Big Data and High Performance Computing with a Year in Industry MSc Add to your prospectus

  • Programme duration: Full-time: 24 months  
  • Programme start: September 2018
  • Entry requirements: You will need a 2:1 Honours degree (or above) in Computer Science or a closely related subject.
Big Data and High Performance Computing with Year in Industry msc

Overview

The MSc in Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. Run in conjunction with the STFC Hartree Centre, this MSc programme enables students to gain a specialist qualification in an area of computing that is in great demand worldwide.

The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in  the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

  • Undertaking the project work in an industrial setting
  • Applying theory learnt in the classroom to real-world practice
  • Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.

During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

The University of Liverpool has a dedicated team to help students find a suitable placement. Preparation for the placement is provided by the University’s Careers and Employability Service (CES) who assist students in finding a placement, help students produce a professional CV and prepare students for placement interviews.

The University has very good links with industry and several companies work with us to offer our MSc students competitive placements. Although industry placements are not guaranteed, the University offers you opportunities and support throughout the process to ensure that the chance to find a placement is high.

If you are unable to secure a suitable placement by the end of April during year one, you will be transferred onto the one-year MSc to undertake the MSc project over the summer and graduate after one year.

This programme is also available without the Year in Industry as Big Data and High Performance Computing MSc/PGDip/PGCert.

To meet the increasing demands for MSc students with industry experience, the Department of Computer Science has introduced a 2-year MSc programme for graduates of the highest calibre, to develop advanced knowledge and skills in microelectronic systems and give students the opportunity to put their knowledge into practice through valuable work experience during a one year industrial placement.

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.



Why Computer Science?

Excellent partnerships

The MSc in Big Data and High Performance Computing programme has been developed, and operates, in close collaboration with the STFC Hartree Centre at Daresbury. The Hartree centre is underpinned by £37.5 million off Government investment and hosts the UKs premier supercomputing environment. The Department of Computer Science at Liverpool provides for a wide range of Big data, HPC and related skills and experience. This partnership means that this programme is unique and unrivalled. The partnership also ensures that students completing the programme have a ready route into employment facilitated by commercial contacts provided as part of the individual project element of the programme, which will in most cases is conducted with respect to real commercial requirements.

State of the art teaching and research

MSc Students who pursue their postgraduate study within the Department of Computer Science at the University of Liverpool will be an integral part of a department that is internationally renowned for its advanced research and teaching. 

The Department of Computer Science is organised into four main research groups:

  • Agents
  • Algorithmics
  • Logic and Computation
  • Economics and Computation

Together these groups provide a critical mass of expertise equal to the most complex challenges in Computer Science, within a setting that offers world-class research facilities and support.

Teaching

You will be taught by lecturers who are internationally known for their research. The MSc in Big Data and High Performance Computing is offered full-time on-campus.

The taught components of the programme offer a choice of contemporary computing topics, a strong theoretical basis and the opportunity to gain sound practical and critical analysis skills. The programme can be taken in the form of a single year (12 months) of study with the individual project being undertaken over the summer months, or alternatively the project can be undertaken in the following academic year.

Environment

The department is based on the main University of Liverpool campus, close to the city centre, in a spectacular Grade II listed building that offers a comfortable working environment with excellent research, study and computing facilities. You'll also enjoy the full support of our friendly tutors and technical teams so you can get the best from your time here.

Facilities

Computer Science is located in the grade II listed Ashton and Holt buildings (see Campus Map), with state-of-the-art equipment. 

The computing resources include an extensive integrated network of workstations running the Linux operating system and the X-Windows graphical interface, together with a large number of PCs running Microsoft Windows. Staff and students have easy access to high quality laser printing facilities and a range of specialist software.