Undergraduate Mathematics and Statistics Modules

The undergraduate degrees offered by the Department of Mathematics and Statistics include a choice of optional modules, to complement those compulsory modules that form the core of the programme.

To provide you with information about the wide range of material offered at Reading, links are provided below to all modules offered by the Department for students on its programmes. Please note that some of these are compulsory for all programmes, some compulsory for specific programmes and some are optional for all or only a subset of programmes. Information on which modules are available for which degree programmes can be obtained from the main Mathematics and Statistics Programme specifications for undergraduate programmes page (these are for 2011 entry). Modules are grouped by the year in which they are usually taken.

Year 1 (2012 entrants)
Algebra I
Analysis I
Calculus Methods
Geometry
Linear Algebra
Modelling and Mathematical Physics
Ordinary Differential Equations I
Vectors and Matrices
Codes and Code Breaking
Data Analysis
Data Analysis I
Probability and Distributions
Statistical Inference and Modelling
Statistical Techniques
 

Year 2 (2011 entrants)
Algebra II
Analysis II
Analysis in Several Variables
Communicating Mathematics
Dynamics
General Skills
Numerical Analysis I
Ordinary Differential Equations II
Partial Differential Equations I
Vector Calculus
Algebra I
Clinical Trials
Epidemiology
Forensic Statistics
Genetic Data Analysis
Linear Models
Skills for Statisticians
Statistical Theory and Methods
 

Year 3 (2010 entrants)
Algebra
Applied Stochastic Processes
Asymptotic Methods I
Calculus of Variations
Classical Mechanics
Complex Analysis I
Complex Analysis II
Control Systems
Cryptography
Dynamical Systems
Error Correcting Codes
Fluid Mechanics
Functional Analysis I
Galois Theory
Initial and Boundary Value Problems
Mathematical Biology
Mathematics for the Digital Economy
Measure Theory and Integration
Number Theory
Numerical Analysis II
Part 3 Project
Partial Differential Equations II
Probability Theory
Topology and Linear Analysis
Water Waves
Advanced Statistical Modelling
Bayesian Data Analysis
Experimental Design
Modelling Structured Data
Multivariate Data Analysis
Operational Research Techniques
Sampling Methods
Statistics Research Project
Time Series Project
 

Year 4 (2009 entrants)
Advanced Topics in Mathematics
Analytic Number Theory
Asymptotic Methods II
Fourth Year Project
Functional Analysis I (reading course)
Functional Analysis II
Integral Equations
Numerical Solution of Ordinary Differential Equations
Numerical Solution of Partial Differential Equations
Spectral Theory
Statistical Mechanics and Applications
Theory and Techniques of Data Assimilation
 

Disclaimer

Whilst the University of Reading makes every effort to ensure that the contents and statements made in these publications are fair and accurate, it can accept no liability for omissions, errors or subsequent changes.

The statements made and information provided are a general guide and there may be changes following publication which affect the contents.

Programmes or modules may be altered or withdrawn without notice and assessment arrangements may be changed.