Applied Statistics MSc

**Overview**<br/>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.<br/><br/>**Why study MSc Applied Statistics at Middlesex University?**<br/>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.<br/><br/>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. Youll also learn how to use standard statistical software like SPSS and Minitab.<br/><br/>Youll 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 youre working, youll have the option of basing your project at your workplace – making your studies even more relevant and beneficial for both you and your employer.<br/><br/>**Introducing our new Learning Framework**<br/>After working with our students to gather feedback on what they love most about our courses, we’re making some changes to how we structure and teach our programmes for the start of the 2024/25 academic year. You can find more information about how this course is affected by viewing the relevant course information sheet on our Learning Framework page: https://www.mdx.ac.uk/study/learning-framework/