Mathematics and Economics BSc (Hons)

Key information


maths-3

Module details

Due to the impact of COVID-19 we're changing how the course is delivered.

Programme Year One

After passing the first year, you have the flexibility of transfer to Economics if you wish, subject to approval.

Year One Compulsory Modules

  • Calculus I (MATH101)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting50:50
    Aims

    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.

    Learning Outcomes

    (LO1) Understand the key definitions that underpin real analysis and interpret these in terms of straightforward examples.

    (LO2) Apply the methods of calculus and real analysis to solve previously unseen problems (of a similar style to those covered in the course).

    (LO3) Understand in interpret proofs in the context of real analysis and apply the theorems developed in the course to straightforward examples.

    (LO4) Independently construct proofs of previously unseen mathematical results in real analysis (of a similar style to those demonstrated in the course).

    (LO5) Differentiate and integrate a wide range of functions;

    (LO6) Sketch graphs and solve problems involving optimisation and mensuration

    (LO7) 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)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting0:100
    Aims

    To discuss local behaviour of functions using Taylor’s theorem.
    To introduce multivariable calculus including partial differentiation, gradient, extremum values and double integrals.

    Learning Outcomes

    (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.

  • Introduction to Linear Algebra (MATH103)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting45:55
    Aims

    • 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

    Learning Outcomes

    (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.

    (S1) Numeracy

  • Introduction to Statistics Using R (MATH163)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    1. Use software R to display and analyse data, perform tests and demonstrate basic statistical concepts.

    2. Describe statistical data and display it using variety of plots and diagrams.

    3. Understand basic laws of probability: law of total probability, independence, Bayes’ rule.

    4. Be able to estimate mean and variance.

    5. Be familiar with properties of some probability distributions and relations between them: Binomial, Poisson, Normal, t, Chi-squared.

    6. To perform simple statistical tests: goodness-of-fit test, z-test, t-test.

    7. To understand and be able to interpret p-values.

    8. To be able to report finding of statistical outcomes to non-specialist audience.

    9. Group work will help students to develop transferable skills such as communication, the ability to coordinate and prioritise tasks, time management and teamwork.

    Learning Outcomes

    (LO1) An ability to apply statistical concepts and methods covered in the module's syllabus to well defined contexts and interpret results.

    (LO2) An ability to understand, communicate, and solve straightforward problems related to the theory and derivation of statistical methods covered in the module's syllabus.

    (LO3) An ability to understand, communicate, and solve straightforward theoretical and applied problems related to probability theory covered in the syllabus.

    (LO4) Use the R programming language fluently in well-defined contexts. Students should be able to understand and correct given code; select appropriate code to solve given problems; select appropriate packages to solve given problems; and independently write small amounts of code.

  • Principles of Microeconomics (ECON121)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting80:20
    Aims

    This module aims to provide students with a clear foundation of the purpose, scope and topics of microeconomic analysis. Students will develop their ability to think critically and analytically, and understand how to frame real world problems in an economic model. This module forms the starting point for all future courses in Microeconomics.  
    This module also emphasizes the role of mathematics in economics.

    Learning Outcomes

    (LO1) Students will have the ability to understand, explain, analyse and solve core problems in microeconomics.

    (LO2) Students will be able to practice and develop their mathematical techniques and understand the role of mathematical analysis in microeconomics.

    (LO3) Students will be able to familiarise themselves with the principles of using an 'economic model' and how to model individual decision-making for both consumers and producers.

    (LO4) Students will be able to apply their understanding of economic decision-making, optimisation and equilibrium to real world situations.

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Communication skills

    (S4) IT skills

  • Mathematical It Skills (MATH111)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    •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.

    Learning Outcomes

    (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

  • Principles of Macroeconomics (ECON123)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting40:60
    Aims

    The aims of this module are:
    To complement and build on Principles of Microeconomics and to provide a foundation for further studies in macroeconomics.
    To introduce concepts and theories of economics which help understand changes in the macroeconomic environment.
    To explain and analyse the formulation of government macroeconomic policy.

