Mathematics MMath

Key information

• Course length: 4 years
• UCAS code: G101
• Year of entry: 2020
• Typical offer: A-level : AAB / IB : 35 / BTEC : Applications considered

Module details

Year One Compulsory Modules

• Calculus I (MATH101)
Level 1 15 First Semester 70:30 1. To introduce the basic ideas of differential and integral calculus, to develop the basic skills required to work with them and to apply these skills to a range of problems.2. To introduce some of the fundamental concepts and techniques of real analysis, including limits and continuity.3. To introduce the notions of sequences and series and of their convergence. (LO1) Differentiate and integrate a wide range of functions;(LO2) Sketch graphs and solve problems involving optimisation and mensuration(LO3) Understand the notions of sequence and series and apply a range of tests to determine if a series is convergent(S1) Numeracy
• Calculus II (MATH102)
Level 1 15 Second Semester 80:20 - To discuss local behaviour of functions using Taylor’s theorem.- To introduce multivariable calculus including partial differentiation, gradient, extremum values and double integrals. (LO1) Use Taylor series to obtain local approximations to functions(LO2) Obtain partial derivatives and use them in several applications such as, error analysis, stationary points change of variables.(LO3) Evaluate double integrals using Cartesian and Polar Co-ordinates.
• Math103 - Introduction to Linear Algebra (MATH103)
Level 1 15 First Semester 60:40 • To develop techniques of complex numbers and linear algebra, including equation solving, matrix arithmetic and the computation of eigenvalues and eigenvectors. • To develop geometrical intuition in 2 and 3 dimensions. • To introduce students to the concept of subspace in a concrete situation. • To provide a foundation for the study of linear problems both within mathematics and in other subjects (LO1) Manipulate complex numbers and solve simple equations involving them solve arbitrary systems of linear equations(LO2) Understand and use matrix arithmetic, including the computation of matrix inverses(LO3) Compute and use determinants(LO4) Understand and use vector methods in the geometry of 2 and 3 dimensions(LO5) Calculate eigenvalues and eigenvectors and, if time permits, apply these calculations to the geometry of conics and quadrics.(LO6) calculate eigenvalues and eigenvectors and, if time permits, apply these calculations to the geometry of conics and quadrics(S2) Numeracy
• Introduction to Statistics (MATH162)
Level 1 15 Second Semester 80:20 •To introduce topics in Statistics and to describe and discuss basic statistical methods. •To describe the scope of the application of these methods. (LO1) To know how to describe statistical data.(LO2)  To be able to use the Binomial, Poisson, Exponential and Normal distributions.(LO3) To be able to perform simple goodness-of-fit tests.(LO4) To be able to use an appropriate statistical software package to present data and to make statistical analysis.(S1) Numeracy(S2) Problem solving skills(S3) IT skills(S4) Communication skills
• Mathematical It Skills (MATH111)
Level 1 15 First Semester 0:100 •To acquire key mathematics-specific computer skills.•To reinforce mathematics as a practical discipline by active experience and experimentation, using the computer as a tool.•To illustrate and amplify mathematical concepts and techniques.•To initiate and develop problem solving, group work and report writing skills.•To initiate and develop modelling skills.•To develop team work skills. (LO1) After completing the module, students should be able to tackle project work, including writing up of reports detailing their solutions to problems.(LO2) After completing the module, students should be able to use computers to create documents containing formulae, tables, plots and references.(LO3) After completing the module, students should be able to use mathematical software packages such as Maple and Matlab to manipulate mathematical expressions and to solve simple problems.(LO4) After completing the module, students should be able to better understand the mathematical topics covered, through direct experimentation with the computer.(S1) Problem solving skills(S2) Numeracy(S3) Communication skills(S4) IT skills(S5) Teamwork(S6) Adaptability(S7) Leadership(S8) Mathematical modelling skills
• Introduction to Study and Research in Mathematics (MATH107)
Level 1 15 First Semester 0:100 This module addresses what it means to be a mathematician, as an undergraduate and beyond that into academia or industry, and prepares students to succeed as such. It aims to:- bridge the gap in language and philosophy between A-level and (more rigorous) University mathematics;- equip students with the basic tools they need for their mathematical careers;- enable students to take responsibility for their learning and become active learners;- familiarise students with mathematics research as conducted within the department;- build students' confidence in handling various forms of mathematical communication. (1) Foundational knowledge of objects, processes, logic and reasoning required for university level mathematics.(2) Awareness of the nature of mathematics at University and beyond, and the implications of this for themselves.(3) Proactive engagement in the student's own learning.(4) Development of skills for mathematical communication (including mathematics proofs).
• Newtonian Mechanics (MATH122)
Level 1 15 Second Semester 80:20 To provide a basic understanding of the principles of Classical Mechanics and their application to simple dynamical systems. Learning Outcomes:After completing the module students should be able to analyse real world problems involving:- the motions of bodies under simple force systems- conservation laws for momentum and energy- rigid body dynamics using centre of mass, angular momentum and moments of inertia (LO1) the motions of bodies under simple force systems(LO2) conservation laws for momentum and energy(LO3) rigid body dynamics using centre of mass, angular momentum and moments(LO4) oscillation, vibration, resonance(LO5) oscillation, vibration, resonance(S1) Representing physical problems in a mathematical way(S2) Problem Solving Skills
• Numbers, Groups and Codes (MATH142)
Level 1 15 Second Semester 80:20 - To provide an introduction to rigorous reasoning in axiomatic systems exemplified by the framework of group theory.- To give an appreciation of the utility and power of group theory as the study of symmetries.- To introduce public-key cryptosystems as used in the transmission of confidential data, and also error-correcting codes used to ensure that transmission of data is accurate. Both of these ideas are illustrations of the application of algebraic techniques. (LO1) Be able to apply the Euclidean algorithm to find the greatest common divisor of a pair of positive integers, and use this procedure to find the inverse of an integer modulo a given integer.(LO2) Be able to solve linear congruences and apply appropriate techniques to solve systems of such congruences.(LO3) Be able to perform a range of calculations and manipulations with permutations.(LO4) Recall the definition of a group and a subgroup and be able to identify these in explicit examples.(LO5) Be able to prove that a given mapping between groups is a homomorphism and identify isomorphic groups.(LO6) To be able to apply group theoretic ideas to applications with error correcting codes.(LO7) Engage in group project work to investigate applications of the theoretical material covered in the module.

