Data Science Prof Doc

This course is in clearing


Course options

Select year

Professional Doctorate

  • Prof Doc Data Science, home applicant, full time

    • Home Applicant
    • Full time, 3 years
    • Pound 10200 first year fees £10,200 (taught element), then £6,020 per year for the next two research years.
  • Prof Doc Data Science, home applicant, part time

    • Home Applicant
    • Part time, 5 years
    • Pound 1700 first year fees £1,700 (taught element) per 30 credit module, then £3,010 per year for the next three research years.
  • Prof Doc Data Science, international applicant, full time

    • International Applicant
    • Full time, 3 years
    • Pound 15960 first year fees £15,960 (taught element), then £16,100 per year for the next two research years.
  • Prof Doc Data Science, international applicant, part time

    • International Applicant
    • Part time, 5 years
    • Pound 2660 first year fees £2,660 (taught element) per 30 credit module, then £8,050 per year for the next three research years.

What makes this course different

Professional skill development

Block mode teaching, suitable for students in employment, allowing for professional skill development.

Enhanced knowledge

Integration of concepts, techniques and applications to enhance students' knowledge and skills in the analytics pipeline.

Open Source software tools

Open Source software tools which are widely used in the field of Data Science to extract value from data.

Course modules

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

Your future career

Your future career

This programme uniquely qualifies you in a field increasingly recognised as central to most professional areas and research. The research component provides 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 Royal Statistical Society membership.

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.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, and flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services 
  • Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support 
  • We are ranked 6th for graduate start-ups 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

What you'll learn

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 include 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.

How you'll learn

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.

For those studying full-time, there are two years of research and for those studying part-time,  it is two years of taught modules and three years of research.

Each taught module is based on one week's intensive attendance at the 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 remainder 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.

How you will be assessed

All the learning outcomes of the programme are assessed through:

  • Laboratory session portfolios
  • Coursework
  • Research thesis

Campus and facilities

Docklands Campus, London, E16 2RD

Who teaches this course

This course is delivered by the School of Architecture, Computing and Engineering.

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.