MMath Master of Mathematics (with a Year Abroad)

Key details

MMATH MASTER OF MATHEMATICS (WITH A YEAR ABROAD)

Start Year

2021

Attendance

Full Time

Award

Degree of Master of Mathematics

UCAS course code

G10A

Entry Requirements

AAB

Duration (years)

Our prestigious four-year Master of Mathematics degree programme will allow you to delve deeper and really develop your interests in pure and applied mathematics.

You’ll spend your third year studying advanced mathematics modules at one of our partner universities overseas. It’s a fantastic experience personally, socially and culturally, and it will also give you the chance to study in a department where different aspects of mathematics are taught. Plus it’s a great way to build contacts and show future employers your resilience and adaptability.

One of the key advantages of studying with us is that 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 – as well as engaging in the study of essential mathematical theory and technique – you’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 your report writing and oral presentation skills, which will be 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 – 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.

About

Our four-year 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 three-year BSc programme, it’s a flexible course that allows you to specialise in either pure or applied mathematics, or a combination of the two.

On our Year Abroad programme you’ll have the opportunity to spend a year broadening your mathematical knowledge and experiencing a different lifestyle and culture by studyingat one of our partner universities across North America and Australasia. You’ll then return to UEA to undertake a substantial final year research project.

At UEA you’ll benefit from internationally recognised, research-led teaching and a high academic staff to student ratio, so you’ll graduate with a deep understanding of mathematics – and fantastic career prospects.

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Important Information

Whilst the University will make every effort to offer the courses listed, changes may sometimes be made arising from the regular review of course programmes. Where this activity leads to significant (but not minor) changes to programmes, there will normally be prior consultation of students and others. Changes may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will inform students.

Assessment for Year 1

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.

Structure

The first two years of our Masters course run in parallel with our three-year 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.

The first year will develop your skills in calculus and other topics you may have covered at A-level, 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. And modules on algebra and analysis will introduce important new concepts and ideas, which you will use in following years.

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 world-leading (REF 2014), so you can be sure you’ll be learning in the most up-to-date of environments.

New material will usually be delivered through lectures, which are complemented by online notes and workshops, where you’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 you’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, you’ll work with your academic advisor and the same six or seven students each week. It’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 year your formal contact hours will be slightly reduced as you will have 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 university-level mathematics, you’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 face-to-face feedback on exercises you’ve attempted.

Prior to undertaking formal coursework (which will contribute to your module mark), you’ll submit answers to questions based on similar material for comments from the lecturer. The feedback you receive will then help with your coursework.

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Assessment for Year 2

Structure

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 you’ve already studied can be applied to meteorology.

During this year you’ll also discuss and plan where you would like to study in your third year with our overseas study coordinator.

Teaching and Learning

Individual Study

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Assessment for Year 3

Structure

After developing a broad mathematical knowledge during your first two years, you will spend your third year studying at one of our university exchange partners in another country.

We have particularly strong links with institutions in North America and Australia. In recent years students have spent their year abroad in Sydney, Melbourne, Adelaide, Canberra, San Francisco, Arizona and Colorado, but other locations are also available. We will take into account your field of interest and placement preferences, and do our best to place you at the university of your choice.

Teaching and Learning

Individual Study

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Virtual Open Day

Assessment for Year 4

Structure

You will undertake a substantial individual project during your final year, working under the close supervision of a lecturer whose expertise matches your chosen subject. Each of our lecturers will propose project titles covering a wide range of current mathematical research, but some of our students choose to devise their own topics in conjunction with one of our lecturers.

Recent topics have ranged from “The Mobius function of Finite Groups” to “The Aerodynamics of Golf Balls” (a topic suggested by the student). In order to be assessed, you’ll submit a written report on the project, and you’ll give a short oral presentation on your findings to your lecturers and fellow Masters students.

Besides your individual project, your studies will focus on Master’s-level modules that explore topics such as lie algebra, fluid structure 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

Individual Study

Admissions Live Chat

Virtual Open Day

Assessment for Year 1

Compulsory Modules

MATHEMATICAL SKILLS

Code MTHA4001A

Credits 20

The unit 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.

PROBABILITY

Code MTHA4001B

Credits 10

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 decision-making. 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 computer-lab sessions of (2 hours each) where you will apply probability theory to specific everyday life case studies. The only pre-requisites 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 A-level you will rediscover its contents now taught using a proper and more elegant mathematical formalism.