Programme Year Two

In the second and subsequent years of study, there is a wide range of modules. For the programme that you choose there may be no compulsory modules (although you may have to choose a few from a subset such as Pure Mathematics). If you make a different choice, you will find that one or more modules have to be taken. Each year you will choose a number of optional modules. Please note that we regularly review our teaching so the choice of modules may change.

Year Two Compulsory Modules

• Complex Functions (MATH243)
Level 2 15 First Semester 80:20 •To introduce the student to a surprising, very beautiful theory having intimate connections with other areas of mathematics and physical sciences, for instance ordinary and partial differential equations and potential theory. (LO1) To understand the central role of complex numbers in mathematics;.(LO2) To develop the knowledge and understanding of all the classical holomorphic functions.(LO3) To be able to compute Taylor and Laurent series of standard holomorphic functions.(LO4) To understand various Cauchy formulae and theorems and their applications.(LO5) To be able to reduce a real definite integral to a contour integral.(LO6) To be competent at computing contour integrals.(S1) Problem solving skills(S2) Numeracy(S3) Adaptability
• Linear Algebra and Geometry (MATH244)
Level 2 15 First Semester 80:20 To introduce general concepts of linear algebra and its applications in geometry and other areas of mathematics. (LO1) To understand the geometric meaning of linear algebraic ideas.(LO2) To know the concept of an abstract vector space and how it is used in different mathematical situations.(LO3) To be able to apply a change of coordinates to simplify a linear map.(LO4) To be able to work with matrix groups, in particular GL(n), O(n) and SO(n),.(LO5) To understand bilinear forms from a geometric point of view.(S1) Problem solving skills(S2) Numeracy(S3) Adaptability
• Vector Calculus With Applications in Fluid Mechanics (MATH225)
Level 2 15 First Semester 85:15 •To provide an understanding of the various vector integrals, the operator’s div, grad and curl and the relations between them.•To give an appreciation of the many applications of vector calculus to physical situations.•To provide an introduction to the subjects of fluid mechanics and electromagnetism. (LO1) After completing the module students should be able to: - Work confidently with different coordinate systems. - Evaluate line, surface and volume integrals. - Appreciate the need for the operators div, grad and curl together with the associated theorems of Gauss and Stokes. - Recognise the many physical situations that involve the use of vector calculus. - Apply mathematical modelling methodology to formulate and solve simple problems in electromagnetism and inviscid fluid flow. All learning outcomes are assessed by both examination and course work.

Year Two Optional Modules

• Classical Mechanics (MATH228)
Level 2 15 Second Semester 90:10 To provide an understanding of the principles of Classical Mechanics and their application to dynamical systems. (LO1) To understand the variational principles, Lagrangian mechanics, Hamiltonian mechanics.(LO2) To be able to use Newtonian gravity and Kepler's laws to perform the calculations of the orbits of satellites, comets and planetary motions.(LO3) To understand the motion relative to a rotating frame, Coriolis and centripetal forces, motion under gravity over the Earth's surface.(LO4) To understand the connection between symmetry and conservation laws.(LO5) To be able to work with inertial and non-inertial frames.(S1) Applying mathematics to physical problems(S2) Problem solving skills
• Commutative Algebra (MATH247)
Level 2 15 Second Semester 90:10 To give an introduction to abstract commutative algebra and show how it both arises naturally, and is a useful tool, in number theory. (LO1) After completing the module students should be able to: • Work confidently with the basic tools of algebra (sets, maps, binary operations and equivalence relations). • Recognise abelian groups, different kinds of rings (integral, Euclidean, principal ideal and unique factorisation domains) and fields. • Find greatest common divisors using the Euclidean algorithm in Euclidean domains. • Apply commutative algebra to solve simple number-theoretic problems.
• Financial Mathematics (MATH260)
Level 2 15 Second Semester 0:0 To introduce geometric ideas and develop the basic skills in handling them.To study the line, circle, ellipse, hyperbola, parabola, cubics and many other curves.To study theoretical aspects of parametric, algebraic and projective curves.To study and sketch curves using an appropriate computer package. (LO1) Understand the assumptions of CAMP, explain the no riskless lending or borrowing and other lending and borrowing assumptions, be able to use the formulas of CAMP, be able to derive the capital market line and security market line(LO2) Describe the Arbitrage Theory Model (APT) and explain its assumptions, perform estimating and testing in APT(LO3) Be able to explain the terms long/short position, spot/delivery/forward price, understand the use of future contracts, describe what a call/put option (European/American) is and be able to makes graphs and explain their payouts, describe the hedging for reducing the exposure to risk, be able to explain arbitrage, understand the mechanism of short sales(LO4) Explain/describe what arbitrage is, and also the risk neutral probability measure, explain/describe and be able to use (perform calculation) the binomial tree for European and American style options(LO5) Understand the probabilistic interpretation and the basic concept of the random walk of asset pricing(LO6) Understand the concepts of replication, hedging, and delta hedging in continuous time(LO7) Be able to use Ito's formula, derive/use the Black‐Scholes formula, price contingent claims (in particular European/American style options and forward contracts), be able to explain the properties of the Black‐Scholes formula, be able to use the Normal distribution function in numerical examples of pricing(LO8) Understand the role of Greeks , describe intuitively what Delta, Theta, Gamma is, and be able to calculate them in numerical examples.

