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BSc MATHEMATICS AND METEOROLOGY

  • UCAS code
    GF19
  • Typical offer
    ABC
  • Year of entry
    2021
  • Course duration
     3 years
  • Year of entry
    2021
  • Course duration
     3 years
View all

On our BSc Mathematics and Meteorology course you will explore the physics of the Earth's atmosphere and oceans in a mathematical context whilst learning how to build effective numerical models.

Modern weather forecasting and climate prediction rely upon accurate numerical modelling of the atmosphere and oceans. This course will enable you to develop your mathematics skills whilst gaining a broad knowledge of meteorology and environmental physical science. You will spend roughly equal amounts of time studying each subject. This degree is ideal if you are considering a career applying mathematical techniques to environmental problems. 

In mathematics you will study the theory and application of differential equations, underpinned by a knowledge of calculus, analysis and linear algebra. 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.

In meteorology you will explore the inner workings of weather systems from a physical and dynamic viewpoint. The course is theory-based and will cover subjects such as atmospheric physics, numerical methods, climate change, and weather and climate fundamentals. In the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

Many of our excellent teaching staff are world leaders in their fields and a number are Intergovernmental Panel on Climate Change (IPCC) authors and Fellows of the Royal Society. We also have a Regius Professor of Meteorology and Climate Science. The University is one of only 19 institutes in the UK to have been awarded one of these prestigious positions by Her Majesty the Queen.

In the final year of the degree you can develop your knowledge by exploring areas of interest in greater depth. Half of the modules in this year are optional and include subjects from both areas of the course such as water waves, fluid mechanics and oceanography. During this year you will complete either a meteorological or mathematical research project.

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 master's degrees.

It is also approved by the Royal Meteorological Society as appropriate academic training for meteorologists seeking the qualifications of Chartered Meteorologist (CMet) or Registered Meteorologist (RMet).

These courses 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, statistics or modelling 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. You will be given advice and support for finding the ideal placement, as well for writing a CV and improving your interview skills, by our dedicated placements officer.

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

Overview

Modern weather forecasting and climate prediction rely upon accurate numerical modelling of the atmosphere and oceans. This course will enable you to develop your mathematics skills whilst gaining a broad knowledge of meteorology and environmental physical science. You will spend roughly equal amounts of time studying each subject. This degree is ideal if you are considering a career applying mathematical techniques to environmental problems. 

In mathematics you will study the theory and application of differential equations, underpinned by a knowledge of calculus, analysis and linear algebra. 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.

In meteorology you will explore the inner workings of weather systems from a physical and dynamic viewpoint. The course is theory-based and will cover subjects such as atmospheric physics, numerical methods, climate change, and weather and climate fundamentals. In the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

Many of our excellent teaching staff are world leaders in their fields and a number are Intergovernmental Panel on Climate Change (IPCC) authors and Fellows of the Royal Society. We also have a Regius Professor of Meteorology and Climate Science. The University is one of only 19 institutes in the UK to have been awarded one of these prestigious positions by Her Majesty the Queen.

In the final year of the degree you can develop your knowledge by exploring areas of interest in greater depth. Half of the modules in this year are optional and include subjects from both areas of the course such as water waves, fluid mechanics and oceanography. During this year you will complete either a meteorological or mathematical research project.

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 master's degrees.

It is also approved by the Royal Meteorological Society as appropriate academic training for meteorologists seeking the qualifications of Chartered Meteorologist (CMet) or Registered Meteorologist (RMet).

These courses 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, statistics or modelling 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. You will be given advice and support for finding the ideal placement, as well for writing a CV and improving your interview skills, by our dedicated placements officer.

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

Entry requirements A Level ABC | IB 30 points overall

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:

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:

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:

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:

Weather and Climate Fundamentals

Code:

MT11D

Convenor:

DR Peter Inness

Summary:

A module combining introductory theory of meteorology, problem solving tutorials and meteorological data analysis.

Assessment Method:

Exam 50%, Assignment 20%, Practical 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:

Introduction to Meteorology

Code:

MT11C

Convenor:

DR Thorwald Stein

Summary:

This module introduces key concepts in atmospheric science, and skills in interpreting meteorological data, and provides an introduction to a wide range of topics in meteorology.

Assessment Method:

Assignment 35%, Practical 40%, Set exercise 25%

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
MA1LA Linear Algebra PROF Paul Glaister
MA1FM Foundations of Mathematics DR Jani Virtanen
MA1CA Calculus DR Peter Chamberlain
MT11D Weather and Climate Fundamentals DR Peter Inness
MT11C Introduction to Meteorology DR Thorwald Stein

Optional modules include:

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:

Exam 30%, Class test 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:

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:

Exam 30%, Class test 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:

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:

Skills for Environmental Science

Code:

MT12C

Convenor:

PROF Keith Morrison

Summary:

This module introduces instruments and techniques used to measure meteorological parameters and basic skills in laboratory experimentation, as well as developing skills in computer programming useful in environmental  science.

