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BSc MATHEMATICS WITH FINANCE AND INVESTMENT BANKING

  • UCAS code
    G1N3
  • Typical offer
    ABC
  • Year of entry
    2022/23
    See 2021/22 entry
  • Course duration
     3 years
  • Year of entry
    2022/23
    See 2021/22 entry
  • Course duration
     3 years
View all

Prepare yourself for a career in the financial markets or investment banking, whilst developing your knowledge of mathematics with this BSc Mathematics with Finance and Investment Banking.

Explore key aspects of mathematics, such as differential equations and analysis, and gain practical financial and investment banking experience through Henley Business School, the University of Reading's hub of business expertise. The split between the two subjects is roughly two-thirds mathematics and one-third finance and investment banking.

In mathematics you will study areas such as calculus, analysis, linear algebra, differential equations and numerical analysis. The course will also cover key areas of statistics.

As mathematics can be a challenging subject, you will be given plenty of support to help you get the most out of your studies, including small group problem-solving tutorials and materials to help you manage the transition to university-level mathematics. Additionally, you can get involved with the Department's Staff Student Forums and the Student Teaching and Learning Group, which enable you to have a direct input into the student experience.

The finance and investment banking aspects of the course will provide you with practical experience, such as managing multi-asset portfolios using live prices and using the latest investment management technology. You will also benefit from our three dealing rooms, which are equipped with Bloomberg and Thomson Reuters Eikon terminals and use the latest industry simulation software. As part of this aspect of the degree you will experience the thrill of a live market – take positions, quote two-way prices and manage the risk of a $50–100 million trading book.

In the final year of the degree you can develop your knowledge by exploring areas of interest in greater depth. The vast majority of modules in this year are optional and include subjects from both areas of the course such as foreign exchange and money markets, management of risk, and numerical analysis. During this year you will also carry out a project on a mathematical topic and produce a report and presentation on it.

This course will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when followed by subsequent training and experience in employment to obtain equivalent competencies to those specified by the Quality Assurance Agency (QAA) for taught master’s degrees.

Placement

You may choose to carry out a summer placement in an area such as finance or banking in order to gain an insight into industry and gain valuable experience.

Alternatively, you can opt to take the four-year version of this course, incorporating a year in industry. Our careers department can give you advice and support for finding the ideal placement, as well for writing a CV and interview skills, by our placements officer.

As a four-year version of this course, you may also choose to study abroad for a year. See our study abroad information for more details.

For more information, please visit the Department of Maths and Statistics website.

Overview

Prepare yourself for a career in the financial markets or investment banking, whilst developing your knowledge of mathematics with this BSc Mathematics with Finance and Investment Banking.

Explore key aspects of mathematics, such as differential equations and analysis, and gain practical financial and investment banking experience through Henley Business School, the University of Reading's hub of business expertise. The split between the two subjects is roughly two-thirds mathematics and one-third finance and investment banking.

In mathematics you will study areas such as calculus, analysis, linear algebra, differential equations and numerical analysis. The course will also cover key areas of statistics.

As mathematics can be a challenging subject, you will be given plenty of support to help you get the most out of your studies, including small group problem-solving tutorials and materials to help you manage the transition to university-level mathematics. Additionally, you can get involved with the Department's Staff Student Forums and the Student Teaching and Learning Group, which enable you to have a direct input into the student experience.

The finance and investment banking aspects of the course will provide you with practical experience, such as managing multi-asset portfolios using live prices and using the latest investment management technology. You will also benefit from our three dealing rooms, which are equipped with Bloomberg and Thomson Reuters Eikon terminals and use the latest industry simulation software. As part of this aspect of the degree you will experience the thrill of a live market – take positions, quote two-way prices and manage the risk of a $50–100 million trading book.

In the final year of the degree you can develop your knowledge by exploring areas of interest in greater depth. The vast majority of modules in this year are optional and include subjects from both areas of the course such as foreign exchange and money markets, management of risk, and numerical analysis. During this year you will also carry out a project on a mathematical topic and produce a report and presentation on it.

This course will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when followed by subsequent training and experience in employment to obtain equivalent competencies to those specified by the Quality Assurance Agency (QAA) for taught master’s degrees.

Placement

You may choose to carry out a summer placement in an area such as finance or banking in order to gain an insight into industry and gain valuable experience.

Alternatively, you can opt to take the four-year version of this course, incorporating a year in industry. Our careers department can give you advice and support for finding the ideal placement, as well for writing a CV and interview skills, by our placements officer.

