doing" approach.  NBS4010Y  20 
INTRODUCTORY MACROECONOMICS The aim of this module is to introduce students to the economic way of reasoning, and to apply these to a variety of real world macroeconomic issues. Students will begin their journey by learning how to measure macroeconomic aggregates, such as GDP, GDP growth, unemployment and inflation. The module will establish the foundations to conduct rigorous Macroeconomics analysis, as students will learn how to identify and characterise equilibrium on the goods market and on the money market. The module will also introduce students to policymaking, exploring and evaluating features and applications of fiscal and monetary policy. Students will grow an appreciation of the methods of economic analysis, such as mathematical modelling, diagrammatic representation, and narrative. The discussion of theoretical frameworks will be enriched by real world applications, and it will be supported by an interactive teaching approach.  ECO4006Y  20 
INTRODUCTORY MICROECONOMICS Forming a foundation for subsequent economic modules, this module will introduce you to the fundamental principles, concepts and tools of microeconomics and show you how to apply these to a variety of real world economic issues. There is some mathematical content  you will be required to interpret linear equations, solve simple linear simultaneous equations and use differentiation. The module is primarily concerned with: 1) the ways individuals and households behave in the economy 2) the analysis of firms producing goods and services 3) how goods and services are traded or otherwise distributed  often but not exclusively through markets 4) the role of government as provider and/or regulator.  ECO4005Y  20 
METEOROLOGY I The weather affects everyone and influences decisions that are made on a daily basis around the world. From whether to hang your washing out on a sunny afternoon, to which route a commercial aircraft takes as it travels across the ocean, weather plays a vital role. With that in mind, what actually causes the weather we experience? In this module you'll learn the fundamentals of the science of meteorology. You'll concentrate on the physical process that allow moisture and radiation to transfer through the atmosphere and how they ultimately influence our weather. The module contains both descriptive and mathematical treatments of radiation balance, thermodynamics, dynamics, boundary layers, weather systems and the water cycle. The module is assessed through a combination of one piece of coursework and an exam, and is designed in a way that allows those with either mathematical or descriptive abilities to do well, although a reasonable mathematical competence is essential, including basic understanding of differentiation and integration.  ENV5008A  20 
PROGRAMMING FOR NONSPECIALISTS The purpose of this module is to give you a solid grounding in the essential features programming using the Java programming language. The module is designed to meet the needs of the student who has not previously studied programming.  CMP5020B  20 
UNDERSTANDING THE DYNAMIC PLANET Understanding of natural systems is underpinned by physical laws and processes. You will explore the energy, mechanics, and physical properties of Earth materials and their relevance to environmental science using examples from across the Earth's differing systems. The formation, subsequent evolution and current state of our planet are considered through its structure and behaviour  from the planetary interior to the dynamic surface and into the atmosphere. You will study Plate Tectonics to explain Earth's physiographic features  such as mountain belts and volcanoes  and how the processes of erosion and deposition modify them. The distribution of land masses is tied to global patterns of rock, ice and soil distribution and to atmospheric and ocean circulation. You will also explore geological time  the 4.6 billion year record of changing conditions on the planet  and how geological maps can be used to understand Earth history. This course provides you with an introduction to geological materials  rocks, minerals and sediments  and to geological resources and natural hazards.  ENV4005A  20 
Students will select 60  100 credits from the following modules:
Name  Code  Credits 

MATHEMATICAL TECHNIQUES We provide techniques for a wide range of applications, while stressing the importance of rigour in developing such techniques. The Calculus of Variations includes techniques for maximising integrals subject to constraints. A typical problem is the curve described by a heavy chain hanging under the effect of gravity. You will develop techniques for algebraic and differential equations. This includes asymptotic analysis, which provides approximate solutions when exact solutions can not be found and when numerical solutions are difficult. Integral transforms are useful for solving problems including integrodifferential equations. This unit will include illustration of concepts using numerical investigation with MAPLE and/or MATLAB.  MTHD6032B  20 
