MSc Applied Statistics in Southampton United Kingdom | University of Southampton

University of Southampton | Southampton United Kingdom
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
GBP 24,200
(c. USD32,994.28)
Attendance
Full-time
Full-time Duration
12 months

Learn the theory and application of statistical methods on this MSc Applied Statistics degree at the University of Southampton. Gain in-depth knowledge and skills in analysing large-scale data to solve problems. You'll graduate ready for a career as a statistician in a wide range of sectors, from government to medicine. On this UK statistics master’s course we’ll teach you how to collect and analyse quantitative social science data and apply it to real-world problems. Through your choice of modules you’ll be able to adapt the course to your personal interests or career plans. Typical subjects include: survey methods and design, survey modelling (multilevel, longitudinal, linear) and analysing complex data sets. You’ll benefit from the research of our expert academics, whose findings feed directly into the course content. Our main areas of expertise at Southampton include: sampling, small-area estimation, census and administrative data and analysis of ‘big data’. We’re known for the expertise and international scope of our research and for the application of cutting-edge quantitative and qualitative methods.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

You will need a 2:1 degree in a relevant subject such as:

  • Statistics
  • Quantitative analysis
  • Maths
  • Economics (with emphasis on econometrics)
  • Physical sciences
  • Social sciences (with emphasis on quantitative methods)
  • Geography (with emphasis on quantitative methods)

We will also consider non-graduate qualifications, such as the Graduate Diploma of the Royal Statistical Society. Details of your statistical training will help us assess your suitability.

Tuition GBP 24,200

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