Big Data and High Performance Computing MSc

  • Programme duration: Full-time: 12 months   Part-time: 24 months
  • Programme start: September 2022
  • Entry requirements: The minimum entry requirement is a 2:1 honours degree (or above) in Computer Science or a closely related subject.
Big Data and High Performance Computing msc

Overview

The MSc Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. This MSc programme enables students to gain a sought after qualification in areas of computing in great demand worldwide. 

logo BCS Accredited by the British Computer Society, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

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 enterprises 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 Big Data and High Performance Computing programme is designed to address this skills gap and provide those completing the programme with the ability to efficiently address big data and HPC challenges. Together with our growing industrial contact and engagements, this places our graduates in a prime position for future employment. 

This programme is also available as Big Data and High Performance Computing with a Year in Industry MSc.

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.

Case study: Dominic Stevenson

"It’s hard to pinpoint the best thing in the Department as there are many! There’s the friendly staff who are always willing to help, access to Hartree High Performance Computers, weekly extracurricular seminars by (visiting) lecturers to explain interesting research and it is also ranked top in the UK for 4* and 3* research in the REF rankings. There are many brilliant qualities."

Read Dominic's full case study

Why Computer Science?

Learn from leading experts in a culture of research excellence

The Department is a Centre of Excellence with respect to teaching and research. The latest Research Excellence Framework rated 97% of our research outputs as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK. With our close industry partners, and our Russell Group status, we enjoy strong funding from a mixture of European, national and industrial sponsors, providing a balanced portfolio of activity that feeds back into teaching.

Benefit from studying in a well-established department

Computer Science at the University of Liverpool has a history going back to the 1960s. As the subject grew in importance, the Department of Computer Science was established in 1983 to provide learning and research support in this new and exciting field that spans and interplays with more traditional subjects such as Mathematics, Physics, Life Sciences and Engineering. After five decades, the Department is still rapidly growing and evolving and remains at the forefront of Computer Science globally. The Department was one of the first in the University to be involved in the establishment of Xian Jiaotong Liverpool University, and has forged a strong international partnership for teaching and research between the two institutes.

Access state of the art facilities

The department is based on the main University of Liverpool campus, close to the city centre, in the grade II listed Ashton and Holt building (see Campus Map). It offers a comfortable working environment with excellent research, study and computing facilities. It is placed directly opposite the Harold Cohen Library with its vast collection of textbooks and research literature. The Library also provides plenty of additional study places. You’ll enjoy the full support of our friendly tutors and technical teams so that you can get the best from your time here.