Course details
First year courses
The first year of Mathematics & Statistics, called Honour Moderations or “Mods”, is identical to that of the Mathematics degrees. Joint degree students sit the same university examinations at the end of the first year. The first year course consists of lectures on the following topics:
Introduction to pure mathematics
Linear algebra
Geometry
Analysis
Calculus
Dynamics
Probability
Statistics
Fourier Series and two variable calculus
Partial differential equations in two dimensions and applications
Theory of sets and groups
There are also Exploring Mathematics with MuPAD computing classes. These involve an introductory course in the first term, and two projects in the second term. The marks count towards Mods.
Year Two
There are five compulsory core lecture courses in the second year:
Algebra
Analysis
Differential Equations
Probability
Statistics.
There are also a range of options:
Graph Theory
Simulation
Linear Programming
Statistical Programming
Group Theory
Introduction to Fields
Multivariable Calculus
Calculus of Variations
Classical Mechanics
Electromagnetism
Fluid Dynamics and Waves
Numerical Analysis
Number Theory
Integration
Topology
At the end of the year, there are four written examinations.
Third year courses
In the third year, all Mathematics and Statistics students take the compulsory Applied Statistics course, and at least one of Statistical Inference and Stochastic Modelling.
The choice of optional courses includes:
Actuarial Science
Mathematical Ecology and Biology
Differential equations and applications
Communication Theory
Logic and Set Theory
Analysis
Martingales and Financial Mathematics
Number Theory
Algebra
Geometry
In addition there is the option to write an extended essay or take part in the Undergraduate Ambassadors Scheme.
Fourth year courses - MMath only
In the fourth year, students are required to write a dissertation in a topic closely related to statistics.
The range of options for the lecture courses currently includes:
Graphical Models and Inference
Statistical Data Mining
Bioinformatics and Computational Biology
Stochastical Models in Mathematical Genetics
Graph Theory and Probabilistic Combinatorics
and courses offered by the Mathematical Institute.
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