Year Three Optional Modules

• Applied Probability (MATH362)
Level 3 15 First Semester 200:0 To give examples of empirical phenomena for which stochastic processes provide suitable mathematical models. To provide an introduction to the methods of probabilistic model building for ‘‘dynamic" events occurring over time. To familiarise students with an important area of probability modelling. (LO1) 1. Knowledge and Understanding After the module, students should have a basic understanding of: (a) some basic models in discrete and continuous time Markov chains such as random walk and Poisson processes (b) important subjects like transition matrix, equilibrium distribution, limiting behaviour etc. of Markov chain (c) special properties of the simple finite state discrete time Markov chain and Poisson processes, and perform calculations using these.2. Intellectual Abilities After the module, students should be able to: (a) formulate appropriate situations as probability models: random processes (b) demonstrate knowledge of standard models (c) demonstrate understanding of the theory underpinning simple dynamical systems 3. General Transferable Skills (a) numeracy through manipulation and interpretation of datasets (b) communication through presentation of written work and preparation of diagrams (c) problem solving through tasks set in tutorials (d) time management in the completion of practicals and the submission of assessed work (e) choosing, applying and interpreting results of probability techniques for a range of different problems.
• Applied Stochastic Models (MATH360)
Level 3 15 Second Semester 100:0 To give examples of empirical phenomena for which stochastic processes provide suitable mathematical models. To provide an introduction to the methods of stochastic model building for 'dynamic' events occurring over time or space. To enable further study of the theory of stochastic processes by using this course as a base. (LO1) To understans the theory of continuous-time Markov chains.(LO2) To understans the theory of diffusion processes. (LO3) To be able to solve problems arising in epidemiology, mathematical biology, financial mathematics, etc. using the theory of continuous-time Markov chains and diffusion processes. (LO4) To acquire an undertanding of the standard concepts and methods of stochastic modelling.(S1) Problem solving skills(S2) Numeracy
• Cartesian Tensors and Mathematical Models of Solids and VIscous Fluids (MATH324)
Level 3 15 First Semester 100:0 To provide an introduction to the mathematical theory of viscous fluid flows and solid elastic materials. Cartesian tensors are first introduced. This is followed by modelling of the mechanics of continuous media. The module includes particular examples of the flow of a viscous fluid as well as a variety of problems of linear elasticity. (LO1) To understand and actively use the basic concepts of continuum mechanics such as stress, deformation and constitutive relations.(LO2) To apply mathematical methods for analysis of problems involving the flow of viscous fluid or behaviour of solid elastic materials.(S1) Problem solving skills(S2) Numeracy(S3) Adaptability
• Combinatorics (MATH344)
Level 3 15 First Semester 90:10 To provide an introduction to the problems and methods of Combinatorics, particularly to those areas of the subject with the widest applications such as pairings problems, the inclusion-exclusion principle, recurrence relations, partitions and the elementary theory of symmetric functions. (LO1) After completing the module students should be able to: understand of the type of problem to which the methods of Combinatorics apply, and model these problems; solve counting and arrangement problems; solve general recurrence relations using the generating function method; appreciate the elementary theory of partitions and its application to the study of symmetric functions.
• The Magic of Complex Numbers: Complex Dynamics, Chaos and the Mandelbrot Set (MATH345)
Level 3 15 Second Semester 90:10 1. To introduce students to the theory of the iteration of functions of one complex variable, and its fundamental objects;2. To introduce students to some topics of current and recent research in the field;3. To study various advanced results from complex analysis, and show how to apply these in a dynamical setting;4. To illustrate that many results in complex analysis are "magic", in that there is no reason to expect them in a real-variable context, and the implications of this in complex dynamics;5. To explain how complex-variable methods have been instrumental in questions purely about real-valued one-dimensional dynamical systems, such as the logistic family.6. To deepen students' appreciations for formal reasoning and proof. After completing the module, students should be able to: 1. understand the compactification of the complex plane to the Riemann sphere, and use spherical distances and derivatives. 2. use Möbius transformations to transform the Riemann sphere and to normalise complex dynamical systems. 3. state and apply the definitions of Julia and Fatou sets of polynomials, and understand their basic properties. 4. determine whether points with simple orbits, such as certain periodic points, belong to the Julia set or the Fatou set. 5. apply advanced results from complex analysis in the setting of complex dynamics. 6. determine whether certain types of quadratic polynomials belong to the Mandelbrot set or not. (LO1) To understand the compactification of the complex plane to the Riemann sphere, and be able to use spherical distances and derivatives.(LO2) To be able to use Möbius transformations to transform the Riemann sphere and to normalise complex dynamical systems.(LO3) To be able to state and apply the definitions of Julia and Fatou sets of polynomials, and understand their basic properties.(LO4) To be able to determine whether points with simple orbits, such as certain periodic points, belong to the Julia set or the Fatou set.(LO5) To know how to apply advanced results from complex analysis in a dynamical setting.(LO6) To be able to determine whether certain types of quadratic polynomials belong to the Mandelbrot set or not.(S1) Problem solving/ critical thinking/ creativity analysing facts and situations and applying creative thinking to develop appropriate solutions.(S2) Problem solving skills
• Differential Geometry (MATH349)