ADVANCED STATISTICS This module covers two topics in statistical theory: Linear and Generalised Linear models and also includes Stochastic processes. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data using R. Stochastic processes including the random walk, Markov chains, Poisson processes, and birth and death processes.  CMP6004A  20 
CRYPTOGRAPHY Cryptography is the science of coding and decoding messages so as to keep these messages secure, and has been used throughout history. In the past, encryption was mainly used by a small number of individuals in positions of authority. Nowadays the universal presence of the internet and ecommerce means that we all have transactions that we want to keep secret. The speed of modern home computers means that an encrypted message that would have been perfectly secure (that is, would have taken an inordinately long time to break) a few decades ago can now be broken in seconds. But as decryption methods have advanced, the methods of encryption have also become more sophisticated. Modern cryptosystems depend on mathematics, in particular Number Theory and Algebra. The most famous example of a public key cryptosystem, RSA, relies on the fact that it is 'hard' to factor a large number into a product of primes. In this course, we will look at the mathematics underpinning both classical and modern methods of cryptography and consider how these methods can be applied. You will compare material on symmetric key cryptography and public key cryptography. Examples of both will be given, along with discussion of their strengths and weaknesses, with the emphasis being on the mathematics. You will look at how prime numbers can be used in cryptography, with material on primality testing and factorisation. You will also define and study elliptic curves in order to investigate the relatively new field of elliptic curve cryptography.  MTHD6025B  20 
DYNAMICAL METEOROLOGY Dynamical meteorology is a core subject on which weather forecasting and the study of climate and climate change are based. This module applies fluid dynamics to the study of the circulation of the Earth's atmosphere. The fluid dynamical equations and some basic thermodynamics for the atmosphere are introduced. These are then applied to topics such as geostrophic flow, thermal wind and the jet streams, boundary layers, gravity waves, the Hadley circulation, vorticity and potential vorticity, Rossby waves, and equatorial waves. Emphasis will be placed on fluid dynamical concepts as well as on finding analytical solutions to the equations of motion.  MTHD6018A  20 
FLUID DYNAMICS Fluid dynamics has wide ranging applications across nature, engineering, and biology. From understanding the behaviour of ocean waves and weather, designing efficient aircraft and ships, to capturing blood flow, the ability to understand and predict how fluids (liquids and gasses) behave is of fundamental importance. You will consider mathematical models of fluids, particularly including viscosity (or stickiness) of a fluid. Illustrated by practical examples throughout, you will develop the governing differential NavierStokes equations, and then consider their solution either finding exact solutions, or using analytical techniques to obtain solutions in certain limits (for example low viscosity or high viscosity).  MTHD6020A  20 
FUNCTIONAL ANALYSIS This course will cover normed spaces; completeness; functionals; HahnBanach theorem; duality; and operators. Time permitting, we shall discuss Lebesgue measure; measurable functions; integrability; completeness of Lp spaces; Hilbert space; compact, HilbertSchmidt and trace class operators; as well as the spectral theorem.  MTHD6033B  20 
GALOIS THEORY A prerequisite of this module is that you have studied the Algebra module. Galois theory is one of the most spectacular mathematical theories. It gives a beautiful connection between the theory of polynomial equations and group theory. In fact, many fundamental notions of group theory originated in the work of Galois. For example, why are some groups called "solvable"? Because they correspond to the equations which can be solved (by some formula based on the coefficients and involving algebraic operations and extracting roots of various degrees). Galois theory explains why we can solve quadratic, cubic and quartic equations, but no similar formulae exist for equations of degree greater than 4. In modern exposition, Galois theory deals with "field extensions", and the central topic is the "Galois correspondence" between extensions and groups.  MTHE6004B  20 
GRAPH THEORY A graph is a set of 'vertices'  usually finite  which may or may not be linked by 'edges'. Graphs are very basic structures and therefore play an important role in many parts of mathematics, computing and science more generally. In this module, you will develop the basic notions of connectivity and matchings. You'll explore the connection between graphs and topology via the planarity of graphs. We aim to prove a famous theorem due to Kuratowski which provides the exact conditions for a graph to be planar. You will also be able to study an additional topic on graph colourings. One of the best known theorems in graph theory is the FourColourTheorem. While this result is not within our reach, we shall aim to prove the FiveColourTheorem.  MTHD6005A  20 