As a four-year version of this course, you may also choose to study abroad for a year. See our study abroad information for more details.

For more information, please visit the Department of Maths and Statistics website.

Entry requirements A Level ABC | IB 30 points overall

Select Reading as your firm choice on UCAS and we'll guarantee you a place even if you don't quite meet your offer. For details, see our firm choice scheme.

Typical offer

ABC with an A in Maths, and if you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A-level (e.g BBC with Maths at B or ABD with Maths at either A or B).

If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics. If you place us as Firm choice we will accept BCC with a B in Mathematics alongside a B in the EPQ.

International Baccalaureate

30 points overall including 6 in Maths at higher level. If you place us as your Firm choice we will accept you with 28 points overall including 5 in Maths at higher level.

Extended Project Qualification

In recognition of the excellent preparation that the Extended Project Qualification (EPQ) provides to students for University study, we can now include achievement in the EPQ as part of a formal offer.

English language requirements

IELTS 6.5, with no component below 5.5

For information on other English language qualifications, please visit our international student pages.

Alternative entry requirements for International and EU students

For country specific entry requirements look at entry requirements by country.

International Foundation Programme

If you are an international or EU student and do not meet the requirements for direct entry to your chosen degree you can join the University of Reading’s International Foundation Programme. Successful completion of this 1 year programme guarantees you a place on your chosen undergraduate degree. English language requirements start as low as IELTS 4.5 depending on progression degree and start date.

  • Learn more about our International Foundation programme

Pre-sessional English language programme

If you need to improve your English language score you can take a pre-sessional English course prior to entry onto your degree.

  • Find out the English language requirements for our courses and our pre-sessional English programme

Structure

  • Year 1
  • Year 2
  • Year 3

Compulsory modules include:

X

Module details


Title:

Probability and Statistics

Code:

ST1PS

Convenor:

DR Karen Poulter

Summary:

This module provides an introduction to probability and probability distributions, and to fundamental techniques for statistical inference, and for the analysis of data from observational studies, with a focus on regression and hypothesis testing.

Assessment Method:

Exam 70%, Oral 5%, Set exercise 10%, Report 15%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Calculus

Code:

MA1CA

Convenor:

DR Peter Chamberlain

Summary:

This module covers core topics in calculus.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Foundations of Mathematics

Code:

MA1FM

Convenor:

DR Jani Virtanen

Summary:

This module introduces fundamental topics in mathematics.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Linear Algebra

Code:

MA1LA

Convenor:

PROF Paul Glaister

Summary:

This module introduces the mathematics of linearity needed for other modules, and includes various topics in linear algebra.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Introductory Securities and Markets

Code:

IC101

Convenor:

PROF Brian Scott-Quinn

Summary:

An introduction to the economics of banking, types of money including cryptocurrencies, and sustainable finance focussed on the role of the finance industry in mitigating climate change impact.  

Assessment Method:

Exam 60%, Class test 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Introductory Finance/Trading Simulation I

Code:

IC102

Convenor:

DR Gita Persand

Summary:

This module is delivered at University of Reading and University of Reading Malaysia.

This module aims to provide the student with an overview of the financial system. This will include an overview of the role that the financial system plays in the economy, a discussion of some of the main players in the system, the instruments they trade, and the trading prices. Part of the module will focus on capital markets and the private and public financial institutions participating in these markets. The remainder of the module covers the time value of money, longer-term securities like bonds, risky securities like stocks, and the way in which returns and the values of real and financial assets relate to each other. The purpose of the trading simulation part of the module is to introduce students to computer simulation of securities dealing and spreadsheet modelling. Students are taught the relevant theory and will experience how this theory works in a virtual dealing environment. 

Assessment Method:

Exam 70%, Practical 10%, Class test 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Code Module Convenor
ST1PS Probability and Statistics DR Karen Poulter
MA1CA Calculus DR Peter Chamberlain
MA1FM Foundations of Mathematics DR Jani Virtanen
MA1LA Linear Algebra PROF Paul Glaister
IC101 Introductory Securities and Markets PROF Brian Scott-Quinn
IC102 Introductory Finance/Trading Simulation I DR Gita Persand

Compulsory modules include:

X

Module details


Title:

Probability and Statistical Theory

Code:

ST2PST

Convenor:

DR Jeroen Wouters

Summary:

This module develops the theoretical foundations of methods used in statistical practice.The module rigorously introduces basic concepts of probability from a mathematical perspective. It aims to equip the students with a basic knowledge in probability which will reveal the interplay between probability theory and fundamental areas of mathematics, will allow students to formulate general real or abstract problems in a probabilistic model and will unravel the fundamentals which statistical methods are built on. In more detail the module will be developed around the concepts of probability distributions, random variables, independence, sums of random variables, limit laws and their application (Central Limit Theorem and laws of large numbers), and structures that depend on the present to study the future evolution of stochastic phenomena (Markov chains). The module also covers key topics in estimation and statistical inference, including method of moments and maximum likelihood.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Differential Equations

Code:

MA2DE

Convenor:

DR Peter Sweby

Summary:

In this module, we continue the ODE work of Part 1 and consider more advanced topics such as ODEs with non-constant coefficients, integral and series solutions, Fourier series and the theory of boundary value problems. This is then extended into the study of partial differential equations, in particular the diffusion equation, the wave equation and Laplace’s equation, for which appropriate solution techniques are studied.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Mathematical Programming

Code:

MA2MPR

Convenor:

DR Peter Sweby

Summary:

This module introduces students to the valuable skill of programming with clear links to applications in mathematics. Programming concepts will be taught in the context of the Matlab programming language but are applicable to other programming languages. Examples from other mathematics modules taken will be used to illustrate various programming techniques.

Assessment Method:

Set exercise 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Vector Calculus

Code:

MA2VC

Convenor:

DR Peter Chamberlain

Summary:

The module involves differentiation of scalar and vector fields by the gradient, Laplacian, divergence and curl differential operators. A number of identities for the differential operators are derived and demonstrated. The module also involves line, surface and volume integrals. Various relationships between differential operators and integration (e.g, Green's theorem in the plane, the divergence and Stoke's theorems) are derived and demonstrated.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Real Analysis I

Code:

MA2RA1

Convenor:

DR Karl-Mikael Perfekt

Summary:

This module provides an introduction to mathematical analysis. We cover concepts such as inequalities, sequences and series as well as functions and their fundamental properties.

Assessment Method:

Exam 70%, Assignment 30%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Financial Modelling/CMS

Code:

IC206

Convenor:

DR Gita Persand

Summary:

This module is delivered at University of Reading and University of Reading Malaysia.

 

Assessment Method:

Assignment 5%, Project 50%, Class test 40%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Portfolio Management

Code:

IC204

Convenor:

DR Nikoloas Antypas

Summary:

The module examines the issues involved in understanding the investment market, constructing an optimal investment portfolio, evaluating the performance of that portfolio, and adjusting its composition through time. 
 
This module is delivered at University of Reading and University of Reading Malaysia. 

Assessment Method:

Assignment 10%, Oral 40%, Class test 50%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Code Module Convenor
ST2PST Probability and Statistical Theory DR Jeroen Wouters
MA2DE Differential Equations DR Peter Sweby
MA2MPR Mathematical Programming DR Peter Sweby
MA2VC Vector Calculus DR Peter Chamberlain
MA2RA1 Real Analysis I DR Karl-Mikael Perfekt
IC206 Financial Modelling/CMS DR Gita Persand
IC204 Portfolio Management DR Nikoloas Antypas

Compulsory modules include:

X

Module details


Title:

Real and Complex Analysis

Code:

MA3RCA

Convenor:

DR Titus Hilberdink

Summary:

The first part of this module continues the study of analysis to the point where it relates to topics in other courses, such as integration and differentiation. The second part provides an introduction to complex analysis.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Applied Stochastic Processes

Code:

MA3AST

Convenor:

DR Patrick Ilg

Summary:

This module introduces the concept of discrete and continuous stochastic processes, discusses their most important properties as well as a variety of applications from physics to finance.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Derivative Securities/Trading Simulation III

Code:

IC301

Convenor:

MR David Knapp

Summary:

This module is designed to combine theoretical and practical approaches to derivatives. The objectives of the module are the following: first, to give students an overview of the main derivative securities and markets; second, to provide an understanding of derivatives pricing; third, to give an overview of hedging and trading strategies; and fourth, to show how to apply theoretical models and strategies presented in class through exercises, examples and case studies.

Assessment Method:

Exam 80%, Class test 20%"

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Code Module Convenor
MA3RCA Real and Complex Analysis DR Titus Hilberdink
MA3AST Applied Stochastic Processes DR Patrick Ilg
IC301 Derivative Securities/Trading Simulation III MR David Knapp

Optional modules include:

X

Module details


Title:

Statistical Data Science and Machine Learning.