Level 3 15 Second Semester 85:15 This module is designed to provide an introduction to the methods of differential geometry, applied in concrete situations to the study of curves and surfaces in euclidean 3-space.  While forming a self-contained whole, it will also provide a basis for further study of differential geometry, including Riemannian geometry and applications to science and engineering. (LO1) 1a. Knowledge and understanding: Students will have a reasonable understanding of invariants used to describe the shape of explicitly given curves and surfaces.(LO2) 1b. Knowledge and understanding: Students will have a reasonable understanding of special curves on surfaces.(LO3) 1c. Knowledge and understanding: Students will have a reasonable understanding of the difference between extrinsically defined properties and those which depend only on the surface metric.(LO4) 1d. Knowledge and understanding: Students will have a reasonable understanding of the passage from local to global properties exemplified by the Gauss-Bonnet Theorem.(LO5) 2a. Intellectual abilities: Students will be able to use differential calculus to discover geometric properties of explicitly given curves and surfaces.(LO6) 2b. Intellectual abilities: Students will be able to understand the role played by special curves on surfaces.(LO7) 3a. Subject-based practical skills: Students will learn to compute invariants of curves and surfaces.(LO8) 3b. Subject-based practical skills: Students will learn to interpret the invariants of curves and surfaces as indicators of their geometrical properties.(LO9) 4a. General transferable skills: Students will improve their ability to think logically about abstract concepts,(LO10) 4b. General transferable skills: Students will improve their ability to combine theory with examples in a meaningful way.(S1) Problem solving skills(S2) Numeracy
• Further Methods of Applied Mathematics (MATH323)
Level 3 15 First Semester 100:0 •To give an insight into some specific methods for solving important types of ordinary differential equations.•To provide a basic understanding of the Calculus of Variations and to illustrate the techniques using simple examples in a variety of areas in mathematics and physics.•To build on the students'' existing knowledge of partial differential equations of first and second order. (LO1) After completing the module students should be able to: - use the method of "Variation of Arbitrary Parameters" to find the solutions of some inhomogeneous ordinary differential equations.- solve simple integral extremal problems including cases with constraints;- classify a system of simultaneous 1st-order linear partial differential equations, and to find the Riemann invariants and general or specific solutions in appropriate cases;- classify 2nd-order linear partial differential equations and, in appropriate cases, find general or specific solutions.  [This might involve a practical understanding of a variety of mathematics tools; e.g. conformal mapping and Fourier transforms.]
• Group Theory (MATH343)
Level 3 15 First Semester 100:0 To introduce the basic techniques of finite group theory with the objective of explaining the ideas needed to solve classification results. (LO1) Understanding of abstract algebraic systems (groups) by concrete, explicit realisations (permutations, matrices, Mobius transformations).(LO2) The ability to understand and explain classification results to users of group theory.(LO3) The understanding of connections of the subject with other areas of Mathematics.(LO4) To have a general understanding of the origins and history of the subject.(S1) Problem solving skills(S2) Logical reasoning
• Linear Statistical Models (MATH363)
Level 3 15 First Semester 70:30 - To understand how regression methods for continuous data extend to include multiple continuous and categorical predictors, and categorical response variables.- To provide an understanding of how this class of models forms the basis for the analysis of experimental and also observational studies.- To understand generalized linear models.- To develop skills in using the computer package SPSS. (LO1) Be able to understand the rationale and assumptions of linear regression and analysis of variance.(LO2) Be able to understand the rationale and assumptions of generalized linear models.(LO3) Be able to recognise the correct analysis for a given experiment.(LO4) Be able to carry out and interpret linear regressions and analyses of variance, and derive appropriate theoretical results.(LO5) Be able to carry out and interpret analyses involving generalised linear models and derive appropriate theoretical results.(LO6) Be able to perform linear regression, analysis of variance and generalised linear model analysis using the SPSS computer package.(S1) Be able to perform linear regression, analysis of variance and generalised linear model analysis using the SPSS computer package.
• Mathematical Economics (MATH331)
Level 3 15 Second Semester 100:0 · To explore, from a game-theoreticpoint of view, models which have been used to understand phenomena in whichconflict and cooperation occur.· To see the relevance of the theorynot only to parlour games but also to situations involving humanrelationships, economic bargaining (between trade union and employer, etc),threats, formation of coalitions, war, etc..· To treat fully a number ofspecific games including the famous examples of "The Prisoners'' Dilemma"and "The Battle of the Sexes".· To treat in detail two-personzero-sum and non-zero-sum games.· To give a brief review of n-persongames.· In microeconomics, to look atexchanges in the absence of money, i.e. bartering, in which two individualsor two groups are involved. To see how the Prisoner''s Dilemmaarises in the context of public goods. (LO1) After completing the module students should: Have further extended their appreciation of the role of mathematics in modelling in Economics and the Social Sciences. .Be able to formulate, in game-theoretic terms, situations of conflict and cooperation. ·Be able to solve mathematically a variety of standard problems in the theory of games. ·To understand the relevance of such solutions in real situations.
• Mathematical Risk Theory (MATH366)
Level 3 15 Second Semester 200:0 •To provide an understanding of the mathematical risk theory used in the study process of actuarial interest• To provide an introduction to mathematical methods for managing the risk in insurance and finance (calculation of risk measures/quantities)• To develop skills of calculating the ruin probability and the total claim amount distribution in some non‐life actuarial risk models with applications to insurance industry• To prepare the students adequately and to develop their skills in order to be ready to sit for the exams of CT6 subject of the Institute of Actuaries (MATH366 covers 50% of CT6 in much more depth). (LO1) After completing the module students should be able to: (a) Define the loss/risk function and explain intuitively the meaning of it, describe and determine optimal strategies of game theory, apply the decision criteria's, be able to decide a model due to certain model selection criterion, describe and perform calculations with Minimax and Bayes rules. (b) Understand the concept (and the mathematical assumptions) of the sums of independent random variables, derive the distribution function and the moment generating function of finite sums of independent random variables.(c) Define and explain the compound Poisson risk model, the compound binomial risk model, the compound geometric risk model and be able to derive the distribution function, the probability function, the mean, the variance, the moment generating function and the probability generating function for exponential/mixture of exponential severities and gamma (Erlang) severities, be able to calculate the distribution of sums of independent compound Poisson random variables. (d) Understand the use of convolutions and compute the distribution function and the probability function of the compound risk model for aggregate claims using convolutions and recursion relationships.