Often known as the science of uncertainty, statistics - the study of the collection, analysis, interpretation and presentation of data – is a subject that has an impact in almost all sectors of society. Applied statistics involves putting the theory into practice - not only summarising and describing data, but extrapolating from it to draw conclusions about the population being studied. Social policy, medical practice and engineering all rely substantially on statistics and their correct use and interpretation; its impact can be life-saving.
Why study MSc Applied Statistics at Middlesex?
Our practically-orientated course gives you the skills employers are looking for – not just in terms of statistical knowledge, but transferable skills which will be useful whatever field you decide to work in. There is a shortage of well-qualified statisticians across the scientific, industrial and public sectors and a great demand for data analysts and statistical consultants, which our course has been specifically designed to meet.
This is an applied course, with a strong emphasis on relating theory to practice, which aims to develop the analytical, logical, numerical and problem-solving skills that are in such 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 our students have access to this software and can use the same systems that are used in industry.
If you're working, you'll have the option of basing your independent project at your workplace – making your studies even more relevant and beneficial for both you and your employer. You'll have quite a free choice over what sort of project you do – it could be a more theoretical dissertation, a survey or a more practical project involving a data set, whatever suits your interests and skills.
We intend to have the course accredited by the Royal Statistical Society so you will be granted Graduate Statistician status when you complete it. Our subscriptions to Bloomberg and Datastream allow you to work with real datasets. You'll also learn how to use standard statistical software like SPSS and Minitab
You’ll gain a thorough understanding of mathematical and statistical concepts and techniques and how to apply them to data sets. You’ll develop an advanced knowledge of probability, distributions, inference and stochastic processes, statistical modelling and methods of analysis, and will work on highly technical problems both independently and as part of a team. You’ll learn how to obtain different types of data from a variety of sources, including electronic databases; analyse it using programming and computer packages; and compare and choose between different methods of modelling and analysis. The course also covers big data, and the use of both small samples and big data to make judgments about large populations.
You’ll study five compulsory modules: statistical modelling; probability and stochastic processes; inference theory; descriptive statistical analysis; and time series and forecasting, plus one further option, either survival analysis or data mining. Finally, you’ll submit a dissertation, which will give you the chance to gain in-depth knowledge of an area that interests you.
Lectures and talks by visiting speakers will introduce you to concepts and techniques, which you’ll explore further through workshops, seminars, and presentations and discussions in class. Case studies will help you to relate theory to practice, and we’ll encourage you to think critically; some of your work will be done in groups. You’ll supplement all this with your own independent reading and study, including the use of online resources.
You’ll be assessed through exams, tests and your dissertation, as well as other individual and group coursework.
What are the entry requirements for MSc Applied Statistics?
We welcome applications from graduates with a good honours degree, or equivalent qualification, in an appropriate subject
We also consider candidates with other relevant qualifications and individuals with a minimum of three years work experience
Those without formal qualifications need to demonstrate relevant work experience and the ability to study at postgraduate level.
UK/EU and international students are eligible to apply for this course.
Academic credit for previous study or experience
If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.
International entry requirements
We accept the equivalent of the above qualifications from a recognised overseas qualification. To find out more about the qualifications we accept from your country please visit the relevant Support in your country page.
If you are unsure about the suitability of your qualifications or would like help with your application, please contact your nearest Regional office for support.
Visas and immigration
You will not need a visa to study in the UK if you are a citizen of the European Union, Iceland, Liechtenstein, Norway or Switzerland. If you are a national of any other country you may need a visa to study in the UK. Please see our Visas and immigration page for further information.
English language requirements for international students
You must have competence in English language to study with us. The most commonly accepted evidence of English language ability is IELTS 6.5 (with minimum 6.0 in all components). We also normally require Grade C GCSE or an equivalent qualification. Visit our English language requirements page for a full list of accepted tests and qualifications.
How can our MSc Applied Statistics support your career?
Statisticians work in many fields, from government to market research, measuring anything from changes in the environment revealing the effects of global warming to the effectiveness of medicines. There are a large number of employment opportunities for our graduates in medical statistics, medical research, commerce and industry, particularly the pharmaceutical industry. There are also many career opportunities both in areas directly related to statistics, such as economics and accountancy, and wider field in areas like health sciences, natural and environmental sciences, computing, engineering and law.
As well as in-depth knowledge of your subject, our course will provide you with many transferable skills.
It will improve your research, data collection and interpretation, IT, communication and presentation skills, as well as your confidence and your ability to work under your own initiative and manage your own time.