REAL ANALYSIS

Code MTHA4003Y

Credits 20

We 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, we move on to series, which capture the notion of an infinite sum. We then learn about limits of functions and continuity. Finally, we will learn precise definitions of differentiation and integration and see the Fundamental Theorem of Calculus.

ALGEBRA 1

Code MTHA4006Y

Credits 20

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, we consider linear algebra and in the second semester, we move on to group theory. In the first semester, we 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. We 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.

COMPUTATION AND MODELLING

Code MTHA4007Y

Credits 20

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.

CALCULUS AND MULTIVARIABLE CALCULUS

Code MTHA4008Y

Credits 30

In this module you will study: (a) Complex numbers. (b) Vectors. (c) Differentiation; power series. (d) Integration: applications, curve sketching, area, arc-length. (e) First and second-order, constant-coefficient 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.

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Important Information

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. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with 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. 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 inform students.

Assessment for Year 2

Compulsory Modules

DIFFERENTIAL EQUATIONS AND APPLIED METHODS

Code MTHA5004Y

Credits 20

(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.

COMPLEX ANALYSIS

Code MTHA5006Y

Credits 20

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, Cauchy-Riemann equations. (b) Topology of the complex plane, complex integration, Cauchy and Laurent theorems, residue calculus.

INVISCID FLUID FLOW

Code MTHA5007Y

Credits 20

This module will introduce the student to fundamental principles and ideas in the study of fluid dynamics, including flow kinematics and dynamics.

ALGEBRA II

Code MTHA5008Y

Credits 20

The module offers an introduction to vector space theory in the first semester followed by ring theory in the second semester. For vector spaces you will learn about subspaces, basis and dimension, linear maps, rank-nullity theorem, change of basis and the characteristic polynomial. This is followed by an introduction to rings using integers as a model. We develop the theory with many examples related to familiar concepts such as substitution and factorisation. Important examples of commutative rings include fields, domains, polynomial rings and their quotients.

Optional A Modules

(20-40 credits)

MATHEMATICAL STATISTICS

Code CMP-5034A

Credits 20

This module 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 hypothesis-testing.

INTRODUCTION TO QUANTUM MECHANICS AND SPECIAL RELATIVITY

Code MTHF5030Y

Credits 20

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 sub-atomic 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 well-known topics like inertial and non-inertial frames, the Lorentz transformations, the concept of simultaneity, time dilation and Lorentz contraction, mass and energy relation will be explained. The module will end with the implications of special relativity and quantum mechanics on a relativistic theory of quantum mechanics.

Optional B Modules

(0-20 credits)

PROGRAMMING FOR NON-SPECIALISTS

Code CMP-5020B

Credits 20

You will be introduced to a number of programming concepts at the start of your programming career, using a modern programming language common to many digital industries, with specific focus on applications within STEM fields. We structure learning through lectures, delivering core materials, and tutor supported exercises to reinforce learning, and to prepare you for programming in your following studies.

TIME SERIES

Code CMP-5042B

Credits 10

This module considers both the theory and practice of statistical modelling of time series. Students will be expected to analyse real data using R.

LINEAR REGRESSION USING R

Code CMP-5043B

Credits 10

This is a module designed to give you the opportunity to apply linear regression techniques using R. While no advanced knowledge of probability and statistics is required, we expect you to have some background in probability and statistics before taking this module. The aim is to provide an introduction to R and then provide the specifics in linear regression.

INTRODUCTORY MACROECONOMICS

Code ECO-4006Y

Credits 20

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 characterize equilibrium on the goods market and on the money market. The module will also introduce students to policy-making, 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.

EDUCATIONAL PSYCHOLOGY

Code EDUB5012A

Credits 20

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.

INTRODUCTION TO FINANCIAL AND MANAGEMENT ACCOUNTING

Code NBS-4108B

Credits 20

This module provides 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. It is be taken to provide a foundation to underpin subsequent specialist studies in accounting.

ELECTROMAGNETISM, OPTICS, RELATIVITY AND QUANTUM MECHANICS

Code PHY-4001Y

Credits 20

This module gives an introduction to important topics in physics, with particular, but not exclusive, relevance to chemical and molecular physics. Areas covered include optics, electrostatics and magnetism and special relativity. The module may be taken by any science students who wish to study physics beyond A Level.

