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.
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.
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.
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Modules for 2017 entry
- CSC8101 Big Data Analytics*
- CSC8110 Cloud Computing
- CSC8111 Machine Learning
- CSC8622 Programming for Big Data
- CSC8623 Research Skills
- CSC8624 Professional Skills
- CSC8625 Group Project in Cloud Computing for Big Data
- MAS8381 Statistics for Big Data
- MAS8382 Time Series Data
- CSC8699 Research Project and Dissertation in Cloud Computing for Big Data**
*If you have already taken module CSC8101 you will study module CSC8203 instead.
**MSc students only
You will also study one of the following optional modules:
Modules change annually to take account of:
- changing staff expertise
- developments in the discipline
- the requirements of external bodies and partners
- student feedback.
Most module information for 2018 entry will be available from mid-May 2018.
Fees & Funding
The fees displayed here are per year.
Full time: £4,800*
*UK/EU students will not have to pay fees if they are awarded a Doctoral Training Centre studentship
Full time: £21,600
Full time: £3,200
Full time: £3,200
Full time: £10,800
Find out more about our tuition fees, including how to pay them and available discounts.
EU students starting at Newcastle in 2018 will pay the UK (Home) tuition fee for the full duration of their course.
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.
Find out the equivalent qualifications for your country.
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English Language Requirements
Select an English language test from the list to view our English language entry requirements.
Please email us at email@example.com for further information.
Pre-sessional English Course RequirementsPre-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 our Pre-sessional English course at the INTO Newcastle Centre.
How to Apply
You apply online, track your application and contact the admissions team via our applicant portal. Our step by step guide can help you on your way.
You initially only apply for the MRes Cloud Computing for Big Data (course code 4852F). Upon successful completion of the MRes you will then be transferred on to the PhD programme. You will be admitted to the MRes independently of a supervisory team and specific research project.
For application deadlines see the EPSRC Centre of Doctoral Training Cloud Computing for Big Data website.
If you live outside the UK/EU you must:
- pay a deposit of £1,500
- or submit an official letter of sponsorship
The deposit is payable after you receive an offer to study at Newcastle University. The deposit is non-refundable, but is deducted from your tuition fees when you register.
EPSRC Centre for Doctoral Training in Cloud Computing for Big Data
Telephone: +44 (0) 191 208 4147