Assessment Method:

Set exercise 34%, Report 66%

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:

Physics of the Natural World

Code:

PH101

Convenor:

PROF Matt Owens

Summary:

A lecture and tutorial course which covers the physics essential to understanding the natural world, namely classical mechanics, thermodynamics and electromagnetism.

Assessment Method:

Exam 60%, Assignment 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.

Code Module Convenor
CL1L1 Latin 1 (C) MRS Jackie Baines
CL1G1 Ancient Greek 1 MRS Jackie Baines
ST1PS Probability and Statistics DR Karen Poulter
MT12C Skills for Environmental Science PROF Keith Morrison
PH101 Physics of the Natural World PROF Matt Owens

Compulsory modules include:

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:

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:

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:

Atmosphere and Ocean Dynamics

Code:

MT24A

Convenor:

DR Miguel Teixeira

Summary:

This module is an introduction to the fluid dynamics that drives the ocean and atmosphere circulations.

Assessment Method:

Exam 50%, Set exercise 30%, 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:

Atmospheric Physics

Code:

MT24B

Convenor:

DR Chris Westbrook

Summary:

The fundamental processes in cloud physics and atmospheric radiative transfer.

Assessment Method:

Exam 50%, Set exercise 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.

X

Module details


Title:

Numerical Methods for Environmental Science

Code:

MT24C

Convenor:

PROF Paul Williams

Summary:

A module based around computer practicals and lectures, introducing students to numerical algorithms for solving the equations relevant to environmental science.

Assessment Method:

Set exercise 50%, Report 30%, 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
MA2RA1 Real Analysis I DR Karl-Mikael Perfekt
MA2VC Vector Calculus DR Peter Chamberlain
MA2DE Differential Equations DR Peter Sweby
MT24A Atmosphere and Ocean Dynamics DR Miguel Teixeira
MT24B Atmospheric Physics DR Chris Westbrook
MT24C Numerical Methods for Environmental Science PROF Paul Williams

Optional modules include:

X

Module details


Title:

Mathematical Physics

Code:

MA2MPH

Convenor:

DR Calvin Smith

Summary:

In this module we explore some of the key equations of mathematical physics: the Maxwell equation for electromagnetism and the various models of diffusion and heat transfer. 

Assessment Method:

Exam 80%, Assignment 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:

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:

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:

Algebra

Code:

MA2ALA

Convenor:

DR Basil Corbas

Summary:

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

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:

Practice of Entrepreneurship

Code:

MM270

Convenor:

DR Norbert Morawetz

Summary:

This is a dynamic and experiential module aiming to give students a strong understanding of key dilemmas likely to be faced by first time entrepreneurs. The module develops student's entrepreneurial skill and confidence to put plans into action. Students gain understanding of the practice of entrepreneurship as informed by theory, role play and guest lectures. This will include exposure to the experience of successful entrepreneurs. Students are given a solid understanding of the realities of business start-up.

Assessment Method:

Assignment 65%, Oral 30%, Portfolio 5%

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:

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, 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.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 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:

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.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 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:

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:

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:

Statistics for Weather and Climate Science

Code:

MT2SWC

Convenor:

PROF Ted Shepherd

Summary:

This module introduces the basic statistical concepts and reasoning as required for robust environmental science, providing experience of using statistical methods in the right contexts and demonstrating the correct use of which technique to allow critical interpretation of weather and climate data.

Assessment Method:

Assignment 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.

Code Module Convenor
MA2MPH Mathematical Physics DR Calvin Smith
MA2MOD Mathematical Modelling DR Zuowei Wang
MA2ALA Algebra DR Basil Corbas
MM270 Practice of Entrepreneurship DR Norbert Morawetz
ED2TS2 Development of transferable skills through a school placement 2 DR Caroline Foulkes
ED2TS1 Development of transferable skills through a school placement 1 DR Caroline Foulkes
MT2CC The Science of Climate Change PROF Nigel Arnell
MT2SWC Statistics for Weather and Climate Science PROF Ted Shepherd

Compulsory modules include:

X

Module details


Title:

General Studies

Code:

MT37B

Convenor:

DR Thorwald Stein

Summary:

A seminar based module, looking at weather and climate stories which affect the wider world.

