M.Sc. Social Statistics

University of Glasgow

Tuition fee:
  • € 5,290 / Year (EEA)
  • € 17,633 / Year (Non-EEA)
Start date: September  2014
Languages:
  • English
Location:
Delivery mode: On Campus
Educational variant: Full-time

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Description

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Core courses

* Probability or Stochastic processes 1
* Statistical inference or Bayesian statistics or computational inference 2
* Introduction to R
* Regression models
* Introduction to population studies
* Sampling and databases
* Generalised linear models
* Time series
* Design of statistical investigations
* Spatial statistics
* Data analysis
* Professional skills
* Data-analysis project (leading to a dissertation).

Optional courses

You will choose three optional courses from

* Biostatistics
* Statistical genetics
* Environmental statistics
* Functional data analysis.

1 Stochastic processes will normally be substituted in the curriculum of any student who. In the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses.

2 These option will normally be substituted in the curriculum of any student who. In the courses of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses.

Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.

Contents

Core courses

* Probability or Stochastic processes 1
* Statistical inference or Bayesian statistics or computational inference 2
* Introduction to R
* Regression models
* Introduction to population studies
* Sampling and databases
* Generalised linear models
* Time series
* Design of statistical investigations
* Spatial statistics
* Data analysis
* Professional skills
* Data-analysis project (leading to a dissertation).

Optional courses

You will choose three optional courses from

* Biostatistics
* Statistical genetics
* Environmental statistics
* Functional data analysis.

1 Stochastic processes will normally be substituted in the curriculum of any student who. In the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses.

2 These option will normally be substituted in the curriculum of any student who. In the courses of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses.

* Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.
* To complete the MSc degree you must undertake a project worth 60 credits. This is a project chosen by you to investigate a challenging statistical problem, where you will investigate the background to the project; identify relevant statistical methodology, formulate and implement an appropriate analysis plan, present your work orally and in a dissertation.
* The project will integrate the subject knowledge and generic skills that you will acquire during your Masters.
* We offer a wide range of projects, and each student is allocated an individual project. We take your preferences into account when we allocate the projects.
* You will also have the opportunity to propose your own project, subject to academic approval.

Furthermore for students hoping to continue into research, we have five major research groups:

* Biostatistics and Statistical Genetics
* Environmental Statistics
* Computational Statistics and Inference
* Statistical Modelling
* Scholarship of Learning and Teaching in Statistics
* Most MSc students choose projects offered by these groups, giving them an opportunity to go on to PhD study.

Requirements

An upper second 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 foundation courses.

Further information regarding academic entry requirements:student.recruitment@glasgow.ac.uk

For applicants whose first language is not English, the University sets a minimum English Language proficiency level.

International English Language Testing System (IELTS) Academic module (not General Training):

* overall score 6.5
* no sub-test less than 6.0
* or equivalent scores in another recognised qualification (see below)

Common equivalent English language qualifications:

* ibTOEFL: 92; no sub-test less than 20
* CAE (Cambridge Certificate of Advanced English): Bminimum
* CPE (Cambridge Certificate of Proficiency in English): Cminimum
* PTE Academic (Person Test of English, Academic test): 60; no sub-test less than 59

Pre-sessional courses
The University of Glasgow accepts evidence of the required language level from the Language Centre Pre-sessional courses. We also consider other BALEAP accredited pre-sessional courses:

* Language Centre, University of Glasgow
* BALEAP guide to accredited courses

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