The minimum entry requirement is a 2:1 honours degree (or above) in Computer Science or a closely related subject.
Months of entry
Find out more about this programme at our Postgraduate Open Day on Wednesday 22 March 2017. To register, visit: Postgraduate Open Day
Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that "big data" sets are becoming common-place. The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprise where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology.
There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems.
The MSc in Big Data and High Performance Computing is designed to address this anticipated skills gap and provide those completing the programme with the necessary abilities (abilities which will be highly desirable within the employment market) to address big data centric problems in the context of HPC.
The programme has been designed and operates in close collaboration with the Hartree High Performance Computing Centre and focuses on the practical application of Big Data and HPC technology.
The programme is organised as two taught semesters followed by an individual project undertaken over either the summer or, if desired, during the following year of study. Within each semester students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a project dissertation, also 60 credits, making an overall total of 180 credits.
Fees and funding
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. For more information visit our Postgraduate Funding Tool or contact Professor Simon Parsons.
Qualification and course duration
Course contact details
- PG Recruitment
- +44 (0)152 794 5927