Code:

ST3SML

Convenor:

DR Fazil Baksh

Summary:

The topics of Data Science, Machine Learning and Artificial Intelligence have recently become part of the public consciousness, in part due to their successful application in industry (most notably at large technology companies). Many of the most successful techniques used in these fields are underpinned by statistical techniques. This module begins by covering some of these underpinning techniques, and shows how they may be applied to problems in Data Science and Machine Learning.

Assessment Method:

Exam 70%, Set exercise 30%"

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Multivariate Data Analysis

Code:

ST3MVA

Convenor:

MISS Hannah Fairbanks

Summary:

This module introduces methods for the analysis of data involving several measurements, where the aim is to identify similarities and differences between observations based on several variables. Multivariate data analysis techniques have a long history of being applied to analyse data from a wide range of disciplines such as psychology, and marketing and research. This module will introduce several techniques covering the underlying theory, as well as carrying out the analysis using software and interpreting the results.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Integral Equations

Code:

MA3XJ

Convenor:

PROF Simon Chandler-Wilde

Summary:

This module in concerned with the theory, application and solution of integral equations, with an emphasis on applications that are part of research across the School, at Reading (for example wave scattering of water waves, of acoustic and electromagnetic waves by atmospheric particles, etc.).

Assessment Method:

Exam 85%, Set exercise 15%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Asymptotic Methods

Code:

MA3AM

Convenor:

PROF Paul Glaister

Summary:

Foremost among the analytic techniques used in applications are the systematic methods of perturbations (asymptotic expansions) in terms of a small or large parameter or co-ordinate. This module is concerned with perturbation methods and applications will be made to non-linear equations, integrals and some ordinary differential equations.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Summer Placement

Code:

MA3SPL

Convenor:

MRS Claire Newbold

Summary:

This module gives students an opportunity to do a work placement or an internship with a work based employer broadly related to the general sphere of their degree studies. Based on the work experience gained, the student will deliver a self-reflective report following feedback from their employer and link their new and or enhanced skills to University of Reading graduate attributes.  Students will present at a student and employer networking event in October 2020 and to academic staff during week 6 of Autumn term in a more formal setting using slides and projector.

Assessment Method:

Oral 40%, Report 60%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Statistical Mechanics and Applications

Code:

MA3SMA

Convenor:

PROF Valerio Lucarini

Summary:

This module will introduce the concepts of statistical mechanics and their mathematical formulation.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Part 3 Project

Code:

MA3PRO

Convenor:

DR Patrick Ilg

Summary:

This module focuses on independent learning of a mathematical or statistical topic.

Assessment Method:

Oral 20%, Dissertation 70%, Project 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Numerical Analysis II

Code:

MA3NAT

Convenor:

DR Amos Lawless

Summary:

This course introduces and analyses a range of techniques in numerical approximation, numerical integration, and numerical linear algebra, with connections being made between these areas.  One half of the module will consider the design and analysis of algorithms for the approximate solution of problems of continuous mathematics, with a particular focus on topics such as interpolation, polynomial approximation, and integration.  The other half of the module will introduce and analyse a range of techniques in numerical linear algebra for solving very large systems of linear equations.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Peer Assisted Learning

Code:

MA3PAL

Convenor:

DR Calvin Smith

Summary:

This module will enable students who have volunteered to be Peer-assisted Learning (PAL) Leaders in Mathematics to gain a deeper understanding of their own learning and that of their peers on the same programme but in the years below through reflecting systematically on their weekly Mathematics peer learning sessions that they have planned, facilitated, and reviewed.

SELECTION PROCESS Students will be selected by written application and interview on the basis of academic ability, commitment and motivation as students, and an interest in learning, volunteering and possibly a career in education. The selection will be made by the Module Convenor. The Module Convenor will have the final say in terms of recruitment.

Assessment Method:

Practical 20%, Oral 10%, Report 70%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Mathematical Biology

Code:

MA3MB

Convenor:

DR Marcus Tindall

Summary:

Mathematical Biology is one of the fastest growing areas of modern mathematics. The field is focussed on applying mathematical modelling techniques (and their analysis) to problems in biology. Whilst such problems can range across a huge number of systems, e.g. cells to ecosystems, this module is designed to give an introduction to the classic applications of Mathematical Biology and an appreciation of how mathematical modelling can be used to provide insight into biological problems.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Fluid Mechanics

Code:

MA3FM

Convenor:

DR Alex Lukyanov

Summary:

The objective of this course is to provide an elementary, but rigorous mathematical presentation of continuum description, to introduce concepts and basic principles of fluid mechanics.

