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# Statistical Science

Statistical science underpins much of scientific and social research. In planning surveys and experiments, validly interpreting data, and producing estimates, forecasts and decisions, the advance of science relies on the principles of statistics and the art of the statistician.

## Key Information

Availability
Year, Spring Term
How to apply
Tuition fees
Faculty
Mathematical & Physical Sciences
Department website
Statistical Science

## Why study Statistical Science at UCL?

The department has played a major role in the development of statistical science ever since its foundation in 1911 as the Department of Applied Statistics – the first such department in the world. Its present staff continue to make important contributions. Their interests cover a wide spectrum, from the foundations of statistics to applications in finance, industry, science and medicine.

## What you will gain from study at UCL

You will have the opportunity to study both theoretical and practical aspects of statistics. Theoretical concepts are illustrated by real-world examples and modules on the practical use of statistical software are offered. You may also pursue personal interests through advanced, specialist modules on the application of statistics in subjects such as medicine and finance.

## Teaching and assessment

Most modules consist of lectures supplemented by at least one of the following: tutorials, workshops, problem classes. Assessment is mostly by end-of-year examinations. A few modules are assessed on project work.

## Modules in Statistical Science

Please note that this guide lists a wide range of popular module options, but it is not exhaustive and some modules may have changed or no longer be available. If you have a particular interest or academic requirement you are advised to cross reference the listing in the online Study Abroad Guide with that on the relevant departmental pages, and to contact the department to make sure that an appropriate module is available.

A full list of modules and descriptions are available here.

### Level 1 modules

Module code Title US credits ECTS credits CU credits
STAT1004 Introduction to Probability and Statistics 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT1005 Further Probability and Statistics 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT1006 Introduction to Practical Statistics 4 (US) 7.5 (ECTS) 0.5 (CU)

### Level 2 modules

Module code Title US credits ECTS credits CU credits
STAT2001 Probability and Inference 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT2002 Linear Models and the Analysis of Variance 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT2003 Introduction to Applied Probability 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT7001 Computing for Practical Statistics 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT7002 Social Statistics 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT7003 Optimisation Algorithms in Operational Research 4 (US) 7.5 (ECTS) 0.5 (CU)

### Level 3 modules

Module code Title US credits ECTS credits CU credits
STAT3001 Statistical Inference 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3002 Stochastic Systems 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3003 Forecasting 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3004 Decision and Risk 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3005 Factorial Experimentation 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3006 Stochastic Methods in Finance I 4 (US) 7.5 (ECTS) 0.5 (CU)
STAT3008 Medical Statistics I 4 (US) 7.5 (ECTS) 0.5 (CU)

## Contact details

Name
Statistical Science Affiliate Tutor
Email