MSc StatisticsFind a programme
This programme has been discontinued
|Faculty||Faculty of Science|
|Programme length||One year full-time|
|Location of programme||Clifton campus|
|Part-time study available||No, full-time only|
|Open to international students||Yes|
|Start date||September 2017|
The School of Mathematics is ranked in the top five in the UK for world-leading 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.
Fees for 2017/18
Fees quoted are per annum and subject to annual increase.
University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.
Funding for 2017/18
Further information on funding for prospective UK, EU and international postgraduate students.
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
- 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
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.
See international equivalent qualifications on the International Office website.
|Application method||Online application form|
|English language requirements||
Further information about English language requirements
|Admissions statement||Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.|
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.
Find out more about becoming a student at Bristol, and the support we offer to international students.
REF 2014 results
- 43% of research is world-leading (4 star)
- 44% of research is internationally excellent (3 star)
- 12% of research is recognised internationally (2 star)
- 1% of research is recognised nationally (1 star)
Results are from the most recent UK-wide assessment of research quality, conducted by HEFCE. More about REF 2014 results.