Assessment Method:

Exam 80%, Oral 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:

The Global Circulation

Code:

MT38A

Convenor:

DR Andrew Charlton-Perez

Summary:

A classroom based module in which students learn how to describe the physical origin of the major dynamical features of the atmospheric circulation.

Assessment Method:

Portfolio 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:

Climate Change

Code:

MT38B

Convenor:

PROF Bill Collins

Summary:

Climate change over the past century and coming century, and its likely causes.

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.

Code Module Convenor
MT37B General Studies DR Thorwald Stein
MT38A The Global Circulation DR Andrew Charlton-Perez
MT38B Climate Change PROF Bill Collins

Optional modules include:

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:

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:

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:

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:

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:

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:

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:

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:

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:

Vector Calculus

Code:

MA3VC

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:

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:

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:

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:

Number Theory

Code:

MA3Z7

Convenor:

DR Titus Hilberdink

Summary:

This module covers the theory of numbers.

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:

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.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 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:

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.

Assessment Method:

Practical 10%, Oral 50%, Portfolio 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:

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:

Part 3 Project

Code:

MT37A

Convenor:

PROF Geoff Wadge

Summary:

A major piece of independent study, developing oral, report writing, and presentation skills

Assessment Method:

Oral 20%, Dissertation 45%, Project 35%

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:

Remote Sensing Methods and Applications

Code:

MT37D

Convenor:

PROF Nicolas Bellouin

Summary:

This module shows how to obtain information about the atmosphere using electromagnetic waves. In the first half of the course, we will consider how absorption, scattering and emission processes can used to quantify various atmospheric properties using satellites and ground-based instruments. In the second half of the course, we will study how radar and lidar instruments provide information about precipitation and clouds.

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:

Dynamics of Weather Systems

Code:

MT37E

Convenor:

DR Chris Holloway

Summary:

Dynamical knowledge of the development of synoptic-scale weather systems in the extra-tropical latitudes and tropical weather systems, particularly tropical cyclones, will be developed in this module.

Assessment Method:

Exam 70%, Report 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:

Oceanography

Code:

MT37F

Convenor:

PROF Keith Haines

Summary:

After presenting the observational evidence for the global ocean circulation, and the in situ and satellite instruments used, the module shows how observed large scale features can be rationalised in terms of simple dynamical theories.

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:

Numerical Weather Prediction

Code:

MT38C

Convenor:

PROF Peter Clark

Summary:

In this module we will examine the components that make up a numerical weather forecast.

Assessment Method:

Assignment 50%, 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
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
MA3MB Mathematical Biology DR Marcus Tindall
MA3NAT Numerical Analysis II DR Amos Lawless
MA3PRO Part 3 Project DR Patrick Ilg
MA3RCA Real and Complex Analysis DR Titus Hilberdink
MA3PAL Peer Assisted Learning DR Calvin Smith
MA3SPL Summer Placement MRS Claire Newbold
MA3SMA Statistical Mechanics and Applications PROF Valerio Lucarini
MA3VC Vector Calculus DR Peter Chamberlain
MA3AM Asymptotic Methods PROF Paul Glaister
MA3AST Applied Stochastic Processes DR Patrick Ilg
MA3XJ Integral Equations PROF Simon Chandler-Wilde
MA3Z7 Number Theory DR Titus Hilberdink
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
ST3MVA Multivariate Data Analysis MISS Hannah Fairbanks
MT37A Part 3 Project PROF Geoff Wadge
MT37D Remote Sensing Methods and Applications PROF Nicolas Bellouin
MT37E Dynamics of Weather Systems DR Chris Holloway
MT37F Oceanography PROF Keith Haines
MT38C Numerical Weather Prediction PROF Peter Clark

Fees

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

New international students: £20,830 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

This course will make you ideally placed for a career applying mathematical techniques to environmental problems. For example, you could carry out flood modelling or pollution prediction for organisations such as the Environment Agency.

As a mathematics graduate, you can choose to work as a mathematician 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, financial analysis, engineering, computing or actuarial work.

Your meteorological knowledge will enable you to work as a forecaster or research scientist at a national organisation, such as the UK Met Office, or a commercial company. Financial businesses are increasingly employing weather forecasters to advise traders of the possible outcomes of the weather on prices of commodities, and a number of our graduates now work in this area.

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

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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

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  • 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

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

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  • Zoology

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  • Ancient History
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  • Biological Sciences
  • Biomedical Sciences
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  • Business and Management (Pre-Experience)
  • Chemistry
  • Classics and Ancient History
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  • Computer Science
  • Construction Management and Engineering
  • Consumer Behaviour
  • Creative Enterprise

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  • 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
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  • Pharmacy
  • Philosophy
  • Physician Associate
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  • Psychology
  • Public Policy

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