(e) Define the stop‐loss reinsurance and calculate the (mean) stop‐loss premium for exponential and mixtures of exponential severities, be able to compare the original premium and the stoploss premium in numerical examples.(f) Understand and be able to use Panjer's equation when the number of claims belongs to theR(a, b, 0) class of distributions, use the Panjer's recursion in order to derive/evaluate the probability function for the total aggregate claims.(g) Explain intuitively the individual risk model, be able to calculate the expected losses (as well as the variance) of group life/non‐life insurance policies when the benefits of the each person of the group are assumed to have deterministic variables.(h) Derive a compound Poisson approximations for a group of insurance policies (individual risk model as approximation), (i) Understand/describe the classical surplus process ruin model and calculate probabilities of the number of the risks appearing in a specific time period, under the assumption of the Poisson process.(j) Derive the moment generating function of the classical compound Poisson surplus process, calculate and explain the importance of the adjustment coefficient, also be able to make use of Lundberg's inequality for exponential and mixtures of exponential claim severities.(k) Derive the analytic solutions for the probability of ruin, psi(u), by solving the corresponding integro‐differential equation for exponential and mixtures of exponential claim amount severities, (l) Define the discrete time surplus process and be able to calculate the infinite ruin probability, psi(u,t) in numerical examples (using convolutions). (m) Derive Lundberg's equation and explain the importance of the adjustment coefficient under the consideration of reinsurance schemes.(n) Understand the concept of delayed claims and the need for reserving, present claim data as a triangle (most commonly used method), be able to fill in the lower triangle by comparing present data with past (experience) data.(o) Explain the difference and adjust the chain ladder method, when inflation is considered.(p) Describe the average cost per claim method and project ultimate claims, calculate the required reserve (by using the claims of the data table).(q) Use loss ratios to estimate the eventual loss and hence outstanding claims.(r) Describe the Bornjuetter‐Ferguson method (be able to understand the combination of the estimated loss ratios with a projection method). Use the aforementioned method to calculate the revised ultimate losses (by making use of the credibility factor).
• Measure Theory and Probability (MATH365)
Level 3 15 First Semester 90:10 The main aim is to provide a sufficiently deepintroduction to measure theory and to the Lebesgue theory of integration. Inparticular, this module aims to provide a solid background for the modernprobability theory, which is essential for Financial Mathematics. (LO1) After completing the module students should be ableto:(LO2) master the basic results about measures and measurable functions;(LO3) master the basic results about Lebesgue integrals and their properties;(LO4) to understand deeply the rigorous foundations ofprobability theory;(LO5) to know certain applications of measure theoryto probability, random processes, and financial mathematics.(S1) Problem solving skills(S2) Logical reasoning
• Medical Statistics (MATH364)
Level 3 15 Second Semester 100:0 The aims of this module are to:•Demonstrate the purpose of medical statistics and the role it plays in the control of disease and promotion of health •Explore different epidemiological concepts and study designs •Apply statistical methods learnt in other programmes, and some new concepts, to medical problems and practical epidemiological research •Enable further study of the theory of medical statistics by using this module as a base. (LO1) identify the types of problems encountered in medical statistics(LO2) demonstrate the advantages and disadvantages of different epidemiological study designs(LO3) apply appropriate statistical methods to problems arising in epidemiology and interpret results(LO4) explain and apply statistical techniques used in survival analysis(LO5) critically evaluate statistical issues in the design and analysis of clinical trials(LO6) discuss statistical issues related to systematic review and apply appropriate methods of meta-analysis(LO7) apply Bayesian methods to simple medical problems.(S1) Problem solving skills
• Networks in Theory and Practice (MATH367)
Level 3 15 First Semester 100:0 •To develop an appreciation of network models for real world problems.•To describe optimisation methods to solve them.•To study a range of classical problems and techniques related to network models. (LO1) After completing the module students should be able to model problems in terms of networks and be able to apply effectively a range of exact and heuristic optimisation techniques.
• Number Theory (MATH342)
Level 3 15 Second Semester 100:0 To give an account of elementary number theory with use of certain algebraic methods and to apply the concepts to problem solving. (LO1) To understand and solve a wide range of problems about integers numbers.(LO2) To have a better understanding of the properties of prime numbers.(S1) Problem solving skills(S2) Numeracy(S3) Communication skills
• Numerical Analysis for Financial Mathematics (MATH371)
Level 3 15 Second Semester 80:20 1. To provide basic background in solving mathematical problems numerically, including understanding of stability and convergence of approximations to exact solution.2. To acquaint students with two standard methods of derivative pricing: recombining trees and Monte Carlo algorithms.3. To familiarize students with implementation of numerical methods in a high level programming language. (LO2) Ability to analyse a simple numerical method for convergence and stability(LO3) Ability to formulate approximations to derivative pricing problems numerically.(LO4) Ability to program matlab for pricing options(LO5) Awareness of the major issues when solving mathematical problems numerically.(S1) Problem solving skills(S2) Numeracy
• Professional Projects and Employability in Mathematics (MATH390)
Level 3 15 First Semester 0:100 The first aim of the module is to further develop students' problem solving abilities and ability to select techniques and apply mathematical knowledge to authentic work-style situations. Specifically, within this aim, the module aims to:1) develop students' ability to solve a problem in depth over an extended period and produce reports;2) develop students' ability to communicate mathematical results to audiences of differing technical ability, including other mathematicians, business clients and the general public;3) develop an appreciation of how groups operate, different roles in group work, and the different skills required to successfully operate as a team.The second aim of the module is to develop students' employability skills in key areas such as public speaking, task management and professionalism. (LO1) Select appropriate techniques and apply mathematical knowledge to solve problems related to real-world phenomena.(LO2) Communicate mathematical results to audiences of differing technical ability via different methods.(LO3) Reflect on skills development and identify areas for further development.(LO4) Articulate employability skills.(LO5) Produce reports based on the development of a piece of work, in depth over an extended period of time.(S1) Problem solving skills(S2) Commercial awareness(S3) Adaptability(S4) Teamwork(S5) Organisational skills(S6) Communication skills
