Close
Register your interest
Register interest in your chosen subjects and receive notice of visits to your country and more
Register nowStatistical 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
- Faculty
- Mathematical & Physical Sciences
- Department website
- Statistical Science
- Availability
- Year, Spring Term
- English language level
- Level 1 - see English language requirements for more details.
- Tuition fees
- see Tuition fees for more information
- GPA requirement
- 3.3
- Subject/Module requirements
- Students are expected to have at least some relevant mathematical/statistical experience before applying. Applicants must provide evidence of prerequisites and will be contacted on receipt of the application with further instructions.
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 range of popular modules offered as a representative sample. It is not exhaustive and, since the guide is published ahead of time, module options may have changed, been deleted or replaced. If you have very specific study needs or require confirmation of module availability for 2024/25, you are strongly advised to get in touch with the relevant Affiliate contact, listed on this subject page, before making an application.
A full list of modules and descriptions are available here.
Level 1 (FHEQ 4) modules
| Module code | Title | Availability | US Credits | ECTS Credits | UCL Credits |
|---|---|---|---|---|---|
| STAT0002 | Introduction to Probability and Statistics | Year | 4 | 7.5 | 15 |
| STAT0003 | Further Probability and Statistics | Year | 4 | 7.5 | 15 |
| STAT0004 | Introduction to Practical Statistics | Year | 4 | 7.5 | 15 |
Level 2 (FHEQ 5) modules
| Module code | Title | Availability | US Credits | ECTS Credits | UCL Credits |
|---|---|---|---|---|---|
| STAT0005 | Probability and Inference | Year | 4 | 7.5 | 15 |
| STAT0006 | Linear Models and the Analysis of Variance | Year | 4 | 7.5 | 15 |
| STAT0007 | Introduction to Applied Probability | Year | 4 | 7.5 | 15 |
| STAT0023 | Computing for Practical Statistics | Year | 4 | 7.5 | 15 |
Level 3 (FHEQ 6) modules
| Module code | Title | Availability | US Credits | ECTS Credits | UCL Credits |
|---|---|---|---|---|---|
| STAT0008 | Statistical Inference | Year | 4 | 7.5 | 15 |
| STAT0009 | Stochastic Systems | Year | 4 | 7.5 | 15 |
| STAT0010 | Forecasting | Year | 4 | 7.5 | 15 |
| STAT0011 | Decision and Risk | Year | 4 | 7.5 | 15 |
| STAT0013 | Stochastic Methods in Finance I | Year | 4 | 7.5 | 15 |
| STAT0014 | Medical Statistics I | Year | 4 | 7.5 | 15 |
| STAT0025 | Optimisation Algorithms in Operational Research | Year | 4 | 7.5 | 15 |
Contact details
- Name
- Statistical Science Affiliate Tutor
- stats.study.overseas@ucl.ac.uk
- Telephone
- +44 (0)20 7679 1872