12 months
Duration
32100 GBP/year
12900 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, law and marketing. The quantitative skills training provided by this Statistics MSc at the University College London (UCL) can lead to new and exciting opportunities in industry, medicine, government, commerce or research.

Overview

Why study this Statistics MSc degree at the University College London (UCL)?

One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

London provides an excellent environment in which to study statistical science, being the home of the Royal Statistical Society as well as a base for a large community of statisticians, both academic and non-academic.

Careers

Graduates typically enter professional employment across a broad range of industry sectors or pursue further academic study.

Employability

The Statistics MSc provides skills that are currently highly sought after. Graduates receive advanced training in methods and computational tools for data analysis that companies and research organisations value. For instance, the new directives and laws for risk assessments in the banking and insurance industries, as well as the healthcare sector, require statistical experts trained at graduate level. The large amount of data processing in various industries (known as "data deluge") also necessitates cutting-edge knowledge in statistics. As a result, our recent graduates have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

Programme Structure

Courses include: 

  • Foundation Course (not credit bearing)
  • Statistical Models and Data Analysis
  • Statistical Design of Investigations
  • Statistical Computing
  • Applied Bayesian Methods

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details
    • We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it is full or by 30 June.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. 
  • Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required.
  •  Relevant professional experience will also be taken into consideration.

Tuition Fee

To alway see correct tuition fees
  • International

    32100 GBP/year
    Tuition Fee
    Based on the tuition of 32100 GBP per year during 12 months.
  • National

    12900 GBP/year
    Tuition Fee
    Based on the tuition of 12900 GBP per year during 12 months.

Part time

  • UK: £6,450
  • International: £16,050

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Statistics
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University College London (UCL)

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