First year courses
The first year of Mathematics & Statistics 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 university-level mathematics
Introduction to complex numbers
Group and group actions
Sequences and series
Continuity and differentiability
Fourier series and Partial differential equations
Computational mathematics using MATLAB. (This course has two compulsory projects to be completed).
The compulsory core lecture courses in the second year are:
Metric Spaces and Complex Analysis
There are also a range of options:
Rings and Modules
Waves and Fluids
Simulation and Statistical Programming
and short options:
Calculus of Variations
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:
Mathematical Ecology and Biology
Differential equations and applications
Logic and Set Theory
Martingales and Financial Mathematics
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:
Statistical Data Mining and Machine Learning
Stochastical Models in Mathematical Genetics
Modern Survival Analysis
Probability and Statistics for Network Analysis
Advanced Simulation Methods
and courses offered by the Mathematical Institute.
Link to course handbooks and syllabuses