MATHEMATICAL BIOLOGY Mathematics finds wideranging applications in biological systems: including population dynamics, epidemics and the spread of diseases, enzyme kinetics, some diffusion models in biology including Turing instabilities and pattern formation, and various aspects of physiological fluid dynamics.  MTHD6021B  20 
MATHEMATICAL LOGIC Mathematical logic analyses symbolically the way in which we reason formally, particularly about mathematical structures. The ideas have applications to other parts of Mathematics, as well as being important in theoretical computer science and philosophy. We give a thorough treatment of predicate and propositional logic and an introduction to model theory.  MTHD6015A  20 
Students will select 20  60 credits from the following modules:
Name  Code  Credits 

HISTORY OF MATHEMATICS You will trace the development of mathematics from prehistory to the high cultures of ancient Egypt, Mesopotamia, and the Indus Valley civilisation, through Islamic mathematics, and on to mathematical modernity, through a selection of topics. You will explore the rise of calculus and algebra from the time of Greek and Indian mathematicians, up to the era of Newton and Leibniz. We also discuss other topics, such as mathematical logic: ideas of propositions, axiomatisation and quantifiers. Our style is to explore mathematical practice and conceptual developments, in different historical and geographical settings.  MTHA6002A  20 
MATHEMATICS PROJECT This module is reserved for third year students who have completed an appropriate number of mathematics modules at levels 4 and 5. It is a project on a mathematical topic supervised by a member of staff within the school, or in a closely related school. The focus of the project is on independent study; you will have the opportunity to undertake research in an area which is interesting to you. You will write an indepth report on your chosen project, in the mathematical typesetting language LaTeX. There will also be a short oral presentation.  MTHA6005Y  20 
MODELLING ENVIRONMENTAL PROCESSES Our aim is to show how environmental problems may be solved from the initial problem, to mathematical formulation and numerical solution. Problems will be described conceptually, then defined mathematically, then solved numerically via computer programming. The module consists of lectures on numerical methods and computing practicals; the practicals being designed to illustrate the solution of problems using the methods covered in lectures. We will guide you through the solution of a model of an environmental process of your own choosing. The skills developed in this module are highly valued by prospective employers.  ENV6004A  20 
THE LEARNING AND TEACHING OF MATHEMATICS The aim of the module is to introduce you to the study of the teaching and learning of mathematics with particular focus to secondary and post compulsory level. In this module, you will explore theories of learning and teaching of mathematical concepts typically included in the secondary and post compulsory curriculum. Also, you will learn about knowledge related to mathematical teaching. If you are interested in mathematics teaching as a career or interested in mathematics education as a research discipline, then this module will equip you with the necessary knowledge and skills.  EDUB6014A  20 
Students will select 0  20 credits from the following modules:
Name  Code  Credits 

ADVANCED TOPICS IN PHYSICS On this module you will study a selection of advanced topics in classical physics that provide powerful tools in many applications as well as provide a deep theoretical background for further advanced studies in both classical and quantum physics. The topics include analytical mechanics, electromagnetic field theory and special relativity. Within this module you will also complete a computational assignment, developing necessary skills applicable for computations in many areas of physics  PHY6002B  20 
APPLIED GEOPHYSICS What lies beneath our feet? This module addresses this question by exploring how wavefields and potential fields are used in geophysics to image the subsurface on scales of metres to kilometres. You'll study the basic theory, data acquisition and interpretation methods of seismic, electrical, gravity and magnetic surveys. A wide range of applications are covered, including archaeological geophysics, energy resources and geohazards. Highly valued by employers, this module features guest lecturers from industry who explain the latest 'stateoftheart' applications and give you unique insight into real world situations. In taking this module, you'll normally expected to have a good mathematical ability, notably in calculus and algebra.  ENV5004B  20 
