Programme summary for Professional Doctorate Data Science

Programme content

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.