This Data Science course at University of East London 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.
Your future career
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.
- Quantitative Data Analysis
- Mental Wealth; Professional Life (Data Ecology)
- Advanced Decision Making: Predictive Analytics & Machine Learning
- Spatial Data Analysis
- Data Science Dissertation
- 12 months
- 24 months
Start dates & application deadlines
- Apply before , International
DisciplinesInformatics & Information Technology Data Science & Big Data Machine Learning View 231 other Masters in Machine Learning in United Kingdom
- Minimum 2.2 Bachelor's degree, in any subject.
- We would normally expect you to have Grade C in GCSE English and Maths.
International14760 GBP/yearTuition FeeBased on the tuition of 14760 GBP for the full programme during 12 months.
National9420 GBP/yearTuition FeeBased on the tuition of 9420 GBP for the full programme during 12 months.
UK: Part time: £1,570 Per 30 credit module
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.