    Learning Outcomes

    (LO1) Explain the relationship between expenditures and national income and demonstrate how monetary and fiscal policies may be used to influence them

    (LO2) Explain the behaviour of economic aggregates such as national income, inflation and unemployment over time

    (LO3) Explain and assess government policy in a range of policy situations

    (LO4) Explain the framework of national income accounting

    (LO5) Use graphical and algebraic modelling to analyse the economy and economic policy

    (LO6) Explain the interconnections between the markets for goods, money and labour

    (LO7) Explain the principal influences on long-term growth and the short-run fluctuation in output around the long-run growth trend

    (LO8) Locate, select and analyse information relevant to assessing the state of the economy and economic policy

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Commercial awareness

    (S4) Teamwork

    (S5) Organisational skills

    (S6) Communication skills

    (S7) International awareness

    (S8) Lifelong learning skills

    (S9) Ethical awareness

  • Introduction to Finance (ACFI103)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims

    This module aims:
    to introduce the students to finance.
    to provide a firm foundation for the students to build on later on in the second and third years of their programmes, by covering basic logical and rational analytical tools that underpin financial decisions  

    Learning Outcomes

    (LO1) Understand the goals and governance of the firm, how financial markets work and appreciate the importance of finance.

    (LO2) Understand the time value of money.

    (LO3) Understand the determinants of bond yields.

    (LO4) Recognize how stock prices depend on future dividends and value stock prices.

    (LO5) Understand net present value rule and other criteria used to make investment decisions.

    (LO6) Understand risk, return and the opportunity cost of capital.

    (LO7) Understand the risk-return tradeoff, and know the various ways in which capital can be raised and determine a firm's overall cost of capital.

    (LO8) Know different types of options, and understand how options are priced.

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Commercial awareness

    (S4) Teamwork

    (S5) Organisational skills

    (S6) Communication skills

    (S7) IT skills

    (S8) International awareness

    (S9) Lifelong learning skills

    (S10) Ethical awareness

Programme Year Two

Year two optional modules: Choose one module from: ECON241, ECON211, ECON224

Choose three additional modules (one in semester 1 and two in semester 2)

Year Two Compulsory Modules

  • Statistics and Probability I (MATH253)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting50:50
    Aims

    Use the R programming language fluently to analyse data, perform tests, ANOVA and SLR, and check assumptions.

    Develop confidence to understand and use statistical methods to analyse and interpret data; check assumptions of these methods.

    Develop an awareness of ethical issues related to the design of
    studies.

    Learning Outcomes

    (LO1) An ability to apply advanced statistical concepts and methods covered in the module's syllabus to well defined contexts and interpret results.

    (LO2) Use the R programming language fluently for a broad selection of statistical tests, in well-defined contexts.

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) IT skills

    (S4) Communication skills

  • Econometrics 1 (ECON212)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    Econometrics is concerned with the testing of economic theory using real world data. This module introduces the subject by focusing on the principles of Ordinary Least Squares regression analysis. The module will provide practical experience via regular laboratory session.   This module also aims to equip students with the necessary foundations in econometrics to successfully study more advanced modules such as ECON213  Econometrics II, ECON311  Methods of Economic Investigation: Time Series Econometrics and ECON312 Methods of Economic Investigation 2: Microeconometrics.

    Learning Outcomes

    (LO1) Reinforce the  understanding of fundamental principles of statistics, probability and mathematics to be used in the context of econometric analysis

    (LO2) Estimate simple regression models with pen and paper using formulae and with the econometric software EViews8

    (LO3) Understand the assumptions underpinning valid estimation and inference in regression models

    (LO4) Formulate and conduct intervals of confidence and tests of hypotheses

    (LO5) Evaluate the impact that changes in the unit of accounts of variables and changes in the functional form of equations may have upon the results of OLS and their interpretation

    (LO6) Assess the goodness of results by means of appropriate tests and indicators

    (LO7) Assess predictions

    (LO8) Extend analysis to the context of multiple linear regression

    (LO9) Use EViews7 to estimate simple linear regression models  and multiple linear regression models

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) IT skills

  • Microeconomics 1 (ECON221)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    This module, in accordance with Microeconomics 2, aims to provide a solid foundation of intermediate level microeconomic theory. It develops and extends three of the topics introduced in Principles of Microeconomics, namely, Consumer Theory, Producer Theory and General Equilibrium. It prepares the students for the more advanced modules in the second and third year like Microeconomics 2 and Game Theory.

