Data Science

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 programme 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.

MSc Data Science is available for study as either a 180 credit or 240 credit routeway.

The 180 credit version of the course is usually run over one full year with the taught modules in Semesters 1 and 2, and the independent research project in the summer. The 240 credit routeway is studied over two years: Semesters 1 and 2 in both years.

The new 240 credit route includes a Group Design Project which aims to apply data science to the solution of a real-world problem. This will:

consolidate knowledge and skills learned during the first year, as well as develop new ones provide an opportunity to further use the tools and systems that data scientists and data engineers use, increasing your readiness for the job market equip you with the transferrable project management skills needed to excel in your chosen career