Assessment Method:

Exam 90%, Assignment 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Calculus of Variations

Code:

MA3CV

Convenor:

DR Calvin Smith

Summary:

Calculus of variations considers the notion of optimising an integral where the quantity to be varied is a function.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Dynamical Systems

Code:

MA3DS

Convenor:

DR Peter Chamberlain

Summary:

The module addresses the geometric theory of planar dynamical systems.

Assessment Method:

Exam 90%, Set exercise 10%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Cryptography and Error Correcting Codes

Code:

MA3CEC

Convenor:

DR Basil Corbas

Summary:

To introduce and examine two of the most important and exciting contemporary applications of pure mathematics.

Assessment Method:

Exam 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Research Project

Code:

IC305

Convenor:

PROF Charles Sutcliffe

Summary:

Students define and execute a piece of research in finance on a topic of their choice, with direction from an academic supervisor.

 

Assessment Method:

Dissertation 100%

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Financial Engineering

Code:

IC302

Convenor:

DR Miriam Marra

Summary:

Financial Engineering is the application of engineering methods to finance for the design, analysis, and construction of financial contracts that meet the needs of investors and companies. This basic course of Financial Engineering provides an overview of the theory and practice of Financial Engineering, with emphasis on contract design, payoffs replication and application of simple derivatives pricing and hedging methodology to complex derivatives and structured products.

Assessment Method:

Exam 80%, Class test 20%"

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

X

Module details


Title:

Management of Risk

Code:

IC303

Convenor:

DR Ivan Sangiorgi

Summary:

This module will be taught by Dr Ivan Sangiorgi and Dr Indrajeet Mohite.

This module introduces students to a set of techniques to measure and manage market and credit risks in banks. It also covers recent developments in bank regulation. Financial press articles are extensively used to provide context and show the relevance of the teaching material to current risk management issues. Popular portfolio risk models and stress testing frameworks used by risk managers and central banks are explored in detail. This course will help students develop those critical risk management skills that are now considered indispensable for anyone willing to undertake a career in the financial sector. 

Assessment Method:

Project 40%, Class test 60%"

Disclaimer:

Please note that all modules are subject to change.
The information contained in this module description does not form any part of a student’s contract.

Code Module Convenor
ST3SML Statistical Data Science and Machine Learning. DR Fazil Baksh
ST3MVA Multivariate Data Analysis MISS Hannah Fairbanks
MA3XJ Integral Equations PROF Simon Chandler-Wilde
MA3AM Asymptotic Methods PROF Paul Glaister
MA3SPL Summer Placement MRS Claire Newbold
MA3SMA Statistical Mechanics and Applications PROF Valerio Lucarini
MA3PRO Part 3 Project DR Patrick Ilg
MA3NAT Numerical Analysis II DR Amos Lawless
MA3PAL Peer Assisted Learning DR Calvin Smith
MA3MB Mathematical Biology DR Marcus Tindall
MA3FM Fluid Mechanics DR Alex Lukyanov
MA3CV Calculus of Variations DR Calvin Smith
MA3DS Dynamical Systems DR Peter Chamberlain
MA3CEC Cryptography and Error Correcting Codes DR Basil Corbas
IC305 Research Project PROF Charles Sutcliffe
IC302 Financial Engineering DR Miriam Marra
IC303 Management of Risk DR Ivan Sangiorgi

Fees

New UK/Republic of Ireland students: £9,250 per year

New international students: £23,700 per year

UK/Republic of Ireland fee changes

UK/Republic of Ireland undergraduate tuition fees are regulated by the UK government. These fees are subject to parliamentary approval and any decision on raising the tuition fees cap for new UK students would require the formal approval of both Houses of Parliament before it becomes law.

EU student fees

With effect from 1 August 2021, new EU students will pay international tuition fees. For exceptions, please read the UK government’s guidance for EU students.

Additional costs

Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.

Financial support for your studies

You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.

Careers

Jobs in the financial markets, investment banking and securities are generally well paid and highly sought-after.

Henley Business School is triple-accredited and this degree provides a direct route into many areas including accounting and professional services, banking, consultancy, finance, human resources, IT, investment banking, marketing, operations and, of course, general management.

As a mathematics graduate, you can choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics, or areas of the private sector including commerce and information technology. Furthermore, you can move into a range of related careers such as accountancy, engineering, modelling, computing or actuarial work.

