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.
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
Other available units include (subject to having appropriate prerequisites):
-Generalised Linear Models
-Introduction to Queueing Networks
-Martingale Theory with Applications
-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.
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.