Cloud Computing for Big Data (MRes)

Newcastle University the United Kingdom

For more information about Cloud Computing for Big Data at Newcastle University, please visit the webpage using the button above.

The award
MRes

How long you will study
12 months

Domestic course fees
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How you will study
full-time

Course starts
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International course fees
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All study options

About Cloud Computing for Big Data at Newcastle University

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 MRes can only be applied for as part of the four-year (MRes plus PhD) 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.

Delivery

During the MRes you will undertake advanced Masters' level training in cloud computing and data analytics. The training will begin with a module in either computing science for mathematicians (for those with a statistics background) or statistics for computing scientists (for those from a computer science background).

All students will then be taught topics including statistics for big data, programming for big data, cloud computing, machine learning, big data analytics and time series analysis. The taught component will finish with a substantial group project, where you will have the opportunity to work with students from different backgrounds on a practical industry-focused data analysis problem.

Following this in years 2-4, you will carry out PhD research, guided by PhD supervisors from within the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, and typically additional advisors from industry.

Facilities

You will have access to free cloud computing resources to manage your research, a purpose-built Decision Theatre and 3D visualisation facility and a 3D printing learning lab.

You will be based in The Core building, where you will have the opportunity to work alongside experts in key areas of computing science, as well as access to industrial partners. You will also receive funding to attend selected conferences in emerging areas of your research discipline. We also offer funding for equipment and software to support your research. 

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMResHow you will studyFull-timeHow long you will study12 months
    Course starts find outDomestic course fees find outInternational course fees find out
  • The awardPG DipHow you will studyFull-timeHow long you will study8 months
    Course starts find outDomestic course fees find outInternational course fees find out

Notes about fees for this course

See our course fees and funding webpage - http://www.ncl.ac.uk/postgraduate/courses/degrees/cloud-computing-for-big-data-mres-pgdip/#fees&funding

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.

International Students

To study this course you need to meet our Band 8 English Language requirements:

Direct Entry: IELTS 7.0 overall (with a minimum of 6.5 in all sub-skills)

If you have lower English Language scores, you may be accepted onto a pre-sessional English course. 

Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests.

The equivalent academic qualifications that we accept are listed on our country pages.

Pre-sessional English Course Requirements

  • 6 week Pre-sessional entry:Not accepted    
  • 10 week Pre-sessional entry: IELTS 6.5 overall (with a minimum of 6.0 in all sub-skills)

You can study a pre-sessional English course at our INTO Newcastle Centre.

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