CHILDREN, TEACHERS AND MATHEMATICS This module will introduce you to key issues in mathematics education, particularly those that relate to the years of compulsory schooling. Specifically in this module we: Introduce the mathematics curriculum and pupils' perception of, and difficulties with, key mathematical concepts; Discuss public and popular culture perceptions of mathematics, mathematical ability and mathematicians as well as address ways in which these perceptions can be modified; Outline and discuss specific pedagogical actions (focused on challenge and motivation) that can be taken as early as possible during children's schooling and can provide a solid basis for pupils' understanding and appreciation of mathematics. By the end of the module you will be able to: Gain understanding of key curricular, pedagogical and social issues that relate to the teaching and learning of mathematics, a crucial subject area in the curriculum; Reflect on pedagogical action that aims to address those issues, particularly in the years of compulsory schooling; Be informed and able to consider the potential of pursuing a career in education, either as a teacher, educational professional or researcher in education with particular specialisation in the teaching and learning of mathematics.  EDUB6006A  20 
CLIMATE SYSTEMS What sets the mean global temperature of the world? Why are some parts of the world arid whilst others at the same latitudes are humid? This module aims to provide you with an understanding of the processes that determine why the Earth's climate (defined, for example, by temperature and moisture distribution) looks like it does, what the major circulation patterns and climate zones are and how they arise. You will study why the climate changes in time over different timescales, and how we use this knowledge to understand the climate systems of other planets. This module is aimed at you if you wish to further your knowledge of climate, or want a base for any future study of climate change, such as the Meteorology/Oceanography.  ENV6025B  20 
EDUCATIONAL PSYCHOLOGY This module will provide you with an introduction to key areas of psychology with a focus on learning and teaching in education. By the end of the module you should be able to:  Discuss the role of perception, attention and memory in learning;  Compare and contrast key theories related to learning, intelligence, language, thinking and reasoning;  Critically reflect on key theories related to learning,intelligence, language, thinking and reasoning in the practical context;  Discuss the influence of key intrapersonal, interpersonal and situational factors on pupils learning and engagement in educational settings.  EDUB5012A  20 
FINANCIAL ACCOUNTING What are the rules that dictate how company accounts should be prepared and why do those rules exist? This is the essence of this module. Whilst company directors may wish to present the financial condition of a business in the best possible light, rules have been developed to protect investors and users of the accounts from being misled. You'll develop knowledge and skills in understanding and applying accounting standards when preparing financial statements. You'll also prepare and analyse statements of both individual businesses and groups of companies. Large UK companies report using International Financial Reporting Standards and these are the standards that you'll use. You'll begin by preparing basic financial statements and progress, preparing accounts of increasing complexity by looking at topics including goodwill, leases, cashflow statements, foreign currency transactions, financial instruments and group accounts. You'll also deepen your analytical skills through ratio analysis. You'll learn through a mixture of lectures, seminars and selfstudy, and be assessed by coursework (20%) and final examination (80%). On successful completion of this module, you'll have acquired significant technical skills in both the preparation and analysis of financial statements. This will give you a strong basis from which to build should you wish to study advanced financial accounting or are planning on a career in business or accounting.  NBS5002Y  20 
INTRODUCTION TO CYBER SECURITY This module will provide you with a broad understanding of the key topics and issues relating to cyber security. In the module we will use realworld examples and case studies to illustrate the importance of security. You will learn about a variety of cyber security topics including: the value of information and data, vulnerabilities and exploits, tools for defence and mitigation and the human elements of cyber security. Security is fast becoming an essential part of all aspects of our daily lives and this module will provide you with the fundamental skills and knowledge for working in a range of industries.  CMP6044A  20 
