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Applied Statistics, MSc Applied Statistics, MSc Middlesex University

Middlesex University

Masters Degree , Applied Statistics

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Course Description

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.

Why study MSc Applied Statistics at Middlesex University?

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.

Course highlights

  • You will be able to work with real datasets by utilising our subscriptions to Bloomberg and Datastream
  • As a student of this course you'll receive a free electronic textbook for every module.

Course Content

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.

Modules

  • Statistical Modelling (30 credits) - Compulsory

  • Probability and Stochastic Processes (30 credits) - Compulsory

  • Inference Theory (15 credits) - Compulsory

  • Descriptive Statistical Analysis (15 credits) - Compulsory

  • Time Series and Forecasting (15 credits) - Compulsory

  • Data Mining (15 credits) - Optional

  • Survival Analysis (15 credits) - Optional

 

Entry Requirements

Qualifications

  • 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

Eligibility

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.

Interviews, entrance tests, portfolios and auditions

Entry onto this course does not require an interview, portfolio or audition.

Reviews

Similar Subjects

Applied Statistics Medical Statistics Probability Statistical Modelling Statistics

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