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Cloud Computing for Big Data PGDip

Cloud Computing for Big Data PGDip

Key information

Qualification type

Postgraduate Diploma

Subject areas

Network Storage

Course type


Course Summary

Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our course aims to produce experts in cloud computing and big data required by academia and industry.

The EPSRC Centre for Doctoral Training in Cloud Computing for Big Data. The programme is suitable for students from both computing and mathematical backgrounds. It is very skills-focussed and also offers a high degree of research training.

Our course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics.

All academic staff involved in teaching cloud computing modules have international reputations for their contributions to the field and some have extensive experience as practitioners in industry.

Different course options

Study mode

Full time


8 months

Start date



This module aims to achieve an understanding of linear statistical models, and how regression, Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA) models arise as special cases; to understand the problem of identifiability in ANOVA, and the role played by parameter constraints and dummy variables in solving it; to achieve an understanding of the principles involved in experimental design, and an awareness of the most important ideas; to achieve an understanding of Generalized Linear Models and achieve familiarity with the most common families and to understand basic multivariate statistical theory and ideas of Bayesian inference.

Tuition fees

UK fees
Course fees for UK / EU students

£2,885 per year. The fees stated above are for 2019 entry only. We are aligning our 2020 entry tuition fees for students with those set by UK Research and Innovation (UKRI).

Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


Entry requirements

A 2:1 honours degree, or international equivalent, in any computing science or mathematical science discipline. We will also consider applicants on an individual basis with lower or non-standard qualifications if they have relevant professional experience in computing or statistics and a strong interest in the other.