menu icon
Coronavirus (COVID-19) Latest news

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Applied Statistics

Course type

Taught

Course Summary

MSc Applied Statistics provides postgraduate instruction in the theory and methods of applied statistics. The programme is for students whose interests lie in the theory and application of statistical methods, and in methods for designing, collecting and analysing large –scale data.

You will benefit from the cutting-edge research conducted in the research centres in which professors from our department hold leading positions: the Southampton Statistical Sciences Research Institute and the ESRC National Centre for Research Methods.

Assessment:

Some modules are assessed by essays (or equivalent), others by exams and some by a mix of these methods. Exams are held at the end of each semester.

Different course options

Full time | Main Site - Highfield Campus | 12 months | SEP-20

Study mode

Full time

Duration

12 months

Start date

SEP-20

Modules

Statistical Computing - Core
Likelihood & Bayesian Inference - Core
Generalised Linear Models - Core
Dissertation - Core
Sampling Techniques - Core
Research Communications Skills - Core
Analysis of Hierarchical Data - Core
Complex Survey Data Analysis - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£9,250

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£18,812

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Selection process: We welcome applications from students who have, or expect to have, an Upper second-class honours degree involving a substantial statistical theory component as outlined below. Your application will be considered on its merits, with motivation and postgraduate experience in a statistical environment potentially important factors. Non-graduate qualifications, in particular the Graduate Diploma of the Royal Statistical Society, may be accepted in place of an undergraduate degree. Full details of previous statistical training in the form of syllabuses, reading lists and, in particular, examination papers will be helpful in assessing your suitability for the programme. Academic background: This pathway is suitable for statisticians, mathematicians, econometricians, engineers and other science graduates whose training equips them to study applied statistics at graduate level. It is also suitable for social scientists with a good training in statistics. Past students have held first degrees in subjects such as mathematics, economics, statistics, and statistics and psychology. The main prerequisite for the programme is a good grounding in the basic theory and methods of statistics, to the level of texts such as: AM Mood, FA Graybill and DC Boes (3rd ed, 1974), Introduction to the Theory of Statistics, McGraw-Hill; MH DeGroot (2nd ed, 1986), Probability and Statistics, Addison-Wesley; HJ Larson (3rd ed, 1982), Introduction to Probability Theory and Statistical Inference, Wiley.

University information

The University of Southampton has a long history of tradition, prestige and success, having just celebrated 100 years of its Highfield Campus. A founding member of the Russell Group of research-intensive universities, the University is ranked in the Top 20 UK universities in the Complete University Guide, 2020 and is also a three-times winner of the Queen's Anniversary Prize. The University is spread across five campuses in Southampton,...more

Similar courses at this uni