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  • Ancient History
  • Animal Science
  • Anthropology
  • Archaeology
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  • Biomedical Sciences
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  • Business and Management

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  • Classics and Classical Studies
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  • Economics
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  • Economics
  • Education
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  • Engineering
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  • Finance
  • Food and Nutritional Sciences
  • Geography and Environmental Science
  • Graphic Design

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  • History
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  • Psychology
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  • Zoology

BSc Mathematics and Statistics with a Placement Year

  • UCAS code
    GG17
  • Typical offer
    ABC
  • Year of entry
    2023/24 See 2022/23 entry
  • Course duration
    Full Time:  4 Years
  • Year of entry
    2023/24 See 2022/23 entry
  • Course duration
    Full Time:  4 Years

COVID-19 update


Find out how we're adapting during COVID-19.

Develop a thorough grounding in mathematics and statistics and gain valuable professional experience with this BSc Mathematics and Statistics with Placement Year course.

With increasing amounts of data being collected on almost every aspect of human life and the world around us, statistics is becoming more important. Statistical skills are applicable to a wide range of areas including business, climate science, medicine and the civil service. Additionally, you can further enhance your employability and gain an insight into industry through a year-long paid professional placement.

In mathematics you will study areas such as calculus, analysis, linear algebra and differential equations. In statistics you will cover subjects such as linear models, statistical computing and probability. After the first year you will spend roughly equal amounts of time studying each subject. During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

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.

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

Placement

Between your second and final year you will carry out a paid industrial training placement, lasting around 12 months. Placements can be located anywhere in the UK, and occasionally take place abroad.

You could take on wide a variety of roles including statistician, business analyst, actuarial intern and radiation protection scientist. You will also have the chance to work for a range of national and international organisations such as Microsoft, IBM, SAP or the NHS.

You will be given advice and support for finding the ideal placement, as well writing a CV and interview skills, by our dedicated placements officer.

For more information about securing and completing a placement for your placement year, please visit our Important Information page.

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

Overview

Develop a thorough grounding in mathematics and statistics and gain valuable professional experience with this BSc Mathematics and Statistics with Placement Year course.

With increasing amounts of data being collected on almost every aspect of human life and the world around us, statistics is becoming more important. Statistical skills are applicable to a wide range of areas including business, climate science, medicine and the civil service. Additionally, you can further enhance your employability and gain an insight into industry through a year-long paid professional placement.

In mathematics you will study areas such as calculus, analysis, linear algebra and differential equations. In statistics you will cover subjects such as linear models, statistical computing and probability. After the first year you will spend roughly equal amounts of time studying each subject. During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

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.

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

Placement

Between your second and final year you will carry out a paid industrial training placement, lasting around 12 months. Placements can be located anywhere in the UK, and occasionally take place abroad.

You could take on wide a variety of roles including statistician, business analyst, actuarial intern and radiation protection scientist. You will also have the chance to work for a range of national and international organisations such as Microsoft, IBM, SAP or the NHS.

You will be given advice and support for finding the ideal placement, as well writing a CV and interview skills, by our dedicated placements officer.

For more information about securing and completing a placement for your placement year, please visit our Important Information page.

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

Entry requirements A Level ABC

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
  • Year 4

Compulsory modules include:

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Mathematical and Statistical Programming

Code:

MA1MSP

Convenor:

DR Peter Sweby

Summary:

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

Assessment Method:

Set exercise 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Real Analysis I

Code:

MA1RA1

Convenor:

PROF Michael Levitin

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%, Set exercise 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
MA1CA Calculus DR Peter Chamberlain
MA1FM Foundations of Mathematics DR Jani Virtanen
MA1LA Linear Algebra PROF Paul Glaister
MA1MSP Mathematical and Statistical Programming DR Peter Sweby
MA1RA1 Real Analysis I PROF Michael Levitin
ST1PS Probability and Statistics DR Karen Poulter

Optional modules include:

X

Module details


Title:

Ancient Greek 1

Code:

CL1G1

Convenor:

MRS Jackie Baines

Summary:

This module aims to teach students some elements of the Ancient Greek language and give them skills to read Ancient Greek at an elementary level.

Assessment Method:

Class test 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Latin 1 (C)

Code:

CL1L1

Convenor:

MRS Jackie Baines

Summary:

This module aims to teach students some elements of the Latin language and give them skills to read Latin at an elementary level.

