MSc DATA SCIENCE

This course gives you the opportunity to look at data across a wide range of subjects and sources, including finance, crime, the environment, housing, education, demographics and social media.

You will gain hands-on experience of handling data through your course work, projects and analysis. Recent students have been analysing crime data, drawing on material similar to that used for research undertaken by our course leaders for the Metropolitan Police and Essex Police.

They have also conducted data projects for companies such as KPMG and Thames Water as well as for the Department of Department of Health and NHS Foundation Trusts.

Course modules include Data Ecology, Quantitative Data Analysis, Spatial Data Analysis and Advanced Decision Making, as well as your research dissertation.

The specialisms of our academic team include data cleansing, data integration, data mining, spatial analysis and predictive analytics and their research engages them in a variety of data from crime statistics to natural hazards and from public health to business. It keeps them at the forefront of new developments in the field.

The cross-disciplinary approach to the subject at the University of East London means you can follow your own area of interest, enhancing your knowledge and skills under the expert guidance of your researchers.

The advantage of studying this programme is that it will uniquely qualify students in a field that is increasingly recognised as being central to most professional areas and for which job opportunities have been rising exponentially. Holders of an MSc in Data Science will have an advanced qualification in this area and it will prepare them for a professional or research career. Holders of this qualification will be eligible to apply for membership of the Royal Statistical Society.

Our students are professionals and graduates from a diverse range of disciplines. All are improving their career options and general expertise in this expanding market. They include data analysts from local councils, an IT teacher, an accountant, a chief software architect from Bermuda, a business manager with EDF Energy, a systems analyst, a system design analyst with Microsoft, a psychologist. Other students have graduated from IT, sports science, neuroscience, microbiology, mathematics, physics, business, economics, law, civil engineering and international management.

Minimum 2.2 Honours in Physical Science, Electrical/Electronic/Communication Engineering or Humanities and Social Science related subject.