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Big Data and High Performance Computing with a Year in Industry at University of Liverpool - UCAS

University of Liverpool

Degree level: Postgraduate

Big Data and High Performance Computing with a Year in Industry (Taught)

Course options

2024 - 2025
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Course summary

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. Internship opportunities 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.

How to apply

International applicants

International Qualifications Applications from international students are welcome. International qualifications will be evaluated in line with the National Recognition Information Centre (NARIC) guidelines. English language qualifications All applicants must have reached a minimum required standard of English language and are required to provide evidence of this. Qualifications accepted by the University can be found on our International webpages. Please see www.liv.ac.uk/international for English Language requirements specific to your country. If you meet the academic requirements of the course but do not have the required level of English Language, it is possible for you to come and study at the University on one of our Pre-sessional EAP programmes. Please see the English Language Centre website for further information about these programmes; www.liv.ac.uk/english-language-centre/pre-sessional-english-courses. If you require additional English Language training during your study, the University is able to provide tuition and arrange IELTS tests through its English Language Centre, details of which are available at www.liverpool.ac.uk/english-language-centre.

Entry requirements

The minimum entry requirement is a 2:1 honours degree (or above) in Computer Science or a closely related subject. International qualifications: International Qualifications Applications from international students are welcome. International qualifications will be evaluated in line with the National Recognition Information Centre (NARIC) guidelines.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please visit the University of Liverpool course page for up to date fee information.
Big Data and High Performance Computing with a Year in Industry at University of Liverpool - UCAS