The Professional Doctorate in Data Science is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career through a combination of taught modules and doctoral research. A cross-disciplinary approach is central to the delivery of this programme and is therefore suitable for professionals in a broad range of professional disciplines and areas of employment.
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 visualize it, to communicate it—that’s going to be a hugely important skill in the next decades.” It is these skills and the knowledge at depth that underpins them that are the focus of this programme.
The taught elements include:
Data ecology Research Methods for Technologists Applied Research Tools and Techniques Spatial Data Analysis Analysing Qualitative Data Advanced Decision Making Work-based Project Review
The doctoral research element will focus on pure or applied aspects of Data Science within the student’s main discipline or area of employment. The programme is unique, internationally, in offering a Professional Doctorate qualification in Data Science.
The taught modules on this programme are available to be taken as credit bearing short courses by suitably qualified individuals.
pplicants for Professional Doctorate are normally expected to hold an Honours Degree with no less than an upper second class honours (2:1) in any relevant field in science, social-science and engineering disciplines. Alternatively, applicants can hold a degreequalification of an equivalent standard from a recognised university outside the U.K. Applicants holding an Honours Degree plus a recognised professional qualification canalso apply. Professional Doctorate applicants are expected to be in or have had relevant professional employment.
07 December 2016
Sept 2017 UK/EU/Full-time £8,640 Sept 2017 International £12,480
Recipient: University of East London
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