MSc Statistics

Programme overview

Entry requirements

BSc (or equivalent) in a subject containing a substantial mathematical and statistical component, usually at level 2.1 or above (or equivalent).

Programme specification

The programme will:
- provide a solid training in mainstream advanced statistical modelling
- expose students to modern developments in Statistics
- be flexible in allowing the student to take a broad range of options, including modules within financial mathematics and statistical bioinformatics
- reflect the research interests of the department including specialized topics in statistical shape analysis and directional data, statistical genetics, and stochastic financial modelling.


At the end of the programme students should:
- be prepared to embark on a programme of research as a research student
- be able to undertake data analysis for a wide variety of statistical problems
- have learned key programming skills, both in data analysis and mathematical typesetting
- be equipped as a statistician for a range of careers in industry, commerce and the public sector
- have learned to express mathematical concepts and statistical analysis in both written and verbal form.

Year 1

[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable

Compulsory Modules

Code	Title	Credits	Semester	Pass for Progression
MATH5701M	Advanced Statistical Modelling	15	Semester 2 (Jan to Jun)
MATH5702M	Statistical Computing	15	Semester 1 (Sep to Jan)
MATH5703M	Statistical Theory	15	Semester 1 (Sep to Jan)
MATH5706M	Further Models for Data Analysis	15	Semester 2 (Jan to Jun)
MATH5710M	Project Skills for Statistics and Finance	15	Semester 2 (Jan to Jun)
MATH5750M	Project in Statistics	60	1 Jun to 30 Sep	PFP

Optional Modules

Candidates will be required to select 2 modules from list A and 1 module from list B.

Candidates will be required to select 2 modules from list A and 1 module from list B.

Code	Title	Credits	Semester	Pass for Progression
MATH5320M	Discrete Time Finance	15	Semester 1 (Sep to Jan)
MATH5340M	Risk Management	15	Semester 2 (Jan to Jun)
MATH5420M	Evolutionary Dynamics	15	Semester 1 (Sep to Jan)
MATH5705M	Multivariate Data Analysis	15	Semester 1 (Sep to Jan)

Candidates will be required to select 2 modules from list A and 1 module from list B.

Code	Title	Credits	Semester	Pass for Progression
MATH5330M	Continuous Time Finance	15	Semester 2 (Jan to Jun)
MATH5350M	Computations in Finance	15	Semester 2 (Jan to Jun)
MATH5704M	Time Series Data Analysis	15	Semester 2 (Jan to Jun)

However, depending on the student's background and preferences, :

Code	Title	Credits	Semester	Pass for Progression
MATH3565	Mathematical Biology	15	Not running in 202627
MATH3567	Evolutionary Modelling	15	Not running in 202627
MATH3734	Stochastic Calculus for Finance	15	Not running in 202627
MATH3772	Multivariate Analysis	10	Not running in 202627
MATH3802	Time Series	10
MATH3823	Generalised Linear Models	10	Not running in 202627
MATH3860	Introduction to Clinical Trials	15	Not running in 202627
MATH5320M	Discrete Time Finance	15	Semester 1 (Sep to Jan)
MATH5330M	Continuous Time Finance	15	Semester 2 (Jan to Jun)
MATH5340M	Risk Management	15	Semester 2 (Jan to Jun)
MATH5566M	Advanced Mathematical Biology	20	Not running in 202627
MATH5567M	Advanced Evolutionary Modelling	20	Not running in 202627
MATH5714M	Linear Regression, Robustness and Smoothing	20

Subject to the overall constraint that the student must take at least 135 credits at level 5, and specific constraints related to individual modules (pre-requisites and exclusions, etc).

Elective Modules

Candidates may choose to take up to 20 credits of elective/Discovery modules at Level 3 or 5M, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.

Last updated: 30/04/2026 16:02:19

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