    Learning Outcomes

    (LO1) Students will be able to demonstrate a thorough understanding of the core concepts and models used in consumer theory, producer theory and general equilibrium and an ability to apply these to arange of markets and settings.

    (LO2) Students will be able to think and apply themselves analytically to problems in the above-mentioned topics.

    (LO3) Students will be able to gain problem solving skills using verbal, diagrammatic and mathematical methods to problems in the above topics.

    (LO4) Students will be able to have a critical perspective regarding the assumptions underlying microeconomics models.

    (S1) Adaptability

    (S2) Problem solving skills

    (S3) Numeracy

    (S4) Organisational skills

    (S5) communication skills

    (S6) IT skills

    (S7) Lifelong learning skills

  • Microeconomics 2 (ECON222)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims

    This module, following on from with Microeconomics 1, aims to provide a solid foundation of intermediate level microeconomic theory. 
    The module uses the theoretical foundations developed in the first semester and aims to extend the application of the skills acquired to more advanced topics such as welfare economics.
    This module also aims to prepare students for the more advanced modules in the third year by introducing topics such as asymmetric information and game theory.

    Learning Outcomes

    (LO1) Have a thorough understanding of the core concepts and models used in Welfare Economics, Asymmetric Information, and Game Theory.

    (LO2) To prepare students to think and apply themselves to analyse a range of problems in the three areas mentioned above.

    (LO3) To develop problem solving skills using verbal, diagrammatic and mathematical methods to problems in the above topics.

    (LO4) To deepen a critical perspective regarding the assumptions underlying microeconomics models.

    (S1) Adaptability

    (S2) Problem solving skills

    (S3) Numeracy

    (S4) Organisational skills

    (S5) Communication skills

    (S6) Lifelong learning skills

  • Macroeconomics I (ECON223)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting60:40
    Aims

    To extend the study of macroeconomic theory to the intermediate level.
    To analyse the classical and Keynesian macroeconomic models, and their policy implications, in order to provide a context for subsequent developments in modern macroeconomics associated with monetarism, new classical and new Keynesian economics.

    Learning Outcomes

    (LO1) Students will be able to understand how employment, output, interest rate and the price level are determined in the classical model

    (LO2) Students will be able to understand the origin of economic growth in the short runand in the long run

    (LO3) Students will be able to understand the effects of fiscal and monetary policies in the IS-LM model

    (LO4) Students will be able to understand the effects of fiscal and monetary policies under different exchange-rate regimes

    (S1) Problem-solving skills

    (S2) Numeracy

    (S3) Organisational skills

    (S4) Communication skills

    (S5) International awareness

    (S6) Lifelong learning skills

  • Statistics and Probability II (MATH254)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    To introduce statistical distribution theory which forms the basis for all applications of statistics, and for further statistical theory.

    Learning Outcomes

    (LO1) To have an understanding of basic probability calculus.

    (LO2) To have an understanding of a range of techniques for solving real life problems of probabilistic nature.

    (S1) Problem solving skills

    (S2) Numeracy

Year Two Optional Modules

  • Differential Equations (MATH221)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting0:100
    Aims

    •To familiarize students with basic ideas and fundamental techniques to solve ordinary differential equations.

    •To illustrate the breadth of applications of ODEs and fundamental importance of related concepts.

    Learning Outcomes

    (LO1) To understand the basic properties of ODE, including main features of initial value problems and boundary value problems, such as existence and uniqueness of solutions.

    (LO2) To know the elementary techniques for the solution of ODEs.

    (LO3) To understand the idea of reducing a complex ODE to a simpler one.

    (LO4) To be able to solve linear ODE systems (homogeneous and non-homogeneous) with constant coefficients matrix.

    (LO5) To understand a range of applications of ODE.

    (S1) Problem solving skills

    (S2) Numeracy

  • Metric Spaces and Calculus (MATH242)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    To introduce the basic elements of the theory of metric spaces and calculus of several variables.

    Learning Outcomes

    (LO1) After completing the module students should: Be familiar with a range of examples of metric spaces. Have developed their understanding of the notions of convergence and continuity.

    (LO2) Understand the contraction mapping theorem and appreciate some of its applications.

    (LO3) Be familiar with the concept of the derivative of a vector valued function of several variables as a linear map.

    (LO4) Understand the inverse function and implicit function theorems and appreciate their importance.