INTRODUCTION TO QUANTUM MECHANICS AND SPECIAL RELATIVITY This module introduces you to quantum mechanics and special relativity. In quantum mechanics focus will be on: 1. Studying systems involving very short length scales  eg structure of atoms. 2. Understanding why the ideas of classical mechanics fail to describe physical effects when subatomic particles are involved. 3. Deriving and solving the Schrodinger equation. 4. Understanding the probabilistic interpretation of the Schrodinger equation. 5. Understanding how this equation implies that certain physical quantities such as energy do not vary continuously, but can only take on discrete values. The energy levels are said to be quantized. For special relativity, the general concept of space and time drastically changes for an observer moving at speeds close to the speed of light: for example time undergoes a dilation and space a contraction. These counterintuitive phenomena are however direct consequences of physical laws. The module will also explain the basis of Special Relativity using simple mathematics and physical intuition. Important wellknown topics like inertial and noninertial frames, the Lorentz transformations, the concept of simultaneity, time dilation and Lorentz contraction, mass and energy relation will be explained. You will end with the implications of special relativity and quantum mechanics on a relativistic theory of quantum mechanics.  MTHF5030Y  20 
KNOWLEDGE SCIENCE AND PROOF FOR SECOND YEARS Epistemology examines what knowledge is. Science is concerned with the acquisition of secure knowledge, and philosophy of science considers what counts as science, what objects the scientist knows about, and what methods can be used to attain such knowledge; logic uses formal tools to investigate different forms of reasoning deployed to acquire knowledge. You will be given an opportunity to explore a selection of these areas of philosophy, through teaching informed by recent and ongoing research: which ones will be explored on this occasion will be selected in the light of the lecturers' current research interests and their general appeal.  PPLP5175B  20 
MATHEMATICAL STATISTICS It introduces the essential concepts of mathematical statistics deriving the necessary distribution theory as required. In consequence in addition to ideas of sampling and central limit theorem, it will cover estimation methods and hypothesistesting. Some Bayesian ideas will be also introduced.  CMP5034A  20 
METEOROLOGY I The weather affects everyone and influences decisions that are made on a daily basis around the world. From whether to hang your washing out on a sunny afternoon, to which route a commercial aircraft takes as it travels across the ocean, weather plays a vital role. With that in mind, what actually causes the weather we experience? In this module you'll learn the fundamentals of the science of meteorology. You'll concentrate on the physical process that allow moisture and radiation to transfer through the atmosphere and how they ultimately influence our weather. The module contains both descriptive and mathematical treatments of radiation balance, thermodynamics, dynamics, boundary layers, weather systems and the water cycle. The module is assessed through a combination of one piece of coursework and an exam, and is designed in a way that allows those with either mathematical or descriptive abilities to do well, although a reasonable mathematical competence is essential, including basic understanding of differentiation and integration.  ENV5008A  20 
OCEAN CIRCULATION This module gives you an understanding of the physical processes occurring in the basinscale ocean environment. We will introduce and discuss large scale global ocean circulation, including gyres, boundary currents and the overturning circulation. Major themes include the interaction between ocean and atmosphere, and the forces which drive ocean circulation. You should be familiar with partial differentiation, integration, handling equations and using calculators. Shelf Sea Dynamics is a natural followon module and builds on some of the concepts introduced here. We strongly recommend that you also gain oceanographic fieldwork experience by taking the 20credit biennial Marine Sciences field course.  ENV5016A  20 
PROGRAMMING FOR NONSPECIALISTS The purpose of this module is to give you a solid grounding in the essential features programming using the Java programming language. The module is designed to meet the needs of the student who has not previously studied programming.  CMP5020B  20 
SCIENCE COMMUNICATION You will gain an understanding of how science is disseminated to the public and explore the theories surrounding learning and communication. You will investigate science as a culture and how this culture interfaces with the public. Examining case studies in a variety of different scientific areas, alongside looking at how information is released in scientific literature and subsequently picked up by the public press, will give you an understanding of science communication. You will gain an appreciation of how science information can be used to change public perception and how it can sometimes be misinterpreted. You will also learn practical skills by designing, running and evaluating a public outreach event at a school or in a public area. If you wish to take this module you will be required to write a statement of selection. These statements will be assessed and students will be allocated to the module accordingly.  BIO6018Y  20 
