Professional Doctorate in Data Science Prof Doc

    About This Professional Doctorate

    Course Description

    The Professional Doctorate in Data Science (D.DataSc) 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.

    “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.” (Hal Varian, Chief Economist at Google).

    The programme is unique, international, and ground-breaking in offering a Professional Doctorate qualification in Data Science. D.DataSc is an earned doctorate that allows the holder to use the title ‘Dr’.


    This programme includes six taught modules and a Research Thesis, and is available in full-time and part-time modes. Delivery of taught modules is by block and blended learning.

    Each taught module is based on one week's intensive attendance at the UEL Docklands campus, according to an advertised calendar, usually at the beginning of each semester. Students are expected to have a laptop computer for in-class practical sessions. During the remaining of the semester, students can work on their reading, practical components (from a workbook) and coursework. Students will be supported online or on campus depending on individual students’ arrangements. The taught modules on this programme are available to be taken as credit bearing short courses by suitably qualified individuals.


    Our Doctoral Research course focuses on pure or applied aspects of Data Science, with each student studying data from within their main discipline or area of employment. You will learn reflective and analytic approaches to data while engaging in your own data research.

    The taught elements of the course include Data Ecology, Research Methods for Technologists, Applied Research Tools and Techniques, Spatial Data Analysis, Advanced Decision Making, Work-based Project Reviews and Planning for Doctoral Research.

    These elements will be reinforced by the specialist knowledge of our course leaders, whose fields of expertise includes data cleansing, data integration, data mining, spatial analysis and predictive analytics.

    Their recent research has engaged them in data from crime statistics, natural hazards, public health and business, keeping them at the forefront of new developments in the field.

    Our cross-disciplinary approach to the subject means that whatever your area of interest, our researchers will have the experience and expertise to enhance your knowledge and skills.

    The taught modules on this course are available to be taken as credit-bearing short courses by suitably qualified individuals.


    This programme uniquely qualifies students in a field that is increasingly recognised as being central to most professional areas and research. The research component provides for a solid grounding in methods and engagement with leading-edge ideas. Job opportunities in Data Science are rising exponentially. Holders of a Professional Doctorate in Data Science will have the highest possible qualification in this area and prepare them for senior positions. They will also be eligible to apply for membership of the Royal Statistical Society.

    Our students are professionals from a diverse range of areas. They include a global compliance engineer, a senior system analyst, an analytical chemist, an assistant dean at Qatar University, a SAP technology consultant from Germany, an IT trainer, a senior project manager with Diageo, an ICT manager from Ireland, a lecturer in databases from Oman, a principal consultant with Verizon, a company MD, a senior analytical consultant with TripAdvisor, a consultant with HSBC, a software developer with HMRC, a school teacher, a marketing officer, a data manager in Microsoft and a data analyst from New York. 

    All are looking to improve their career options and general expertise in this expanding market.

    Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

    Visit the Data Science Prof Doc page on the University of East London website for more details!

    Entry Requirements

    Minimum 2.1 Honours in Physical Science, Electrical/Electronic/Communication Engineering or Humanities and Social Science related subject.

    We would normally expect you to have Grade C in GCSE English and Maths.

    Applicants are required to have relevant Work Experience

    Overall IELTS 6.0 overall with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)

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