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Applied Statistics MSc

Middlesex University
A London (Inghilterra)

£ 8.200 - (9.151 )

Informazioni importanti

Tipologia Master
Inizio London (Inghilterra)
Durata 1 Year
Inizio lezioni Settembre 2017
  • Master
  • London (Inghilterra)
  • Durata:
    1 Year
  • Inizio lezioni:
    Settembre 2017

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.

Informazioni importanti
Quali sono gli obiettivi della formazione?

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.

Requisiti: Interviews, entrance tests, portfolios and auditions Entry onto this course does not require an interview, portfolio or audition.


Dove e quando

Inizio Luogo
The Burroughs, NW4 4BT, London, Inghilterra
Visualizza mappa
Inizio Set-2017
The Burroughs, NW4 4BT, London, Inghilterra
Visualizza mappa

Cosa impari in questo corso?

Statistical Modelling
Big Data
electronic databases
computer packages
large populations


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.

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