SHELF SEA DYNAMICS AND COASTAL PROCESSES The shallow shelf seas that surround the continents are the oceans that we most interact with. They contribute a disproportionate amount to global marine primary production and CO2 drawdown into the ocean, and are important economically through commercial fisheries, offshore oil and gas exploration, and renewable energy developments (e.g. offshore wind farms). You will explore the physical processes that occur in shelf seas and coastal waters, their effect on biological, chemical and sedimentary processes, and how they can be harnessed to generate renewable energy. You will develop new skills during this module that will support careers in the offshore oil and gas industry, renewable energy industry, environmental consultancy, government laboratories (e.g. Cefas) and academia. The level of mathematical ability required to take this module is similar to Ocean Circulation and Meteorology I. You should be familiar with radians, rearranging equations and plotting functions.  ENV5017B  20 
TOPOLOGY AND COMPUTABILITY This module provides an introduction to two selfcontained topics which have not been seen before. Topology: This is an introduction to pointset topology, which studies spaces up to continuous deformations and thereby generalises analysis, using only basic set theory. You will begin by defining a topological space, and will then investigate notions like open and closed sets, limit points and closure, bases of a topology, continuous maps, homeomorphisms, and subspace and product topologies. Computability: This is an introduction to the theoretical foundation of computability theory. The main question we will focus on is "which functions can in principle (i.e., given unlimited resources of space and time) be computed?". The main object of study will be certain devices known as unlimited register machines (URM's). We will adopt the point of view that a function is computable, if and only if, I is computable by a URM. You will identify large families of computable functions and will prove that certain naturally occurring functions are not computable.  MTHF5029Y  20 
WEATHER APPLICATIONS This module will build upon material covered in Meteorology I, by covering topics such as synoptic meteorology, weather hazards, micrometeorology, further thermodynamics and weather forecasting. The module includes a major summative coursework assignment based on data collected on a UEA meteorology fieldcourse in a previous year.  ENV5009B  20 
Students must study the following modules for credits:
Name  Code  Credits 

Students will select 40 credits from the following modules:
Please note that CMP6004A Advanced Statistics or equivalent is a prerequisite for CMP7017Y.
Name  Code  Credits 

MATHEMATICS DISSERTATION In your fourth year you can produce a dissertation on a mathematical topic and receive guidance from a supervisor throughout your project. This is a compulsory part of some Master of Mathematics degrees.  MTHA7029Y  40 
MMATH PROJECT This module is modelled on the Mathematics MMath project module MTHA7029Y. However, in this case it consists of a supervised dissertation on a topic in the general area of probability or statistics. It may involve some computation, this will depend on the topic chosen.  CMP7017Y  40 
Students will select 80 credits from the following modules:
Name  Code  Credits 

CRYPTOGRAPHY WITH ADVANCED TOPICS Cryptography is the science of coding and decoding messages to keep them secure, and has been used throughout history. While previously only a few people in authority used cryptography, the internet and ecommerce mean that we now all have transactions that we want to keep secret. The speed of modern computers means messages encrypted using techniques from just a few decades ago can now be broken in seconds; thus the methods of encryption have also become more sophisticated. In this module, you will explore some of the mathematics behind cryptography and how to apply it. This includes standard material from elementary number theory, including primality testing and methods of factorization and their application to symmetric key and public key cryptography, including DiffieHellman Key exchange, RSA and ElGamal. The last section of the course will be on elliptic curve cryptography. There will be additional material on an advanced topic, to be determined.  MTHD7025B  20 
DYNAMICAL METEOROLOGY WITH ADVANCED TOPICS Dynamical meteorology is a core subject on which weather forecasting and the study of climate and climate change are based. This module applies fluid dynamics to the study of the circulation of the Earth's atmosphere. The fluid dynamical equations and some basic thermodynamics for the atmosphere are introduced. These are then applied to topics such as geostrophic flow, thermal wind and the jet streams, boundary layers, gravity waves, the Hadley circulation, vorticity and potential vorticity, Rossby waves, and equatorial waves. Emphasis will be placed on fluid dynamical concepts as well as on finding analytical solutions to the equations of motion. Advanced Topic: Advanced Rossby wave propagation.  MTHD7018A  20 