Assessment Method:

Class test 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
CL1G1 Ancient Greek 1 MRS Jackie Baines
CL1L1 Latin 1 (C) MRS Jackie Baines

These are the modules that we currently offer. They may change for your year of study as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Compulsory modules include:

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Professional Skills for Mathematicians

Code:

MA2PSM

Convenor:

MRS Claire Newbold

Summary:

This module focuses on the development of professional/transferable skills.

Assessment Method:

Assignment 50%, Oral 50%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Linear Models and Data Analysis

Code:

ST2LMD

Convenor:

DR Karen Poulter

Summary:

This module covers the most common models used in statistics: multiple linear regression for observational studies and completely randomised designs for planned studies. It  also provides students with experience of real-life data analysis based on topics in applied statistics by considering different datasets, how to analyse them, and how to present results from their analysis.

Assessment Method:

Exam 35%, Oral 10%, Set exercise 35%, Report 20%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
MA2DE Differential Equations DR Peter Sweby
MA2PSM Professional Skills for Mathematicians MRS Claire Newbold
MA2VC Vector Calculus DR Peter Chamberlain
ST2LMD Linear Models and Data Analysis DR Karen Poulter
ST2PST Probability and Statistical Theory DR Jeroen Wouters

Optional modules include:

X

Module details


Title:

Algebra

Code:

MA2ALA

Convenor:

DR Basil Corbas

Summary:

This module is an introduction to the basic concepts of algebra, centered around group, ring and field theory.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Complex Analysis I

Code:

MA2CA1

Convenor:

DR Jochen Broecker

Summary:

This module provides an introduction to complex analysis.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Mathematical Modelling

Code:

MA2MOD

Convenor:

DR Zuowei Wang

Summary:

This module will cover topics related to mathematical modelling, e.g. in the areas of science, engineering and finance.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Mathematical Physics

Code:

MA2MPH

Convenor:

DR Calvin Smith

Summary:

The course continues the applied stream of mathematical education from e.g. mathematical modelling and facilitates to choose further physics- or biology-related modules in the third and fourth years. In this module, we show for several examples how mathematical problems arise in the description of nature and what their solution means for the phenomena under study. In this module you will also study how different mathematical concepts arise from physical phenomena, and in particular discover that completely different areas of physics can be described by exactly the same mathematical equations. The various models of diffusion and heat transfer and the Maxwell equations for electromagnetism.

Assessment Method:

Exam 80%, Assignment 20%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Numerical Analysis

Code:

MA2NAN

Convenor:

DR Peter Chamberlain

Summary:

This module introduces students to the study of numerical approximation techniques for problems of continuous mathematics.  We consider both theoretical questions regarding how, why and when numerical methods work, and practical implementation using computer programs.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Real Analysis II

Code:

MA2RA2

Convenor:

DR Nikos Katzourakis

Summary:

This module continues the study of analysis to the point where it relates to topics studied in other courses, such as integration and differentiation.

Assessment Method:

Exam 80%, Set exercise 20%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Summer Placement

Code:

MA2SPL

Convenor:

MRS Claire Newbold

Summary:

This module gives students an opportunity to do a work placement, an internship or work shadowing 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 review following feedback from their employer and a poster that they will present at a student and employer networking event.

Assessment Method:

Oral 10%, Project 30%, Report 60%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Development of transferable skills through a school placement 1

Code:

ED2TS1

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, five day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting.

In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school students. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Please be aware that once the placement has been completed in June it is not possible to switch from this module in the Autumn Term as students have completed practical activities directly relating to 50% of the mark (professionalism and portfolio) and that link to the activities in the Autumn Term.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Development of transferable skills through a school placement 2

Code:

ED2TS2

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, ten day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting.

In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school students. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Please be aware that once the placement has been completed in June it is not possible to switch from this module in the Autumn Term as students have completed practical activities directly relating to 50% of the mark (Professionalism and portfolio) and that link to activities in the Autumn Term.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

The Science of Climate Change

Code:

MT2CC

Convenor:

PROF Nigel Arnell

Summary:

This module provides an introduction to the science of climate change, aimed at students who do not necessarily have a scientific background.