    (LO5) Have developed their appreciation of the role of proof and rigour in mathematics.

    (S1) problem solving skills

  • Financial Mathematics (MATH260)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    To provide an understanding of basic theories in Financial Mathematics used in the study process of actuarial/financial interest.

    To provide an introduction to financial methods and derivative pricing financial instruments in discrete time set up.

    Learning Outcomes

    (LO1) Know how to optimise portfolios and calculating risks associated with investment.

    (LO2) Demonstrate principles of markets.

    (LO3) Assess risks and rewards of financial products.

    (LO4) Understand mathematical principles used for describing financial markets.

  • Numerical Methods for Applied Mathematics (MATH266)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting20:80
    Aims

    To demonstrate how these ideas can be implemented using a high-level programming language, leading to accurate, efficient mathematical algorithms.

    Learning Outcomes

    (LO1) To strengthen students’ knowledge of scientific programming, building on the ideas introduced in MATH111.

    (LO2) To provide an introduction to the foundations of numerical analysis and its relation to other branches of Mathematics.

    (LO3) To introduce students to theoretical concepts that underpin numerical methods, including fixed point iteration, interpolation, orthogonal polynomials and error estimates based on Taylor series.

    (LO4) To demonstrate how analysis can be combined with sound programming techniques to produce accurate, efficient programs for solving practical mathematical problems.

    (S1) Numeracy

    (S2) Problem solving skills

  • Operational Research (MATH269)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    The aims of the module are to develop an understanding of how mathematical modelling and operational research techniques are applied to real-world problems and to gain an understanding of linear and convex programming, multi-objective problems, inventory control and sensitivity analysis.

    Learning Outcomes

    (LO1) To understand the operational research approach.

    (LO2) To be able to apply standard methods of operational research to a wide range of real-world problems as well as to problems in other areas of mathematics.

    (LO3) To understand the advantages and disadvantages of particular operational research methods.

    (LO4) To be able to derive methods and modify them to model real-world problems.

    (LO5) To understand and be able to derive and apply the methods of sensitivity analysis.

    (LO6) To understand the importance of sensitivity analysis.

    (S1) Adaptability

    (S2) Problem solving skills

    (S3) Numeracy

    (S4) Self-management readiness to accept responsibility (i.e. leadership), flexibility, resilience, self-starting, initiative, integrity, willingness to take risks, appropriate assertiveness, time management, readiness to improve own performance based on feedback/reflective learning

  • Securities Markets (ECON241)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting60:40
    Aims

    This module seeks to provide an understanding of:
    the role of securities markets in the economy;
    their basic mechanics and technical features;
    the valuation of financial assets;
    the operational and allocative efficiency of the market.

    Learning Outcomes

    (LO1) Appreciate the central role of securities markets in the economy

    (LO2) Understand and apply appropriate economic theory to market organisation

    (LO3) Display an understanding of the usefulness of portfolio theory and the approaches to the valuation of financial assets

    (LO4) Read the financial press and appreciate issues relating to the study of the securities markets

    (S1) Adaptability

    (S2) Problem solving skills

    (S3) Numeracy

    (S4) Commercial awareness

    (S5) Teamwork

    (S6) Organisational skills

    (S7) Communication skills

    (S8) IT skills

    (S9) International awareness

    (S10) Lifelong Learning Skills

    (S11) Ethical Awareness

  • Mathematical Economics 2 (ECON211)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims

    The aim of this module is to introduce students to the use of mathematical models in the study of Economics
    To build on the material of Year 1 Mathematics and Economics and deepen students' knowledge of mathematical techniques involved in Microeconomics and game theory
    To develop more advanced mathematical skills
    To develop an ability to use models to solve economic problems

    Learning Outcomes

    (LO1) Students will be able to revise univariate calculus.

    (LO2) Students will be able to introduce matrix algebra.

    (LO3) Students will be able to acquire skills with multivariate calculus.

    (LO4) Students will be able to develop study optimisation.

