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  • DeadlineStudy Details: One year

Masters Degree Description

Prepares students with a strong quantitative background for further postgraduate studies or a future career in the private or public sectors.

Entry Requirements

A 2.1 undergraduate Honours degree in mathematics, statistics or a closely related subject area.

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Fees

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Student Destinations

Graduates from this programme hold positions at leading universities or companies in areas as diverse as business administration, financial markets, biomedical research, fisheries laboratories, wildlife conservation and many more.

Module Details

  • Advanced Bayesian Inference 
  • Advanced Combinatorics 
  • Advanced Data Analysis 
  • Applied Statistical Modelling using GLMs 
  • Ergodic Theory and Dynamical Systems 
  • Estimating Animal Abundance and Biodiversity 
  • Knowledge Discovery and Datamining 
  • Mathematical Oncology 
  • Measure Theory 
  • Medical Statistics 
  • Modelling Wildlife population dynamics
  • Multivariate Analysis 
  • Professional Skills for Mathematical Scientists 
  • Semigroups  
  • Software for Data Analysis 
  • Spatial Models and Pattern Formation in Mathematical Biology 

Optional modules are subject to change each year and require a minimum number of participants to be offered; some may only allow limited numbers of students  (see the University's position on curriculum development). 

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. 

If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma. By choosing an exit award, you will finish your degree at the end of the second semester of study and receive a PGDip instead of an MSc. 

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