What will I learn?

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 MSc can lead to new and exciting opportunities in industry, medicine, government, commerce or research. The programme takes a broad-based approach to statistics, providing up-to-date training in the major applications and an excellent balance between theory and application. It covers modern ideas in statistics including applied Bayesian methods, generalised linear modelling and object-oriented statistical computing, together with a grounding in traditional statistical theory and methods.

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.

Which department am I in?

Mathematical and Physical Sciences

Study options

Full Time (1 year)

Tuition fees
£31,200.00 (US$ 42,927) per year
This is a fixed fee
Start date

Expected September 2022

Venue

UCL (University College London)

Gower Street,

London,

Camden,

WC1E 6BT, England

Entry requirements

For international students

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.Overall grade of 6.5 with a minimum of 6.0 in each of the subtests. Overall score of 92 with 24/30 in reading and writing and 20/30 in speaking and listening.

*There may be different IELTS requirements depending on your chosen course.

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