Course summary
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's 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.
Modules
Year 1: Quantitative Data Analysis (Core), Mental Wealth; Professional Life (Data Ecology) (Core), Advanced Decision Making: Predictive Analytics & Machine Learning (Core), Spatial Data Analysis (Core), Data Science Dissertation (Core) For more information about individual modules, please visit our course pages via the link below.
Assessment method
All the learning outcomes of the programme are assessed through: Laboratory session portfolios Coursework Research dissertation
Entry requirements
Minimum 2.2 Bachelor's degree, in any subject. We would normally expect you to have Grade C in GCSE English and Maths. IELTS 6.5 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent). We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of East London
Docklands Campus
4-6 University Way
Newham
E16 2RD
Course contact details
Visit our course pageApplicant Relations Team
0208 223 3333