Data Science Liverpool John Moores University

Overview

It is estimated that 90% of the world's data was created in the last two years and that each day, over 2.5 billion gigabytes of data is created. Between 2012 and 2017 the take up of big data analytics amongst large enterprises in the UK more than doubled from 14% to 29%. The number of big data specialist staff working in large firms is predicted to increase by 243% to approximately 69,000 employees.

The challenges in data science are multi-faceted and very complex in their nature, including handling the huge amount of data in incompatible legacy databases. By exploiting cloud computing services, data scientists are now relatively free from the constraints of hardware and can concentrate on applying their domain knowledge and experience to make sense of the data. They can apply advanced statistical techniques and machine learning algorithms to make informed decisions which can deliver a major impact on their organisations.

The Data Science programme at Liverpool John Moores University  comprises six core modules covering statistical and computing techniques plus an extended research project. It is designed to give you the knowledge to move into the world of work as a qualified Data Scientist or to carry out further research through a PhD or equivalent. It is delivered via a combination of lectures, tutorials and and hands-on computer laboratory sessions. A major component of the MSc programme is the research project module, which will give you the opportunity to work on a high-level original research topic, with guidance from an experienced researcher and supervisor..

Career

Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.

This programme is particularly focussed on preparing you for a career in industry or for PhD level study.

​Data science is a growing area of demand with a predicted scarcity of expertise forecast over the next decade. LJMU has strong links with many graduate employers of data scientists who value the skills developed in the course such as accessing, manipulating and drawing insight from large volumes of complex data; assimilating information from the research literature and scientific and technical writing.