Applied Statistics (Postgraduate Certificate)

Year of entry

2018

Start date

October 2018

Location

Central London

Status

Fully Approved

Duration

One year part-time

Attendance

Two to three evenings a week, October to June

Other entry years for this course

2017

This one-year, part-time programme in Applied Statistics has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures. This programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the modelling and forecasting of time-dependent phenomena.

Over one year, in lectures and practical computing sessions, the programme covers both the theory and the application of statistical and stochastic modelling techniques to applied problems in industry, the public services, commerce and research. The programme proceeds from a strong theoretical background, but it is practically oriented, in order to develop your ability to tackle new and non-standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.

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Highlights

  • Covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
  • Accredited by the Royal Statistical Society - graduates may be granted Graduate Statistician (GradStat) status.
  • You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.
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Course structure

You take two core modules. These cover: probability and distribution theory; statistical inference; Markov Chains; introductory time series and forecasting; multiple linear regression; generalised linear modelling; experimental design. You will apply the theory and principles that you learn to the analysis and modelling of data in a wide range of contexts and gain experience in the use of a statistical package such as R.

Read more about this programme and read our programme handbook.

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