• Quantum Mechanics (MATH325)
Level 3 15 First Semester 90:10 The aim of the module is to lead the student to an understanding of the way that relatively simple mathematics (in modern terms) led Bohr, Einstein, Heisenberg and others to a radical change and improvement in our understanding of the microscopic world. (LO1) To be able to solve Schrodinger's equation for simple systems.(LO2) To have an understanding of the significance of quantum mechanics for both elementary systems and the behaviour of matter.(S1) Problem solving skills(S2) Numeracy
• Relativity (MATH326)
Level 3 15 First Semester 100:0 To impart(i) a firm grasp of the physical principles behind Special and General Relativity and their main consequences;(ii) technical competence in the mathematical framework of the subjects - Lorentz transformation, coordinate transformations and geodesics in Riemann space;(iii) knowledge of some of the classical tests of General Relativity - perihelion shift, gravitational deflection of light;(iv)basic concepts of black holes and (if time) relativistic cosmology. (LO1) After completing this module students should understand why space-time forms a non-Euclidean four-dimensional manifold.(LO2) After completing this module students should be proficient at calculations involving Lorentz transformations, energy-momentum conservation, and the Christoffel symbols.(LO3) After completing this module students should understand the arguments leading to the Einstein's field equations and how Newton's law of gravity arises as a limiting case.(LO4) After completing this module students should be able to calculate the trajectories of bodies in a Schwarzschild space-time.
• Statistical Physics (MATH327)
Level 3 15 Second Semester 0:20 1. To develop an understanding of the foundations of Statistical Physics normally including statistical ensembles and related extensive and intrinsic quantities.2. To develop an understanding of the properties of classical and quantum gases and an appreciation of their applications to concepts such as the classical equation of state or the statisticaltheory of photons.3. To obtain a reasonable level of skill in using computer simulations for describing diffusion and transport in terms of stochastic processes.4. To knowledge the laws of thermodynamics and thermodynamical cycles.5. To obtain a reasonable understanding of interacting statistical systems and related phenomenons such as phase transitions. (LO1) Demonstrate understanding of the microcanonical, canonical and grand canonical ensembles, their relation and the derived concepts of entropy, temperature and particle numberdensity.(LO2) Understand the derivation of the equation-of-state for non-interacting classical or quantum gases.(LO3) Demonstrate numerical skills to understand diffusion from an underlying stochastic process.(LO4) Know the laws of thermodynamics and demonstrate their application to thermodynamic cycles.(LO5) Be aware of the effect of interactions including an understanding of the origin of phase transitions.(S1) Problem solving skills(S2) Numeracy(S3) Adaptability(S4) Communication skills(S5) IT skills(S6) Organisational skills(S7) Teamwork
• Stochastic Theory and Methods in Data Science (MATH368)
Level 3 15 Second Semester 70:30 1. To develop a understanding of the foundations of stochastics normally including processes and theory.2. To develop an understanding of the properties of simulation methods and their applications to statistical concepts.3. To develop skills in using computer simulations such as Monte-Carlo methods4. To gain an understanding of the learning theory and methods and of their use in the context of machine learning and statistical physics.5. To obtain an understanding of particle filters and stochastic optimisation. (LO1) Develop understanding of the use of probability theory.(LO2) Understand stochastic models and the use statistical data.(LO3) Demonstrate numerical skills for the understanding of stochastic processes.(LO4) Understand the main machine learning techniques.
• Maths Summer Industrial Research Project (MATL391)
Level 3 15 First Semester 0:100 To acquire knowledge and experience of some of the ways in which mathematics is applied, directly or indirectly, in the workplace.To gain knowledge and experience of work in an industrial or business environment.Improve the ability to work effectively in small groups.Skills in writing a substantial report, with guidance but largely independently This report will have mathematical content, and may also reflect on the work experience as a whole.Skills in giving an oral presentation to a (small) audience of staff and students. (LO1) To have knowledge and experience of some of the ways in which mathematics is applied, directly or indirectly, in the workplace(LO2) To have gained knowledge and experience of work on industrial or business problems.(LO3) To acquire skills of writing, with guidance but largely independently, a research report. This report will have mathematical content.(LO4) To acquire skills of writing a reflective log documenting their experience of project development.(LO5) To have gained experience in giving an oral presentation to an audience of staff, students and industry representatives.
• Topology (MATH346)
Level 3 15 Second Semester 100:0 1. To introduce students to the mathematical notions of space and continuity.2. To develop students’ ability to reason in an axiomatic framework.3. To provide students with a foundation for further study in the area of topology and geometry, both within their degree and subsequently.4. To introduce students to some basic constructions in topological data analysis.5. To enhance students’ understanding of mathematics met elsewhere within their degree (in particular real and complex analysis, partial orders, groups) by placing it within a broader context.6. To deepen students’ understanding of mathematical objects commonly discussed in popular and recreational mathematics (e.g. Cantor sets, space-filling curves, real surfaces). (IM1) An understanding of the ubiquity of topological spaces within mathematics.(IM2) Knowledge of a wide range of examples of topological spaces, and of their basic properties.(IM3) The ability to construct proofs of, or counter-examples to, simple statements about topological spaces and continuous maps.(IM4) The ability to decide if a (simple) space is connected and/or compact.(IM5) The ability to construct the Cech and Vietoris-Rips complexes of a point set in Euclidean spac. e(IM6) The ability to compute the fundamental group of a (simple) space, and to use it to distinguish spaces.

