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 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).
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
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