FLUID DYNAMICS WITH ADVANCED TOPICS Fluid dynamics has wide ranging applications across nature, engineering, and biology. From understanding the behaviour of ocean waves and weather, designing efficient aircraft and ships, to capturing blood flow, the ability to understand and predict how fluids (liquids and gasses) behave is of fundamental importance. You will consider mathematical models of fluids, particularly including viscosity (or stickiness) of a fluid. Illustrated by practical examples throughout, you will develop the governing differential NavierStokes equations, and then consider their solution either finding exact solutions, or using analytical techniques to obtain solutions in certain limits (for example low viscosity or high viscosity).  MTHD7020A  20 
FUNCTIONAL ANALYSIS WITH ADVANCED TOPICS This course will cover normed spaces; completeness; functionals; HahnBanach theorem; duality; and operators. Time permitting, we shall discuss Lebesgue measure; measurable functions; integrability; completeness of Lp spaces; Hilbert space; compact, HilbertSchmidt and trace class operators; as well as the spectral theorem. The advanced topic will be Lebesgue measure, studied in depth  MTHD7033B  20 
GALOIS THEORY WITH ADVANCED TOPICS A prerequisite of this module is that you have studied the Algebra module. Galois theory is one of the most spectacular mathematical theories. It gives a beautiful connection between the theory of polynomial equations and group theory. In fact, many fundamental notions of group theory originated in the work of Galois. For example, why are some groups called "solvable"? Because they correspond to the equations that can be solved (by some formula based on the coefficients, involving algebraic operations, and extracting roots of various degrees). Galois theory explains why we can solve quadratic, cubic and quartic equations, but no similar formulae exist for equations of degree greater than 4. In modern exposition, Galois theory deals with "field extensions", and the central topic is the "Galois correspondence" between extensions and groups. The advanced topic concerns the socalled "Inverse Galois problem": does every group correspond to some polynomial, and is the answer dependent on the base field?  MTHE7004B  20 
GRAPH THEORY WITH ADVANCED TOPICS A graph is a set of 'vertices'  usually finite  which may or may not be linked by 'edges'. Graphs are very basic structures and therefore play an important role in many parts of mathematics, computing and science more generally. In this module, you will develop the basic notions of connectivity and matchings. You'll explore the connection between graphs and topology via the planarity of graphs. We aim to prove a famous theorem due to Kuratowski which provides the exact conditions for a graph to be planar. You will also be able to study an additional topic on graph colourings. One of the best known theorems in graph theory is the FourColourTheorem. While this result is not within our reach we shall aim to prove the FiveColourTheorem. In the Advanced Topics section, you will discuss strongly regular graphs.  MTHD7005A  20 
MATHEMATICAL BIOLOGY WITH ADVANCED TOPICS Mathematics finds wideranging applications in biological systems: including population dynamics, epidemics and the spread of diseases, enzyme kinetics, some diffusion models in biology including Turing instabilities and pattern formation, and various aspects of physiological fluid dynamics. Advanced topic: TBD  MTHD7004B  20 
MATHEMATICAL LOGIC WITH ADVANCED TOPICS Mathematical Logic analyses symbolically the way in which we reason formally, particularly about mathematical structures. The ideas have applications to other parts of Mathematics, as well as being important in theoretical computer science and philosophy. We give a thorough treatment of predicate and propositional logic and an introduction to model theory.  MTHD7015A  20 
MATHEMATICAL TECHNIQUES WITH ADVANCED TOPICS This unit provides a selection of techniques applicable to mathematical problems in a wide range of applications, while at the time stressing the importance of rigour in developing such techniques. Topics to be studied include calculus of variation, asymptotic analysis, Green's functions and Integral transforms. There will be in depth study of other aspects of asymptotic theory, including Matched Asymptotic Expansions and the WKB approximation. This unit will include illustration of concepts using numerical investigation with MAPLE and MATLAB.  MTHD7032B  20 
Disclaimer
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (fiveyearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will endeavour to inform students.Further Reading

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Essential Information
Entry Requirements
 A Level AAB or ABB with an A in the Extended Project, including an A in Mathematics or ABB including an A in Mathematics and a B in Further Mathematics. Science Alevels must include a pass in the practical element.