    (LO5) Students will be able to apply these skills to microeconomic problems

    (LO6) Students will be able to apply these skills to macroeconomic problems

    (S1) Problem-solving skills

    (S2) Numeracy

  • Macroeconomics II (ECON224)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting70:30
    Aims

    To further extend the study of macroeconomic theory at the intermediate level by analysing business-cycle fluctuations in closed and open economies using the real business cycle model and also the new Keynesian model that are based on solid microfoundation

    Learning Outcomes

    (LO1) Understand the microfoundation of modern macroeconomic models

    (LO2) Explain the implications of macroeconomic disturbances and fiscalpolicies using the real business cycle model

    (LO3) Contrast the different implications of monetary policies in thereal business cycle model and in the new Keynesian model.

    (LO4) Analyse business cycles in the open economy.

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Commercial awareness

    (S4) Communication skills

    (S5) IT skills

    (S6) International awareness

    (S7) Lifelong learning skills

    (S8) Ethical awareness

    (S9) Teamwork

    (S10) Organised and able to work under pressure

Programme Year Three

Year three optional modules: Choose 2 modules from each semester. ECON322 cannot be taken with MATH331. MATH390 cannot be taken with MATH391 OR MATH399.

Year Three Optional Modules

  • Quantitative Financial Economics (ECON308)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    This module provides a thorough overview of financial economics, starting from the decision-making under uncertainty and applying these concepts to optimal portfolio choice by the consumer, optimal investment by the firm, pricing contingent claims, term structure of interest rates and real option analysis.  In addition to standard asset pricing models, the efficient capital markets theory will be extensively  covered.

    Learning Outcomes

    (LO1) Students will be able to understand the role of capital markets

    (LO2) Students will be able to use capital budgeting techniques

    (LO3) Students will be able to understand and measure risk aversion

    (LO4) Students will be able to calculate the optimal portfolio between two risky assets

    (LO5) Students will be able to forecast asset return based on historical data

    (LO6) Students will be able to forecast asset return volatility based on historical data

    (LO7) Students will be able to understand and use futures and forward contracts

    (LO8) Students will be able to understand and be able to use options

    (S1) Problem-solving skills

    (S2) Numeracy

  • Game Theoretical Approaches to Microeconomics (ECON322)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    The objective of the module is to provide an introduction to game theory. This is the study of strategic interactions ie situations where outcomes depend not only on our own actions but also how others react to our actions. This module complements those in core macro and microeconomics and offers more insight into strategic decisions and competitive behaviour in general.

    Learning Outcomes

    (LO1) Distinguish between types of games

    (LO2) Explain game theoretical concepts

    (LO3) Conduct advanced microeconomic analysis by formulating a game and its associated solution concepts and deriving solutions to games

    (LO4) Apply games in a range of economic, business and social contexts

    (LO5) Explain the importance of game theoretic approaches in economic analysis

    (S1) Problem Solving Skills

    (S2) Numeracy

    (S3) Commercial Awareness

    (S4) Teamwork

    (S5) Organisational Skills

    (S6) Communication skills

    (S7) IT skills

    (S8) International awareness

    (S9) Lifelong learning skills

    (S10) Ethical awareness

  • International Trade (ECON335)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting60:40
    Aims

    To develop an appreciation and understanding of basic principles determining the observed patterns of trade in the increasingly globalised world economy.

    Learning Outcomes

    (LO1) Students will be able to understand the role of both absolute and comparative advantage in explaining observed patterns of trade in the global economy

    (LO2) Students will be able to recognise both the strengths and limitations of the basic Ricardian approach and the Hecksher-Ohlin Theory of trade.

    (LO3) Students will be able to critically evaluate the roles, achievements and failures of various international institutions in the context of international economic performance.

    (LO4) Students will be able to critically understand and approach trade based on increasing returns to scale

    (LO5) Students will be able to recognise the implications of different types of trade barriers and why countries protect.

    (LO6) Students will develop a critical understanding of the importance and implications of different levels of economic integration in the context of NAFTA and the EU.

    (LO7) Students will be able to critically evaluate trade-oriented growth strategies for less developed economies.

    (S1) Problem solving skills

    (S2) Teamwork

    (S3) Organisational skills

    (S4) Communication skills

    (S5) IT skills

    (S6) International awareness

  • Advanced Microeconomics (ECON342)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    This module aims to provide an understanding of the market failure resulting from asymmetric information. The course covers some of the canonical models of adverse selection and moral hazard focussing on the design of optimal contracts under informational asymmetries.

