Applied Statistics
Entry requirements
We normally require a second class honours degree 2:2 or above, in an appropriate subject with a significant amount of mathematics in its curriculum.
Months of entry
September, October
Course content
Often known as the science of uncertainty, statistics is of vital importance in modern society where almost all sectors rely on the collection, analysis and interpretation of data. There is a great shortage of well qualified statisticians, data analysts and statistical consultants across the sector and this course has been specifically designed to meet that demand.
Applied statistics involves putting theory into practice - not only summarising and describing data, but extrapolating from it to draw conclusions about the population being studied. This is an applied, practically-orientated course that gives you advanced knowledge of statistical methods and the theory that underpins these methods. With a strong emphasis on relating theory to practice, you will develop your analytical, logical, numerical and problem-solving, skills that are in such high demand with employers.
Middlesex is one of only four institutions in the UK which has been approved as a mirror for the statistical programming language R – meaning you will have access to software used in the industry. You'll also learn how to use standard statistical software like SPSS and Minitab.
You'll have the freedom to choose the type of independent research project you do which can take the form of a theoretical dissertation, a survey or a more practical project involving a data set. If you're working, you'll have the option of basing your project at your workplace – making your studies even more relevant and beneficial for both you and your employer.
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Postgraduate Enquiries
- enquiries@mdx.ac.uk