Assessment Method:

Exam 70%, Assignment 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
MA2ALA Algebra DR Basil Corbas
MA2CA1 Complex Analysis I DR Jochen Broecker
MA2MOD Mathematical Modelling DR Zuowei Wang
MA2MPH Mathematical Physics DR Calvin Smith
MA2NAN Numerical Analysis DR Peter Chamberlain
MA2RA2 Real Analysis II DR Nikos Katzourakis
MA2SPL Summer Placement MRS Claire Newbold
ED2TS1 Development of transferable skills through a school placement 1 DR Caroline Foulkes
ED2TS2 Development of transferable skills through a school placement 2 DR Caroline Foulkes
MT2CC The Science of Climate Change PROF Nigel Arnell

These are the modules that we currently offer. They may change for your year of study as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Compulsory modules include:

X

Module details


Title:

Industrial Placement Year

Code:

MA2PY

Convenor:

DR Peter Chamberlain

Summary:

This module, available only to those on Mathematics or Meteorology and Climate degree undergraduate programmes, aims to provide experience of working in industry, government, research or other appropriate organisations.

Assessment Method:

Oral 50%, Report 50%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
MA2PY Industrial Placement Year DR Peter Chamberlain

These are the modules that we currently offer. They may change for your year of study as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Compulsory modules include:

X

Module details


Title:

Generalised Linear Models

Code:

ST3GLM

Convenor:

PROF Sue Todd

Summary:

This module extends the linear model, introducing the generalised linear modelling framework for analysing non-normal data, with particular focus on commonly used models such as logistic regression and log-linear models.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
ST3GLM Generalised Linear Models PROF Sue Todd

Optional modules include:

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Analytic Number Theory

Code:

MA3ANT

Convenor:

DR Titus Hilberdink

Summary:

This module introduces complex analytic techniques in the theory of numbers. 

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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. Namely, Public Key Cryptography and Error Correcting Codes.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Further Topics in Algebra

Code:

MA3FTA

Convenor:

DR Basil Corbas

Summary:

This module builds on the introduction to Group Theory included in the second year Algebra module.  (A brief summary of that will be provided at the beginning of the module.)

A number of interrelated concepts from the immense body of Group theory has been selected and put together in an elementary and coherent way. The selection of the topics was guided by three criteria. To be accessible and comprehensible to undergraduate students, to be interesting and surprising in their own right and to be relevant to the most recent applications of Algebra.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Metric Spaces

Code:

MA3MS

Convenor:

DR Nikos Katzourakis

Summary:

The module studies analysis from a more general perspective, based on the concepts of distance. Normed, and metric spaces are introduced and the concepts of convergence, continuity, compactness and completeness are developed in this general framework. So exemplary applications are given. This module puts the material studied in previous courses in analysis in a simple and elegant yet general framework and provides a foundation for further courses in analysis and other areas of mathematics.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Measure Theory and Integration

Code:

MA3MTI

Convenor:

DR Nikos Katzourakis

Summary:

This module provides an introduction to measure theory and integration.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Peer Assisted Learning

Code:

MA3PAL

Convenor:

DR Nick Biggs

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Part 3 Project

Code:

MA3PRO

Convenor:

PROF Sarah Dance

Summary:

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

Assessment Method:

Oral 20%, Dissertation 70%, Project 10%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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 2022 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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Water Waves

Code:

MA3WW

Convenor:

DR Nick Biggs

Summary:

This course investigates interesting and key aspects of the theory of linear water waves.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Number Theory

Code:

MA3Z7

Convenor:

DR Chris Daw

Summary:

This module covers the theory of numbers.

Assessment Method:

Exam 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Modelling Structured Data

Code:

ST3MSD

Convenor:

DR Fazil Baksh

Summary:

This module will consider traditional and modern methods for analysing repeated measurement data.

Assessment Method:

Exam 70%, Set exercise 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Multivariate Data Analysis

Code:

ST3MVA

Convenor:

MRS Julia Abery

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Statistics Project

Code:

ST3PR

Convenor:

PROF Sue Todd

Summary:

This module focuses on independent learning of a statistical topic, and application of the relevant methods to a dataset.

Assessment Method:

Oral 20%, Dissertation 80%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

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:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Data Integration and Visualisation

Code:

CS3DV20

Convenor:

MR Miguel Sanchez Razo

Summary:

This module focuses on key aspects of data integration and data visualisation, covering concepts, principles, techniques and tools for the effective analysis of data. Students will learn techniques for processing various types of data for information visualisation. The students will be encouraged to test their technical abilities for data integration and develop their creative skills in visualising data to support data-driven decision making.