Programme Year Four

There is a large set of modules available, some of which are taught in alternate years. MMath students will take at least seven of these during Years Three and Four. There is also a compulsory project.

Year Four Compulsory Modules

• Project for M.math (MATH490)
Level M 30 Whole Session 0:100 To demonstrate a critical understanding and historical appreciation of some branch of mathematics by means of directed reading and preparation of a report.The MATH490 project should treat its subject at a more advanced level and in greater depth than the MATH399 or MATH499 projects. Working on this year-long project can provide a good base to continue mathematical studies through PhD. (LO1) After researching and preparing the report the student should have gained a greater understanding of the chosen mathematical topic. - gained an appreciation of the historical context.(LO2) Learned how to abstract mathematical concepts and explain them(LO3) Had experience in consulting related relevant literature.(LO4) Learned how to construct a written project report.(LO5) Had experience in making an oral presentation.(LO6) Gained familiarity with a scientific word-processing pakage such as LaTeX or TeX.

Year Four Optional Modules

• Advanced Topics in Mathematical Biology (MATH426)
Level M 15 Second Semester 100:0 To introduce some hot problems of contemporary mathematical biology, including analysis of developmental processes, networks and biological mechanics. To further develop mathematical skills in the areas of difference equations and ordinary and partial differential equations.To explore biological applications of fluid dynamics in the limit of low and high Reynolds number. (LO1) To familiarise with mathematical modelling methodology used in contemporary mathematical biology.(LO2) Be able to use techniques from difference equations and ordinary and partial differential equations in tackling problems in biology.(S1) Numeracy/computational skills - Problem solving
• Algebraic Geometry (MATH448)
Level M 15 Second Semester 90:10 To give a detailed explanation of basic concepts and methods of algebraic geometry in terms of coordinates and polynomial algebra, supported by strong geometrical intuition.To elaborate examples and to explain the basic constructions of algebraic geometry, such as projections, products, blowing up, intersection multiplicities, linear systems, vector bundles, etc.To understand in detail the proofs of several fundamental results in algebraic geometry on the structure of birational maps and intersection theory. To take the first steps in acquiring the technique of linear systems, vector bundles and differential forms. To know:basic concepts of smooth geometry and algebraic geometry.​To understand: the interplay between local and global geometry, the duality between differential forms and submanifolds, between curves and divisors, between algebraic and geometric data.​To be able to: perform elementary computations with differential forms, patch together local objects into global ones, compute elementary intersection indices.
• Asymptotic Methods for Differential Equations (MATH433)
Level M 15 Second Semester 100:0 This module provides an introduction into the perturbation theory for  partial differential equations. We consider singularly and regularly perturbed problems and applications in electro-magnetism, elasticity, heat conduction and propagation of waves. (LO1) The ability to make appropriate use of asymptotic approximations.(LO2) The ability to analyse boundary layer effects.(LO3) The ability to use the method of compound asymptotic expansions in the analysis of singularly perturbed problems.(S1) Problem solving skills(S2) Numeracy
• Curves and Singularities (MATH443)
Level M 15 First Semester 100:0 To show how singularity theory can be applied to a variety of geometrical problems, including problems arising in applications such as the study of families of curves in the plane, wavefronts. A confident use of the singularity theory of functions of one variable, including unfolding theory, in concrete applications.​A knowledge of fundamental constructions such as that of an envelope of curves or surfaces, and the dual of a curve or surface.  ​A grounding in the theory of differentiable manifolds and transversality as geometrical tools. ​A preparation for further study of singularity theory, including functions of several variables and mappings, and elements of symplectic geometry.
• Differentiable Functions (MATH455)
Level M 15 First Semester 90:10 To give an introduction to the study of local singularities of differentiable functions and mappings. To know and be able to apply the ​technique of reducing functions to local normal forms.​​​To understand the concept of stability of mappings and its applications.​​​To be able to construct versal deformations of isolated function singularities.​
• Elliptic Curves (MATH444)
Level M 15 Second Semester 90:10 To provide an introduction to the problems and methods in the theory of elliptic curves. To investigate the geometry of ellptic curves and their arithmetic in the context of finite fields, p-adic fields and rationals. To outline the use of elliptic curves in cryptography. (LO1) The ability to describe and to work with the group structure on a given elliptic curve.(LO2) Understanding and application of the Abel-Jacobi theorem.(LO3) To estimate the number of points on an elliptic curve over a finite field.(LO4) To use the reduction map to investigate torsion points on a curve over Q.(LO5) To apply descent to obtain so-called Weak Mordell-Weil Theorem.(LO6) Use heights of points on elliptic curves to investigate the group of rational points on an elliptic curve.(LO7) Understanding and application of Mordell-Weil theorem. Encode and decode using public keys.(S1) Problem solving skills
• Geometry of Continued Fractions (MATH447)
Level M 15 Second Semester 100:0 To give an introduction to the current state of the art in geometry of continued fractions and to study how classical theorems can be visualized via modern techniques of integer geometry. (LO1) To be able to find best approximations to realnumbers and to homogeneous decomposable forms.(LO2) To be able to use techniques of geometric continuedfractions for quadratic irrationalities (Lagrange’s theorem, Markov spectrum).(LO3) To be able to use lattice trigonometry in the studyof toric varieties.(LO4) To be able to compute relative frequencies of facesin multidimensional continued fractions.(LO5) To be able to use multidimensional continuedfractions to study properties of algebraic irrationalities of higher degree.(S1) Adaptability(S2) Problem solving skills(S3) Numeracy
• Higher Arithmetic (MATH441)
Level M 15 First Semester 100:0 This module is designed to provide an introduction to topics in Analytic Number Theory, including the worst and average case behaviour of arithmetic functions, properties of the Riemann zeta function, and the distribution of prime numbers. Be able to apply analytic techniques to arithmetic functions.​Understand basic analytic properties of the Riemann zeta function.​​Understand Dirichlet characters and L-series.​​Understand the connection between Ingham''s theorem and the Prime Number Theorem.​
• Introduction to Knot Theory and Low Dimensional Topology (MATH456)
Level M 15 First Semester 100:0 To give an introduction to low dimensional topology and in particular, to some elementary but meaningful invariants of knots and likns in 3-space. After completing the course the students will be able to - tell whether two simple knots in 3-space can be transformed into one another without cutting or tearing;  ​ - compute the Jones, Alexander, HOMFLY and Kauffman polynomials in simple cases;  ​- give examples of orientable surfaces that bound a given knot in 3-space;  ​ - determine whether two braids (say given by their diagrams) represent the same element in the braid group;  ​- compute the genus and the Euler characteristic of 2-manifold;  ​- compute the genus of a ramified covering of a 2-manifold.
• Introduction to Modern Particle Theory (MATH431)
Level M 15 Second Semester 100:0 To provide a broad understanding of the current status of elementary particle theory. To describe the structure of the Standard Model of particle physics and its embedding in Grand Unified Theories. To understand the Lorentz and Poincare groups and their role in classification of elementary particles.​To understand the basics of Langrangian and Hamiltonian dynamics and the differential equations of bosonic and fermionic wave functions.​To understand the basic elements of field quantisation. ​ ​To understand the Feynman diagram pictorial representation of particle interactions.​To understand the role of symmetries and conservation laws in distinguishing the strong, weak and electromagnetic interactions.​To be able to describe the spectrum and interactions of elementary particles and their embedding into Grand Unified Theories (GUTs)To understand the flavour structure of the standard particle model and generation of mass through symmetry breaking​.​To understand the phenomenological aspects of Grand Unified Theories.
