Liverpool John Moores University

Liverpool John Moores University

Data Science

LJMU's cutting edge Data Science programme trains Scientists, Engineers and Mathematicians in this new field. It is taught by experts from two university departments. - Study a ground-breaking curriculum linked to industry needs - Use industry standard tools and methodologies - Undertake an extended project using real world data science problems - Learn from academics who are world-leading researchers - Use the programme as a basis for PhD study Data Science is an emerging discipline that aims to extract unique insights by extending the field of statistics to incorporate advances in computing, particularly in relation to large quantities of data.

Entry requirements

MSc: You will need: a minimum 2:2 in a numerate, scientific or computer-based subject an A level, or equivalent, in Mathematics at Grade C or more Additional information: RPL is not accepted on this programme IELTS 6.5 (minimum 6.0 in each component) If you have any specific queries, please contact fetadmissions@ljmu.ac.uk Please note: All international qualifications are subject to a qualification equivalency check via NARIC. View country specific entry requirements: www.ljmu.ac.uk/study/courses/international-entry-requirements Contact LJMU's International Admissions Team (internationaladmissions@ljmu.ac.uk) for guidance on visa information. Further information is also available from our international web pages: www.ljmu.ac.uk/international

Course modules

Your programme is made up of a number of core modules which are part of the course framework. Some programmes also have optional modules that can be selected to enhance your learning in certain areas and many feature a dissertation, extended report or research project to demonstrate your advanced learning. Core Modules Introduction To Data Analytics (20 credits) Statistical Methods In R (20 credits) Big Data Computing (20 credits) Research Methods In Data Science (20 credits) Data Mining (20 credits) Big Data Analysis (20 credits) Data Science Project (60 credits)

Assessment methods

To cater for the wide-ranging content of our courses and the varied learning preferences of our students, we offer a range of assessment methods on each programme. Assessment techniques vary from module to module to reflect relevant assessment approaches and the key learning points of each topic. You will be assessed via a combination of exams, coursework and an extended report based on your dissertation project. Typically 50% of your mark comes from coursework and 50% from an exam, although some modules may be assessed entirely by coursework done in the computer lab.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2019 7,800 per Year 1 (Scotland) 1 Years
MSc Full-time September 2019 7,800 per Year 1 (EU) 1 Years
MSc Full-time September 2019 7,800 per Year 1 (Northern Ireland) 1 Years
MSc Full-time September 2019 7,800 per Year 1 (Wales) 1 Years
MSc Full-time September 2019 14,450 per Year 1 (International) 1 Years
MSc Full-time September 2019 7,800 per Year 1 (England) 1 Years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Liverpool John Moores University L2 2QP North West

Get in touch

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Key information

Contact: 
Faculty of Engineering and Technology
Telephone number: 
01512312777