Statistics (Taught)

The MSc in Statistics prepares students with a strong quantitative background for further postgraduate studies or a future career in the private sector.

The MSc in Statistics is a one-year taught programme run by the School of Mathematics and Statistics, which is well equipped with personal computers and laptops, a parallel computer and an on-site library.

Highlights

• Provides students with a broader skill set for entry into the commercial analysis market.

• Covers various theoretical and applied statistical areas at an advanced level.

• Provides opportunities for students to put their statistical knowledge into practice.

• Continual assessments and the dissertation enable students to apply their statistics knowledge.

• Students are prepared such that they may go onto to pursue research in statistics.

The modules listed here are indicative, and there is no guarantee they will run for 2023 entry. Modules can be chosen from across the School's undergraduate and postgraduate-level modules. At least three-quarters of your credits must come from postgraduate-level modules.

Undergraduate-level Modules
Examples could:

• Bayesian Inference
• Classical Statistical Inference
• Computing in Mathematics
• Computing in Statistics
• Computing in Mathematics
• Design of Experiments
• Financial Mathematics

Postgraduate-level Modules
Examples include:

• Advanced Bayesian Inference
• Advanced Combinatorics
• Advanced Data Analysis
• Applied Statistical Modelling using GLMs
• Ergodic Theory and Dynamical Systems
• Estimating Animal Abundance and Biodiversity
• Independent Study Module
• Knowledge Discovery and Datamining

Dissertation
During the final three months of the course, students complete a dissertation to be submitted by the end of August. Dissertations are supervised by members of teaching staff who will advise on the choice of subject and provide guidance throughout the progress of the dissertation.

Further information is available via the "Course contact details" section at the bottom of this webpage.

The available statistics modules consist of a mixture of traditional lecture courses with end-of-semester exams and short intense courses with a large proportion of continuous assessment.