Assessment Method:

Exam 30%, Set exercise 70%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Image Analysis

Code:

CS3IA16

Convenor:

DR Hong Wei

Summary:

 The module delivers a set of topics involved in image analysis, such as image enhancement, image compression, image segmentation, and colour image processing. Relevant techniques are introduced in lectures and practised in assigned lab-based coursework. 

Assessment Method:

Exam 30%, Set exercise 70%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Development of transferable skills through a school placement 3

Code:

ED3TS3

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, five day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting.

In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school pupils. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Please be aware that once the placement has been completed in June it is not possible to switch from this module in the Autumn Term as students have completed practical activities directly relating to 50% of the mark (professionalism and portfolio) and that link to activities in the Autumn Term.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

X

Module details


Title:

Development of transferable skills through a school placement 4

Code:

ED3TS4

Convenor:

DR Caroline Foulkes

Summary:

This module enables undergraduate students to develop key transferable skills needed for employment, and also provides outreach experience. Following specialist training on key aspects of working in schools, ten day placements in June/July in secondary schools in the Reading area will provide work experience in a professional setting.

In the autumn, students will build on the knowledge and transferable skills acquired in order to plan and deliver, with colleagues, a teaching session that shares knowledge of their degree specialism with small groups of school pupils. Students will reflect on, and share, their experiences with their colleagues. Assessment will be by coursework, and placement supervisor report on professionalism and engagement.

Students will be selected by application and interview.

Please be aware that once the placement has been completed in June it is not possible to switch from this module in the Autumn Term as students have completed practical activities directly relating to 50% of the mark (Professionalism and portfolio) and that link to activities in the Autumn Term.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 40%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Code Module Convenor
MA3AM Asymptotic Methods PROF Paul Glaister
MA3ANT Analytic Number Theory DR Titus Hilberdink
MA3AST Applied Stochastic Processes DR Patrick Ilg
MA3CEC Cryptography and Error Correcting Codes DR Basil Corbas
MA3CV Calculus of Variations DR Calvin Smith
MA3DS Dynamical Systems DR Peter Chamberlain
MA3FM Fluid Mechanics DR Alex Lukyanov
MA3FTA Further Topics in Algebra DR Basil Corbas
MA3MS Metric Spaces DR Nikos Katzourakis
MA3MTI Measure Theory and Integration DR Nikos Katzourakis
MA3NAT Numerical Analysis II DR Amos Lawless
MA3PAL Peer Assisted Learning DR Nick Biggs
MA3PRO Part 3 Project PROF Sarah Dance
MA3SMA Statistical Mechanics and Applications PROF Valerio Lucarini
MA3SPL Summer Placement MRS Claire Newbold
MA3WW Water Waves DR Nick Biggs
MA3XJ Integral Equations PROF Simon Chandler-Wilde
MA3Z7 Number Theory DR Chris Daw
ST3MSD Modelling Structured Data DR Fazil Baksh
ST3MVA Multivariate Data Analysis MRS Julia Abery
ST3PR Statistics Project PROF Sue Todd
ST3SML Statistical Data Science and Machine Learning DR Fazil Baksh
CS3DV20 Data Integration and Visualisation MR Miguel Sanchez Razo
CS3IA16 Image Analysis DR Hong Wei
ED3TS3 Development of transferable skills through a school placement 3 DR Caroline Foulkes
ED3TS4 Development of transferable skills through a school placement 4 DR Caroline Foulkes

These are the modules that we currently offer. They may change for your year of study as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Fees

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

New international students: £24,500

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.

Placement Year fees

If you spend a full year on placement – including professional and research placements and industrial experience – you’ll pay a discounted tuition fee for that year.

For Home/EU students, the discounted fee is subject to parliamentary approval and is currently capped at £1,385.

For International students, the discount is 15% of your normal tuition fee.

For more information, please contact placements@reading.ac.uk.

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

Your mathematical and statistical knowledge combined with computing, teamwork and presentation skills will make you highly desirable to a range of employers.

You may 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, banking, financial analysis, engineering, modelling, computing, teaching or actuarial work. Recent students have gone on to work for leading organisations from a wide variety of sectors including PepsiCo, the BBC, the Bank of East Asia and BAE Systems.

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

Contextual offers


We make contextual offers for all our courses.

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