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MSc Statistics

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Course Description

Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, commerce and medicine. The quantitative skills training provided by this MSc can lead to new and exciting opportunities in industry, healthcare, 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.

The programme is also flexible. By selecting an appropriate combination of optional modules and a suitable project, students can choose to specialise in the following areas: biostatistics, applied stochastic modelling, quantitative decision making, quantitative analysis for industry, financial mathematics. The first of these has been formalised as a separate award.

Entry 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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

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.

Employability

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

Areas of employment include Accountancy and Financial Services, Banking and Investment, and Consultancy with graduates securing positions with a range of employers including Vanguard and WillisTowersWatson.

Module Details

Compulsory modules

  •  Statistical Computing
  •  Statistical Models and Data Analysis
  •  Statistical Design of Investigations
  •  Research Project
  •  Foundation Fortnight
  •  Applied Bayesian Methods

Optional modules

  •  Stochastic Systems
  •  Forecasting
  •  Decision and Risk
  •  Stochastic Methods in Finance
  •  Medical Statistics 1
  •  Medical Statistics 2
  •  Selected Topics in Statistics
  •  Stochastic Methods in Finance II
  •  Bayesian Methods in Health Economics
  •  Quantitative Modelling of Operational Risk and Insurance Analytics
  •  Statistical Inference
  • Computational Statistics

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change.

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