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Statistics MSc

Course Description

The School of Mathematics is ranked in the top five in the UK for world-reading research (REF 2014). Our taught MSc in Statistics provides one year of postgraduate training in the theory and practice of modern statistics to prepare you for PhD study and for a career in data-intensive and evidence-driven fields.

The programme comprises two terms of taught units, ending in May, and then a substantial research project which takes place over the summer. Under the guidance of a personal tutor, you will select taught units from the wide range of third- and fourth-year units offered by the School of Mathematics, subject to some constraints. These units tend to be quite theoretical, although some have more practical components in coursework and assessment. Research projects are individually supervised, and offer you the opportunity to explore a theoretical topic in more detail or to develop applied skills in data management, processing, analysis and visualisation.

The US Bureau of Labor Statistics has projected the job of statistician to be one of the fastest-growing occupations over the next 10 years. Successful students, particularly those who have completed a more applied project, will be ready to compete for the very best entry-level jobs in data-rich sectors.

Applicants may also be interested in the MSc in Mathematical Science postgraduate taught programme offered by the School of Mathematics.

Programme structure

The programme consists of two terms of taught study on a range of core and optional units, followed by a substantial research project. Although there are no mandatory units, students will typically take most or all of the following 10-credit units:
-Advanced Time Series
-Monte Carlo Methods
-Nonparametric Regression
-Stochastic Optimisation
-Stochastic Processes

Other available units include (subject to having appropriate prerequisites):
-Bayesian Modelling
-Complex Networks
-Financial Mathematics
-Generalised Linear Models
-Introduction to Queueing Networks
-Martingale Theory with Applications
-Multivariate Analysis
-Quantum Information Theory
-Theory of Inference

These units are taught through a combination of lectures and problems classes. Some units involve computer practicals to help develop programming skills using statistical software such as R. Assessment for the taught units is through a combination of written examinations in January and May/June, and problem-solving homework tasks. For full details of these units, go to the programme catalogue: http://www.bristol.ac.uk/unit-programme-catalogue/RouteStructure.jsa?byCohort=N&ayrCode=17%2F18&programmeCode=2MATH004T


Potential careers include finance, insurance, sports betting and risk assessment. Statistical skills are also valued in more specialist areas such as epidemiology, agriculture and ecology, industrial design and public policy.

Visit the Statistics MSc page on the University of Bristol website for more details!

Student Profiles

Master of Reserach (MRes) studentships in Statistics - Single Award

The statistics group at the University of Bristol invites strong candidates to apply for the MRes in Statistics. We have funding to support several exceptional candidates. The Statistics Group, within the School of Mathematics, University of Bristol, is one of the largest groups in UK and a research centre of international excellence. The MRes in Statistics is a full one-year taught postgraduate programme, consisting of two semesters of coursework followed by a substantial project dissertation. It is designed to provide high quality postgraduate training in the methods and practice of research, serving as an enhanced route to a PhD or as a qualification for entry to a research career in industry.The Statistics Group offers full MRes studentships (including fees and tax-free stipend of approximately £13,590 per year) for UK students and EU students who have been residents in the UK for 3 years prior to application, and fees-only funding for other EU students. Worldwide applicants are also encouraged to apply, but must be able to self-fund their study. Strong candidates can compete for PhD funding in later years.

Value of Scholarship(s)

See below


The entry requirement is the equivalent of a first class or upper second-class honours at undergraduate level, in Maths or a related subject. Please consult the Statistics Group's handbook, for more details, and contact the Statistics PG Admissions Tutor, Dr. Li Chen ([email protected]) with any further questions, including qualifications and eligibility for funding.

Application Procedure

Applications should be made online at . Candidates are encouraged to apply as soon as possible; funding will be allocated throughout the year and late applications may be disadvantaged.The closing date for applications is the 1st March 2012

Further Information


Entry Requirements

A first class honours degree (or equivalent) in mathematics, statistics, or a subject with substantial statistical and/or mathematical content.Your degree course must have covered the material in our second-year undergraduate syllabus for the Statistics 2 and Probability 2 units, as these are prerequisites for core units on the MSc. See the unit syllabuses online at bristol.ac.uk/maths/study/undergraduate/units/ for more details.

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