University of Glasgow
This course provides students with knowledge and experience of the principles, theory and practical skills of statistics.
An upper 2nd class Honours degree or equivalent with a substantial mathematics component (at least equivalent to Level 1 courses in mathematics and level 2 courses in calculus and linear algebra at the University of Glasgow). Previous study of statistics is not required. International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Master's courses.
Core courses (compulsory): introduction to R; probability or Stochastic processes 1; professional skills; regression models; statistical inference or Bayesian statistics or computational inference 2. Optional courses (1 chosen): biostatistics; multivariate methods. Semester 2 Core courses (compulsory): data analysis; generalised linear models. Optional courses (4 chosen): advanced Bayesian methods; design of statistical investigations; environmental statistics; financial statistics; functional data analysis; principles of probability and statistics; sampling and databases; spatial statistics; statistical data mining; statistical genetics; time series.
|Qualification||Study mode||Fee||Course duration|
|MSc||Full-time||£ 6,800 per Academic year (home fees)||12 months|
|MSc||Full-time||£ 15,750 per Academic year (overseas fees)||12 months|
|MSc||Full-time||£ 6,800 per Academic year (EU fees)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University of Glasgow||Glasgow||G12 8QQ||Scotland|
Postgraduate admissions enquiries
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