    Learning Outcomes

    (LO1) Solve simple economic models

    (LO2) Understand underlying assumptions

    (LO3) Understand theorems and key proofs

    (LO4) Predict the choices of economic agents

    (S1) problem solving skills

    (S2) numeracy

    (S3) Communication skills

  • Applied Probability (MATH362)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting50:50
    Aims

    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.

    Learning Outcomes

    (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.

  • Linear Statistical Models (MATH363)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting40:60
    Aims

    - 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 an appropriate statistical software package.

    Learning Outcomes

    (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 an appropriate statistical software package.

  • Maths Summer Industrial Research Project (MATH391)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    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.

    Learning Outcomes

    (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.

  • Professional Projects and Employability in Mathematics (MATH390)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    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.

    Learning Outcomes

    (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

  • Industrial Organisation (ECON333)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting0:100
    Aims

    To apply the tools of microeconomics to the analysis of firms, markets and industries in order to understand the nature and consequences of the process of competition. These tools will also be applied to the evaluation of relevant government policy.  This will extend knowledge and skills of microeconomic analysis by covering recent advances in theory as well as empirical analysis of relevant microeconomic topics.

    Learning Outcomes

    (LO1) Students will be able to use economic principles, concepts and techniques to discuss and analyse government policy and economic performance with reference to standard frameworks in Industrial Organisation.

    (LO2) Students will be able to apply standard frameworks, including verbal, graphical, mathematical and statistical representations of economic concepts and models, to explain and evaluate the effects of a range of competitive behaviours by firms and how they are influenced by economic incentives and the ethical issues enveloped within this.

    (LO3) Students will be able to analyse current issues and problems in business and industry from domestic, international and cross-border perspectives.

    (LO4) Students will be able to compare, contrast and critically evaluate alternative schools of thought in Industrial Organisation with reference to empirical evidence.

    (LO5) Students will be able to conduct competent applied economic research by locating, selecting and analysing information relevant to the study of Industrial Organisation from domestic and global perspectives.

    (LO6) Students will be able to communicate effectively in writing and in accordance with a report specification

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Commercial awareness

    (S4) Communication skills

    (S5) IT skills

    (S6) Ethical awareness

  • Law and Economics (ECON360)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting70:30
    Aims

    This course does not require prior knowledge of the law, nor is its objective to teach students about the law. The main objective is to show students how they can apply the tools of economic analysis to understand the basic structure and function of the law. The course focuses on the core common law areas of torts, contracts, and property, along with a discussion of the litigation process, the economics of crime, and antitrust law.

    Learning Outcomes

    (LO1) Students will be able to understand the use of economics to analyse the law

    (LO2) Students will be able to understand the importance of the law in economics

    (LO3) Students will be able to understand the use of model in law and economics

    (LO4) Students will be able to develop the ability to do a positive analysis of liability rules

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Communication skills

    (S4) Lifelong learning skills

  • The Economics of Developing Countries (ECON306)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting80:20
    Aims

    This module aims to introduce students to the theoretical perspectives and empirical debates within development economics and impart an in-depth appreciation of the issues related to economic development and its determinants in less developed countries.

    Learning Outcomes

    (LO1) To understand the nature and determinants of economic development in the LDCs;

    (LO2) To recognise both the strengths andlimitations of various alternative models of the development process

    (LO3) To understand the determinants ofeconomic welfare in LDCs

    (LO4) To recognise the implications fordeveloping countries of international exchange, trade liberalisation andglobalisation

    (LO5) To appreciate the relationships betweenglobalisation and economic performance in low and middle income economies

    (LO6) To critically evaluate the roles,achievements and failures of various international policy initiatives in thecontext of developing country measured economic performance and domesticeconomic welfare.

    (S1) Problem solving skills

    (S2) Teamwork

    (S3) Organisational skills

    (S4) Communication skills

    (S5) International awareness

    (S6) Lifelong learning skills

    (S7) Ethical awareness

  • Methods of Economic Investigation 1: Time Series Econometrics (ECON311)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims

    The aim of this module is to give students an understanding of econometric time series methodology. The module will build upon the materials of ECON212 Basic Econometrics. Important extensions include volatility models of financial time series and multivariate (multiple equations) models such as vector error correction and related cointegrating error correction models.

