University of East London

MSc Data Science

The MSc in Data Science is aimed at providing opportunities for students who wish to establish expertise and employment in data-centric, largely quantitative areas within a broad range of professional disciplines and areas of employment. A cross-disciplinary approach is therefore central to the delivery of the programme.

According to Hal Varian, Google Chief Economist, "The ability to take data - to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it - that's going to be a hugely important skill in the next decades." It is these skills and the knowledge that underpins them that are the focus of this programme.

Entry Requirements

Qualifications

Minimum 2.2 Bachelor's degree, in any subject. 

We would normally expect you to have Grade C in GCSE English and Maths.

English Language requirements

Overall IELTS 6.0 overall with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)

If you do not meet the academic English language requirements for your course, you may be eligible to enrol onto a pre-sessional English programme. The length of the course will depend on your current level of English and the requirements for your degree programme. We offer a 5-week and an 11-week pre-sessional course. 

Mature applicants and those without formal qualifications

As an inclusive University, we recognise that applicants who have been out of education for some time may not have the formal qualifications usually required for entry to a course. We welcome applications from those who can demonstrate their enthusiasm and commitment to study and have the relevant life/work experience that equips them to succeed on the course. We will assess this from the information provided in your application – in particular your personal statement - to help us decide on your eligibility for the course.

Career Prospects

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.

Course Details

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 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.

Year 1

Quantitative Data Analysis
Mental Wealth; Professional Life (Data Ecology)
Advanced Decision Making: Predictive Analytics & Machine Learning
Spatial Data Analysis
Data Science Dissertation

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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