 International Baccalaureate 33 points including Higher Level 6 in Mathematics.
 Scottish Highers AAAAA including a B in Advanced Higher Mathematics.
 Scottish Advanced Highers BBC including a B in Mathematics.
 Irish Leaving Certificate 4 subjects at H2, 2 subjects at H3, including H2 in Mathematics.
 Access Course Pass Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 credits at Level 3, including 12 credits in Mathematics at Distinction. Please note that an interview will be required.
 BTEC DDD alongside grade A in Alevel Mathematics. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration
 European Baccalaureate 80% overall including 85% in Mathematics.
Entry Requirement
General Studies and Critical Thinking are not accepted.
If you do not meet the academic requirements for direct entry, you may be interested in one of our Foundation Year programmes.
Mathematics with a Foundation Year
Students for whom English is a Foreign language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
 IELTS: 6.5 overall (minimum 5.5 in all components)
We also accept a number of other English language tests. Please click here to see our full list.
INTO University of East Anglia
If you do not yet meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the English skills necessary for successful undergraduate study:
If you do not meet the academic and or English requirements for direct entry our partner, INTO University of East Anglia offers guaranteed progression on to this undergraduate degree upon successful completion of a preparation programme. Depending on your interests, and your qualifications you can take a variety of routes to this degree:
 International Foundation in Physical Sciences and Engineering
 International Foundation in Mathematics and Actuarial Sciences
Interviews
Most applicants will not be called for an interview and a decision will be made via UCAS Track. However, for some applicants an interview will be requested. Where an interview is required the Admissions Service will contact you directly to arrange a time.
Gap Year
We welcome applications from students who have already taken or intend to take a gap year. We believe that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry on your UCAS application.
Intakes
The annual intake is in September each year.
Alternative Qualifications
UEA recognises that some students take a mixture of International Baccalaureate IB or International Baccalaureate Careerrelated Programme IBCP study rather than the full diploma, taking Higher levels in addition to A levels and/or BTEC qualifications. At UEA we do consider a combination of qualifications for entry, provided a minimum of three qualifications are taken at a higher Level. In addition some degree programmes require specific subjects at a higher level.
GCSE Offer
You are required to have Mathematics and English Language at a minimum of Grade C or Grade 4 or above at GCSE.
Course Open To
UK and overseas applicants.
Fees and Funding
Undergraduate University Fees and Financial Support
Tuition Fees
Information on tuition fees can be found here:
Scholarships and Bursaries
We are committed to ensuring that costs do not act as a barrier to those aspiring to come to a world leading university and have developed a funding package to reward those with excellent qualifications and assist those from lower income backgrounds.
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
How to Apply
Applications need to be made via the Universities Colleges and Admissions Services (UCAS), using the UCAS Apply option.
UCAS Apply is a secure online application system that allows you to apply for fulltime Undergraduate courses at universities and colleges in the United Kingdom. It is made up of different sections that you need to complete. Your application does not have to be completed all at once. The application allows you to leave a section partially completed so you can return to it later and add to or edit any information you have entered. Once your application is complete, it is sent to UCAS so that they can process it and send it to your chosen universities and colleges.
The Institution code for the University of East Anglia is E14.
Further Information
Please complete our Online Enquiry Form to request a prospectus and to be kept up to date with news and events at the University.
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
Next Steps
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