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  • DeadlineStudy Details:

    MSc One year full time two years part time.

Course Description

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 on to pursue research in statistics.
  • Accredited by the Royal Statistical Society.

Entry Requirements

A 2.1 undergraduate Honours degree in mathematics, statistics or a closely related subject area. If you studied your first degree outside the UK, see the international entry requirements.

The qualifications listed are indicative minimum requirements for entry. Some academic Schools will ask applicants to achieve significantly higher marks than the minimum. Obtaining the listed entry requirements will not guarantee you a place, as the University considers all aspects of every application including, where applicable, the writing sample, personal statement, and supporting documents.

Application requirements

  • CV 
  • personal statement (optional) 
  • two original signed academic references 
  • academic transcripts and degree certificates

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Fees

For fees and funding options, please visit website to find out more

Student Destinations

MSc in Statistics graduates 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. 

Recent graduates at Masters level have found employment in: 

  • large consulting firms and major financial institutions including American Express, Aviva, Capital One, Goldman Sachs, Lloyds, PwC, RBS, Scottish and Southern Energy, Tesco Bank, TSB and Vodafone.
  • biomedical research, clinical trials and pharmaceuticals. 
  • wildlife and conservation managers including the Wildlife Conservation Society (WCS).

The Careers Centre offers one-to-one advice to all students as well as a programme of events to assist students in building their employability skills.

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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