Cloud Computing for Big Data MRes, PGDip
Cloud Computing for Big Data MRes, PGDip
MRes - full time: 12 months
PGDip - full time: 8 months
Profile
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.
Your course during COVID-19
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to COVID-19.
Further information
Our COVID-19 Study page gives more information about your Newcastle University study experience.
Terms and conditions and student complaints
The University has terms and conditions which create a positive environment for learning and academic achievement.
Given the changing nature of the COVID-19 pandemic, the commitments outlined are subject to the guidelines that may be in place at the time.
About this course
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.
Modules
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
Modules for 2020 entry
Module changes
Course content changes
The information above is intended to provide an example of what you will study.
Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Optional module availability
Student demand for optional modules may affect availability.
Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.
To find out more please see our terms and conditions.
Find out more about our tuition fees, including how to pay them and available discounts.
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.
Find out the equivalent qualifications for your country.
Use the drop down above to find your country. If your country isn't listed please email: international.recruitment@ncl.ac.uk for further information.
English Language Requirements
Select an English language test from the list to view our English language entry requirements.
Please email us at international.recruitment@ncl.ac.uk for further information.
If you have lower English Language scores, you may be accepted onto a Pre-sessional English course.
Due to the COVID-19 pandemic, we will be offering our Pre-sessional courses online only from June to September 2020.
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.
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.
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.
Deposit
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.
Contact
Coordinator
Digital Institute
EPSRC Centre for Doctoral Training in Cloud Computing for Big Data
Telephone: +44 (0) 191 208 4147
Email: bigdata-cdt-enquiries@ncl.ac.uk