Alternatively you can choose to further develop your skills by moving into research, teacher training or postgraduate studies.

Not only has the University increased my knowledge of Mathematics and Statistics but it has also made me a far more confident person. It is nice to know that whenever you have a problem, whether it is personal or academic, help is only round the corner.

Lonneke Spierings

MMath Mathematics

Related Courses

  • BSc Mathematics with Finance and Investment Banking with a Placement Year G1N4
    Full Time: 4 Years
  • BSc Mathematics G100
    Full Time: 3 Years
  • BSc Mathematics with Placement Year G101
    Full Time: 4 Years
  • MMath Mathematics G103
    Full Time: 4 Years
  • MMath Mathematics with a Placement Year G104
    Full Time: 5 Years
  • BSc Mathematics and Economics GL11
    Full Time: 3 Years
  • BSc Mathematics and Economics with a Placement Year GL12
    Full Time: 4 Years
  • BSc Mathematics and Meteorology GF19
    Full Time: 3 Years
  • BSc Mathematics and Meteorology with a Placement Year GF20
    Full Time: 4 Years
  • MMath Mathematics and Meteorology GFC9
    Full Time: 4 Years
  • MMath Mathematics and Meteorology with a Placement Year GFC8
    Full Time: 5 Years


  • BSc Mathematics and Statistics GG13
    Full Time: 3 Years
  • BSc Mathematics and Statistics with a Placement Year GG17
    Full Time: 4 Years
More
View all Mathematics degree courses courses

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Subjects A-B

  • Agriculture
  • Ancient History
  • Animal Science
  • Anthropology
  • Archaeology
  • Architectural Engineering
  • Architecture
  • Art
  • Biological Sciences
  • Biomedical Engineering
  • Biomedical Sciences
  • Building and Surveying
  • Business and Management, Accounting and Finance

Subjects C-E

  • Chemistry
  • Classics and Classical Studies
  • Climate Science
  • Computer Science
  • Construction Management
  • Consumer Behaviour and Marketing
  • Creative Writing
  • Drama
  • Ecology
  • Economics
  • Education
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environment

Subjects F-G

  • Film & Television
  • Food and Nutritional Sciences
  • Foundation programmes
  • French
  • Geography
  • German
  • Graphic Communication and Design

Subjects H-M

  • Healthcare
  • History
  • International Development
  • International Foundation Programme (IFP)
  • International Relations
  • Italian
  • Languages and Cultures
  • Law
  • Linguistics
  • Marketing
  • Mathematics
  • Medical Sciences
  • Meteorology and Climate
  • Museum Studies

Subjects N-T

  • Nutrition
  • Pharmacology
  • Pharmacy
  • Philosophy
  • Physician Associate Studies
  • Politics and International Relations
  • Psychology
  • Real Estate and Planning
  • Spanish
  • Speech and Language Therapy
  • Surveying and Construction
  • Teaching
  • Theatre

Subjects U-Z

  • Wildlife Conservation
  • Zoology

Subjects A-C

  • Agriculture
  • Ancient History
  • Animal Sciences
  • Archaeology
  • Architecture
  • Art
  • Biological Sciences
  • Biomedical Sciences
  • Business (Post-Experience)
  • Business and Management (Pre-Experience)
  • Chemistry
  • Classics and Ancient History
  • Climate Science
  • Computer Science
  • Construction Management and Engineering
  • Consumer Behaviour
  • Creative Enterprise

Subjects D-G

  • Data Science
  • Economics
  • Education
  • Energy and Environmental Engineering
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environmental Science
  • Film, Theatre and Television
  • Finance
  • Food and Nutritional Sciences
  • Geography and Environmental Science
  • Graphic Design

Subjects H-P

  • Healthcare
  • History
  • Information Management and Digital Business
  • Information Technology
  • International Development and Applied Economics
  • Languages and Cultures
  • Law
  • Linguistics
  • Management
  • Medieval History
  • Meteorology and Climate
  • Microbiology
  • Nutritional Sciences
  • Pharmacy
  • Philosophy
  • Physician Associate
  • Politics and International Relations
  • Project Management
  • Psychology
  • Public Policy

Subjects Q-Z

  • Real Estate and Planning
  • Social Policy
  • Speech and Language Therapy
  • Strategic Studies
  • Teaching
  • Theatre
  • Typography and Graphic Communication
  • War and Peace Studies
  • Zoology

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