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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. This course aims to produce experts in cloud computing and big data required by academia and industry. The programme is suitable for students from both computing and mathematical backgrounds. It is very skills-focused and also offers a high degree of research training. The 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.

Different course options

Study mode

Full time


8 months

Start date



This module aims to gain an understanding of the principles of time series analysis and to develop skills useful for the modelling, analysis and forecasting of time series.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

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

University information

Newcastle University is a world-leading university, advancing knowledge, providing creative solutions and solving global problems. The university is a founding member of the prestigious Russell Group, one of 24 leading research-intensive UK universities. In recent years, Newcastle University has developed a presence in three similarly vibrant and globally-connected locations – London, Singapore and Malaysia. These provide both a global...more

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