• Introduction to String Theory (MATH423)
Level M 15 Second Semester 100:0 To provide a broad understanding of string theory, and its utilization as a theory that unifies all of the known fundamental matter and interactions. (LO1) After completing the module the students should: - be familiar with the properties of the classical string.(LO2) be familiar with the basic structure of modern particle physics and how it may arise from string theory.(LO3) be familiar with the basic properties of first quantized string and the implications for space-time dimensions.(LO4) be familiar with string toroidal compactifications and T-duality.(S1) Problem solving skills(S2) Numeracy
• Linear Differential Operators in Mathematical Physics (MATH421)
Level M 15 First Semester 90:10 This module provides a comprehensive introduction to the theory of partial differential equations, and it provides illustrative applications and practical examples in the theory of elliptic boundary value problems, wave propagation and diffusion problems. (LO1) To understand and actively use the basic concepts of mathematical physics, such as generalised functions, fundamental solutions and Green's functions.(LO2) To apply powerful mathematical methods to problems of electromagnetism, elasticity, heat conduction and wave propagation.
• Manifolds, Homology and Morse Theory (MATH410)
Level M 15 First Semester 100:0 To give an introduction to the topology of manifolds, emphasising the role of homology as an invariant and the role of Morse theory as a visualising and calculational tool. To be able to: •   give examples of manifolds, particularly in low dimensions; •   compute homology groups, Euler characteristics and degrees of maps in simple cases; •   determine whether an explicitly given function is Morse and to identify its critical points and their indices; •   use the Morse inequalities to estimate the ranks of homology groups; •   use the Morse complex to compute Euler characteristics and, in simple cases, homology.
• Project for M.math (MATH499)
Level M 15 Whole Session 0:100 To demonstrate a critical understanding and historical appreciation of some branch of mathematics by means of directed reading and preparation of a report. Students doing this project in certain areas will become effective in the use of appropriate software/coding. (LO1) After researching and preparing the report the student should have: - gained a greater understanding of the chosen mathematical topic. - gained an appreciation of the historical context. - learned how to abstract mathematical concepts and explain them. - had experience in consulting related relevant literature. - learned how to construct a written project report. - had experience in making an oral presentation. - gained familiarity with a scientific word-processing package such as LaTeX or TeX.
• Quantum Field Theory (MATH425)
Level M 15 First Semester 100:0 To provide a broad understanding of the essentials of quantum field theory. (LO1) After the course the students should understand the important features of the mathematical tools necessary for particle physics. In particular they should ·      be able to compute simple Feynman diagrams, ·      understand the basic principles of regularisation and renormalisation ·      be able to calculate elementary scattering cross-sections.
• Representation Theory of Finite Groups (MATH442)
Level M 15 First Semester 90:10 Representation theory is one of the standard tools used in the investigation of finite groups, especially via the character of a representation.  This module will be an introduction to these ideas with emphasis of the calculation of character tables for specific groups. (LO1) After completing this module students should be able to  ·       use representation theory as a tool to understand finite groups;(LO2)  calculate character tables of a variety of groups.(S1) Problem solving skills(S2) Numeracy
• Riemann Surfaces (MATH445)
Level M 15 Second Semester 100:0 To introduce to a beautiful theory at the core of modern mathematics. Students will learn how to handle some abstract geometric notions from an elementary point of view that relies on the theory of holomorphic functions. This will provide those who aim to continue their studies in mathematics with an invaluable source of examples, and those who plan to leave the subject with the example of a modern axiomatic mathematical theory. (LO1) Students should be familiar with the most basic examples of Riemann surfaces: the Riemann sphere, hyperelliptic Riemann surfaces, and smooth plane algebraic curves.(LO2) Students should understand and be able to use the abstract notions used to build the theory: holomorphic maps, meromorphic differentials, residues and integrals, Euler characteristic and genus.(LO3) Students should know different techniques to calculate the genus and the dimensions of spaces of meromorphic functions, and they should have acquired some understanding of uniformisation.(S1) Problem solving skills
• Stochastic Analysis and Its Applications (MATH483)
Level M 15 Second Semester 100:0 This module aims to demonstrate the advanced mathematical techniques underlying financial markets and the practical use of financial derivative products to analyse various problems arising in financial markets. Emphases are on the stochastic techniques, probability theory, Markov processes and stochastic calculus, together with the related applications (LO1) A critical awareness of current problems and research issues in the fields of probability and stochastic processes, stochastic analysis and financial mathematics.(LO2) The ability to formulate stochastic cuclulus for the purpose of modelling particular financial questions.(LO3) The ability to read, understand and communicate research literature in the fields of probability, stochastic analysis and financial mathematics.(LO4) The ability to recognise potential research opportunities and research directions.
• Variational Calculus and Its Applications (MATH430)
Level M 15 First Semester 90:10 This module provides a comprehensive introduction to the theory of the calculus of variations, providing illuminating applications and examples along the way. (LO1) Students will posses a solid understanding of the fundamentals of variational calculus(LO2) Students will be confident in their ability to apply the calculus of variations to range of physical problems(LO3) Students will also have the ability to solve a wide class of non-physical problems using variational methods(LO4) Students will develop an understanding of Hamiltonian formalism and have the ability to apply this framework to solve physical and non-physical problems(LO5) Students will be confident in their ability to analyse variational symmetries and generate the associated conservation laws(S1) Problem solving skills(S2) Numeracy
• Waves, Mathematical Modelling (MATH427)
Level M 15 Second Semester 100:0 This module gives an introduction to the mathematical theory of linear and non-linear waves. Illustrative applications involve problems of acoustics, gas dynamics and examples of solitary waves. (LO1) To understand essential modelling techniques in problems of wave propagation.(LO2) To understand that mathematical models of the same type can be successfully used to describe different physical phenomena.(LO3) To understand background mathematical theory in models of acoustics, gas dynamics and water  waves.(S1) Problem solving skills(S2) Numeracy

The programme detail and modules listed are illustrative only and subject to change.

Teaching and Learning

Your learning activities will consist of lectures, tutorials, practical classes, problem classes, private study and supervised project work. In Year One, lectures are supplemented by a thorough system of group tutorials and computing work is carried out in supervised practical classes. Key study skills, presentation skills and group work start in first-year tutorials and are developed later in the programme. The emphasis in most modules is on the development of problem solving skills, which are regarded very highly by employers. Project supervision is on a one-to-one basis, apart from group projects in Year Two.

Assessment

Most modules are assessed by a two and a half hour examination in January or May, but many have an element of coursework assessment. This might be through homework, class tests, mini-project work or key skills exercises.