Research course

Cloud Computing for Big Data

Institution
Newcastle University · School of Computing Science
Qualifications
MResPGDip by research

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.

Months of entry

September

Course content

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 forms the initial training component for 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.

Information for 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 Language course.

Fees and funding

See funding page course page on University web-site.

Qualification and course duration

MRes

full time
12 months

PGDip by research

full time
8 months

Course contact details

Name
Coordinator, Digital Institute
Email
bigdata-cdt-enquiries@ncl.ac.uk
Phone
+44 (0) 191 208 4147