Minor in Statistics
UCAS code: Your UCAS code will be the code of your Major.
Available for students starting in September 2017.
If you choose a Minor in Statistics you will study statistical analysis of data and develop skills needed for application of statistics in a wide range of areas including economics and business, social and natural sciences, medicine, and actuarial science. No matter what position you ultimately hold, core skills in statistical knowledge are always useful.
In your first year you will study the basic ideas of probability theory and probabilistic models. You will also cover both descriptive and inferential statistics techniques, including their application to a range of real world problems.
- Introductory Statistics
In your second year you will study the application of statistical concepts and tools to real-world problems, as well as development and testing of statistical models of data.
- Applied Statistics
- Linear Statistical Models
In your final year you will study linear logistic regression models for binary data and will learn how to use the statistical software package R. You will have an option either to study further applications of statistics in actuarial science or modern concepts and tools of data mining and neural networks. You will cover a variety of statistical ideas, as well as algorithms for machine learning and pattern recognition.
- Generalised Linear Models
- Either Actuarial Statistics or Data Mining and Neural Networks (computer programming skills required for this module)
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
A-level Mathematics or Statistics at Grade A.
Now choose your Major
On a Major/Minor degree, 25% of your course will be your Minor (in this case Statistics) and 75% will be your Major.
Please note that you cannot study a Minor in Statistics with a Major in Mathematics.