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MSc Applied Statistics

Catalog id : TM_SA1
 Course Level
Masters / PG
Full Time

1 Year
 Start month

 Tuition fee

18770 GBP
7185 GBP
7185 GBP

Application fee

International 0 GBP
National 0 GBP
Department of Statistics
Scores accepted
IELTS (min)7
TOEFL-IBT (min)100

World University Ranking

About this course

The MSc in Applied Statistics is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive methods and their use in the analysis of data.

  • The MSc in Applied Statistics will aim to train you to solve real-world statistical problems.
  • When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis and communicate your results clearly and succinctly.
  • The course aims to equip you with the computational skills to carry through the analysis and answer the problem as presented.
  • The MSc is designed to provide a broad but high-level training in applied statistics, computational statistics and statistical methods. These topics are taught through mathematically demanding lectures and problems classes.

Graduate destinations:

Graduates of the MSc in Applied Statistics find employment in financial, economic, governmental, scientific and industrial areas. The MSc can also be a useful stepping stone for doctoral studies, with around a third of students on the course taking this route.

Check further details on University website

Eligibility Criteria

1. Academic ability:

  • Proven and potential academic excellence
  •  Applicants are normally expected to be predicted or have achieved a first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, in a degree course with substantial advanced mathematical and statistical content is required;
  • some very quantitative courses in science, social science (notably economics) or medicine may be appropriate if they meet this criterion.
  • However, entrance to the course is very competitive and most successful applicants have a first-class degree or the equivalent.
  • For applicants with a degree from the USA, the minimum GPA sought is 3.6 out of 4.0.
  • No Graduate Record Examination (GRE) or GMAT scores are sought.

References/letters of recommendation:

  • Your references will support intellectual ability, academic achievement, motivation and commitment.
  • Academic references are strongly encouraged, though a professional reference is acceptable in the exceptional case that the referee is able to offer comparable information on your background and suitability for the course to an academic referee.

Statement of purpose/personal statement:

  • The personal statement should be no more than two pages and must be written in English.
  • You should give your reasons for applying. In particular you should explain why you are interested in studying applied statistics, computational statistics and statistical methodology.
  • The statement should summarise your background as it relates to applying for the MSc in Applied Statistics.

Performance at interview(s):

  • Interviews are not normally held as part of the admissions process.  
  • When held, interviews may be in person, or by telephone or by Skype, normally with two interviewers.
  • Interviews are used only when the department needs to gather more information to fully assess an application before deciding whether to make an offer of a place.

English Language Requirement:


IELTS Academic

  • Minimum Score: 7.0
  • Minimum 6.5 per component


  • Minimum Score: 100
  • Minimum component scores: Listening (22), Reading (24),Speaking (25), Writing (24)

Cambridge Certificate of Proficiency in English (CPE):

  • Minimum Score: 185
  • Minimum 176 per component
  • CPE taken before Jan 2015: Grade C

Cambridge Certificate of Advanced English (CAE):

  • Minimum Score: 185
  • Minimum 176 per component
  • CAE taken before Jan 2015:Grade B

Check further details on University website

Course Modules

  • Applied Statistics (theory and application of linear and mixed models and generalised linear models).
  • Statistical Inference (Bayes & Frequentist estimation; Decision theory; Variational Methods and EM).
  • Statistical Programming (MSc only - R programming; Graphics and visualisation; Advanced R).
  • Computational Statistics (Non-linear and non-parametric models; Bootstrap; Hidden Markov Model).
  • Bayes Methods (Prior elicitation; Bayesian non-parametrics; Approximation methods; Case studies).
  • Data Mining and Machine Learning (Unsupervised Machine Learning; Kernel and Ensemble methods).

Check further details on University website

How to Apply

You are not expected to make contact with an academic member of staff prior to submitting your application.

The set of materials you should send with an application to this MSc comprises:

  • a statement of purpose/personal statement, of up to two pages in length
  • a CV/résumé
  • three academic references
  • official transcripts detailing your university-level qualifications and marks to date.
  •  Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete.
  • Please note that you may still be required to ensure your third referee supplies a reference for consideration.

Check further details on University website

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