    Learning Outcomes

    (LO1) Specify and demonstratethe distributional characteristics of a range of time series models

    (LO2) Estimate appropriate models for financial andeconomic time series for the purposes of forecasting andinference

    (LO3) Understand a range ofunivariate and multivariate models of financial and economic time series processes.

    (LO4) Applyunivariate and multivariate model selection and evaluation methods

    (LO5) Understand theimplications of conditional heteroskedasticity, unit roots and    cointegration in economic andfinancial time series analysis

    (S1) Problem solving skills

    (S2) Numeracy

  • Advanced Macroeconomics (ECON343)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting70:30
    Aims

    To further develop understanding of macroeconomic theory, where appropriate, to integrate the theory with issues of current policy interest.
    To further develop students' analytical and problem solving abilities applied to economic principles

    Learning Outcomes

    (LO1) Acquire advanced knowledge and understanding of contemporary macroeconomic

    (LO2) Be able to critically appraise the relevant theory and evidence

    (LO3) Apply macroeconomic theory to analyse macroeconomic developments and evaluate their implications

    (LO4) Apply macroeconomic theory to analyse policy implications

    (LO5) Further develop their mathematical and analytical skills as applied in modern economics

    (S1) Problem solving skills

    (S2) Numeracy

    (S3) Teamwork

    (S4) Adaptability

    (S5) Lifelong Learning Skills

  • Numerical Methods for Ordinary and Partial Differential Equations (MATH336)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    Many real-world systems in mathematics, physics and engineering can be described by differential equations. In rare cases these can be solved exactly by purely analytical methods, but much more often we can only solve the equations numerically, by reducing the problem to an iterative scheme that requires hundreds of steps. We will learn efficient methods for solving ODEs and PDEs on a computer.

    Learning Outcomes

    (LO1) Demonstrate an advanced knowledge of the analysis of ODEs and PDEs underpinning the scientific programming within our context.

    (LO2) Demonstrate an extended understanding of scientific programming and its application to numerical analysis and to other branches of Mathematics.

    (LO3) Continuous engagement with putting practical problems into mathematical language.

    (S1) Numeracy

    (S2) Problem solving skills

    (S3) Programming skills

  • Combinatorics (MATH344)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting50:50
    Aims

    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.

    Learning Outcomes

    (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.

  • Topology (MATH346)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    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).

    Learning Outcomes

    (BH1) An understanding of the ubiquity of topological spaces within mathematics.

    (BH2) Knowledge of a wide range of examples of topological spaces, and of their basic properties.

    (BH3) The ability to construct proofs of, or counter-examples to, simple statements about topological spaces and continuous maps.

    (BH4) The ability to decide if a (simple) space is connected and/or compact.

    (BH5) The ability to construct the Cech and Vietoris-Rips complexes of a point set in Euclidean spac. e

    (BH6) The ability to compute the fundamental group of a (simple) space, and to use it to distinguish spaces.

  • Applied Stochastic Models (MATH360)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    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.

    Learning Outcomes

    (LO1) To understand the theory of continuous-time Markov chains.

    (LO2) To understand 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 understanding of the standard concepts and methods of stochastic modelling.

    (S1) Problem solving skills

    (S2) Numeracy

  • Theory of Statistical Inference (MATH361)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    To introduce some of the concepts and principles which provide theoretical underpinning for the various statistical methods, and, thus, to consolidate the theory behind the other second year and third year statistics options.

    Learning Outcomes

    (LO1) To acquire a good understanding of the classical approach to, and especially the likelihood methods for, statistical inference.

    (LO2) To acquire an understanding of the blossoming area of Bayesian approach to inference.

    (S1) Problem solving skills

    (S2) Numeracy

  • Medical Statistics (MATH364)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    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.

    Learning Outcomes

    (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

  • Measure Theory and Probability (MATH365)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting90:10
    Aims

    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.

    Learning Outcomes

    (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

  • Mathematical Risk Theory (MATH366)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    •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).

    Learning Outcomes

    (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).

  • Networks in Theory and Practice (MATH367)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    •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.

    Learning Outcomes

    (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.

  • Numerical Analysis for Financial Mathematics (MATH371)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    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 familiarise students with sample generating methods, including acceptance-rejection and variance reduction, and its application in finance

    Learning Outcomes

    (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 generate a sample for a given probability distribution and its use in finance

    (LO5) Awareness of the major issues when solving mathematical problems numerically.

    (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.