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Important Information

Assessment for Year 4

Compulsory Modules

MATHEMATICS DISSERTATION

Code MTHA7029Y

Credits 40

You will complete a fourth year dissertation on a mathematical topic. This is a compulsory part of the Master of Mathematics degree.

Optional A Modules

(40 credits)

MATHEMATICAL LOGIC WITH ADVANCED TOPICS

Code MTHD7015A

Credits 20

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.

FLUID DYNAMICS WITH ADVANCED TOPICS

Code MTHD7020A

Credits 20

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 Navier-Stokes 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).

MATHEMATICAL BIOLOGY WITH ADVANCED TOPICS

Code MTHD7021A

Credits 20

Mathematical Biology is a rapidly developing and hugely exciting field with many areas the focus of dedicated research. In this module, you will discover how to use the mathematics you have learned to date to understand a wide range of interesting biological problems. In many cases, important biological insights can be gained from quite simple mathematical models. Examples include the diffusion-limited growth of solid tumours, and the reasons why animal coats patterns are so widely varied - for example, why does the tiger have stripes and the leopard have spots? Mathematics has made fundamental contributions in these and many other areas which we will explore during the module. Further examples may include the propagation of wave-fronts in migrating animal populations, blood flow in arteries and veins and the onset of arterial disease, cochlear mechanics in the ear, and tear film dynamics on the human eye. No prior knowledge of biology is required to be able to take this module.

CRYPTOGRAPHY WITH ADVANCED TOPICS

Code MTHD7025B

Credits 20

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 e-commerce 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, we 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 Diffie-Hellman Key exchange, RSA and ElGamal. The last section of the course will be on elliptic curve cryptography. There will be additional material on an advance topic, to be determined.

MATHEMATICAL TECHNIQUES WITH ADVANCED TOPICS

Code MTHD7032B

Credits 20

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 rigor 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.

FUNCTIONAL ANALYSIS WITH ADVANCED TOPICS

Code MTHD7033B

Credits 20

This course will cover normed spaces; completeness; functionals; Hahn-Banach theorem; duality; and operators. Time permitting, we shall discuss Lebesgue measure; measurable functions; integrability; completeness of L-p spaces; Hilbert space; compact, Hilbert-Schmidt and trace class operators; as well as the spectral theorem. The advanced topic will be Lebesgue measure, studied in depth

ALGEBRAIC TOPOLOGY WITH ADVANCED TOPICS

Code MTHD7034A

Credits 20

GALOIS THEORY WITH ADVANCED TOPICS

Code MTHE7004B

Credits 20

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 so-called Inverse Galois problem : does every group correspond to some polynomial, and is the answer dependent on the base field?

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Important Information

Entry Requirements

A Levels

AAB including an A in Mathematics or ABB including A in Mathematics and B in Further Mathematics or ABB with an A in Mathematics and the Extended Project. Science A Levels to include a pass in the practical element

BTEC

DDD alongside grade A in A level Maths. Excludes BTEC Public Services, Uniformed Services and Business Administration

Scottish highers

AAAAA alongside Scottish Advanced Highers Mathematics at grade B.

Scottish highers advanced

BBC including grade B in Mathematics

Irish leaving certificate

4 subjects at H2 including Mathematics, 2 subjects at H3

Access course

Pass the Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 credits at Level 3, including 12 Level 3 Maths credits. Interview required

European Baccalaureate

80% overall including 85% in Mathematics

International Baccalaureate

33 points including HL6 in Mathematics

GCSE offer

You are required to have Mathematics and English Language at a minimum of Grade C or Grade 4 or above at GCSE.

Additional entry requirements

Science A-levels must include a pass in the practical element.

A-Level 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:

BSc Mathematics with a Foundation Year

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 Mathematics and Actuarial Sciences

International Foundation in Physical Sciences and Engineering

Alternative Qualifications

UEA recognises that some students take a mixture of International Baccalaureate IB or International Baccalaureate Career-related 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.

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: 6.0 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.

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:

Pre-sessional English at INTO UEA

Academic English at INTO UEA

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

This course is open to UK, EU and International applicants. The annual intake for this course is in September each year.

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UEA Award

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Course Reference Number: 1545405

MMath MASTER OF MATHEMATICS (WITH A YEAR ABROAD)